Noha Gad

As Saudi Arabia accelerates its digital transformation agenda, artificial intelligence (AI), cloud computing, cybersecurity, and intelligent infrastructure are becoming central to the Kingdom’s economic and technological development. Its ambition to become a global technology and AI hub is creating new opportunities for organizations that can help businesses and government entities move from experimentation to secure, scalable, and commercially valuable digital solutions.

NTT DATA is playing a pivotal role in this transformation, supporting public and private organizations across Saudi Arabia with digital infrastructure, cloud adoption, data and AI solutions, cybersecurity, and managed services. 

On the sidelines of LEAP 2026, Sharikat Mubasher held an interview with Ahmad Qarout, Technology Solutions Leader at NTT DATA Saudi Arabia, to learn more about the company’s business in the Kingdom, how its solutions support organizations’ digital transformation and cloud adoption, and its long-term strategy to expand in Saudi Arabia and the broader region.

First, could you walk us through NTT DATA's business in Saudi Arabia, and explain how your solutions contribute to accelerating digital transformation and advancing the technology industry in the Kingdom?

Saudi Arabia is one of NTT DATA's most strategic markets globally, and we are proud to support public and private sector organizations across their digital transformation journeys. We help clients modernize infrastructure, accelerate cloud adoption, strengthen cybersecurity, harness data and AI, improve customer experiences, and operate complex digital environments at scale. 

As the Kingdom moves from digital transformation ambition to large-scale execution, organizations are increasingly looking for partners that can not only design and deploy technology, but also operate, secure, and continuously optimize it. This is where NTT DATA differentiates itself. We combine global expertise with strong local engagement, helping organizations turn innovation into measurable business outcomes. 

Our work directly supports Vision 2030 by enabling organizations to leverage AI, cloud, data analytics, intelligent automation, and cybersecurity to improve productivity, accelerate innovation, and develop new capabilities. We are equally committed to knowledge transfer, skills development, and building a sustainable local digital ecosystem that supports the Kingdom's long-term growth ambitions. 

NTT DATA is participating in LEAP 2026 to showcase AI-powered intelligent infrastructure and cutting-edge solutions. How do these technologies work together to create a truly intelligent ecosystem within Saudi Arabia?

A truly intelligent ecosystem requires much more than AI applications alone. It depends on the integration of data, infrastructure, networking, cloud, security, governance, and operational expertise working seamlessly together. At LEAP 2026, NTT DATA showcased how these elements combine to create an environment where AI can move from experimentation to enterprise-wide value. 

Our approach brings together AI solutions, modern digital infrastructure, advanced networking, cybersecurity, and intelligent operations to help organizations automate workflows, improve decision-making, enhance customer experiences, and unlock greater value from enterprise data. This creates a secure foundation for scaling AI responsibly and effectively. 

A key example is the new NTT DATA AI Factory Lab in Riyadh, which will provide organizations with hands-on experiences and practical demonstrations of real-world AI use cases. The lab will feature technologies including the Cisco Secure AI Factory with NVIDIA, allowing organizations to explore how AI workloads can be built, deployed, governed, and scaled on an enterprise-grade foundation while maintaining visibility, security, compliance, and operational resilience. 

How do you assess the role of premier events such as LEAP 2026 in strengthening the Kingdom's position as a global AI and technology hub?

LEAP has become one of the world's most influential technology events and plays a critical role in advancing Saudi Arabia's position as a leading global AI and innovation hub. It provides a platform that brings together technology leaders, policymakers, investors, startups, hyperscalers, and enterprise customers to exchange ideas, showcase innovation, and accelerate partnerships. 

What makes LEAP particularly important in 2026 is that it reflects the evolution of the Saudi technology market. The conversation has shifted from digital ambition to practical execution, with organizations focused on scaling AI, building resilient infrastructure, and delivering measurable outcomes. Events such as LEAP help facilitate these conversations and drive collaboration across the ecosystem. 

For NTT DATA, LEAP is an opportunity to engage directly with customers and partners, demonstrate real-world innovation, and contribute to the development of a thriving technology ecosystem aligned with Saudi Arabia's Vision 2030 goals. 

Does NTT DATA plan to announce any strategic initiatives or partnerships during LEAP 2026?

NTT DATA continues to invest in strategic partnerships and ecosystem collaboration across Saudi Arabia and the wider region. The growing number of partnerships and MOUs reflects the direction of the Saudi market itself, where collaboration between global technology leaders, local organizations, and government stakeholders is becoming increasingly important. 

One of our key initiatives and announcements is the launch of the NTT DATA AI Factory Lab in Riyadh, which brings together NTT DATA's AI expertise with technologies from leading partners including Cisco and NVIDIA. The lab is designed to help organizations move from AI exploration to practical implementation through executive workshops, demonstrations, and real-world use case development. 

What is NTT DATA's long-term strategy for expanding its business within Saudi Arabia and the broader region?

Our long-term strategy is centered on supporting the next phase of growth in Saudi Arabia and the Middle East, where digital transformation is increasingly becoming an ongoing operational capability rather than a one-time project. We are investing in local presence, local talent, and in-country delivery capabilities to help customers manage increasingly complex and mission-critical technology environments. 

We see significant opportunities in AI, cloud, cybersecurity, intelligent infrastructure, data-driven transformation, and managed services. As organizations scale AI and modernize their operations, they require trusted partners that can help them operate securely, meet sovereignty requirements, and continuously optimize performance. 

The launch of the AI Factory Lab in Riyadh is one example of this commitment. More broadly, our goal is to help organizations across the region build resilient, secure, and future-ready digital foundations while supporting national priorities around innovation, skills development, and economic diversification. Ultimately, we want to help clients transform ambitious digital investments into sustainable business outcomes and long-term value creation. 

Ghada Ismail

Not every startup wants to become the next billion-dollar company. Some founders are less interested in chasing huge valuations and more interested in building a business that can survive when things get tough.

This is where the idea of a cockroach startup comes in.

The name may sound unusual, but the idea behind it is fairly simple. A cockroach startup is built to be resilient. It aims to keep operating through difficult markets, limited funding, changing customer needs, and unexpected setbacks.

In other words, it is a startup that focuses on staying alive and growing steadily rather than expanding as quickly as possible.

Where Does the Term Come From?

The comparison comes from the insect itself. Cockroaches have a reputation for surviving harsh conditions, which is exactly the quality the term is meant to describe in a business.

A cockroach startup is usually careful with its money, keeps its operations relatively lean, and looks for ways to generate revenue instead of depending entirely on investors.

That does not mean these companies never raise funding. They can still attract venture capital and other forms of investment. The difference is that funding is treated as a tool for growth rather than the only thing keeping the company going.

A cockroach startup also takes a more cautious approach. Instead of asking, “How quickly can we grow?” its founders may be asking, “How can we grow without running out of money?”

That difference from other startups can affect almost every part of the business, from hiring and marketing to product development and expansion plans.

For example, a startup following the cockroach model may avoid hiring a large team before there is enough revenue to support it. It may also focus more heavily on keeping existing customers rather than spending heavily to acquire new ones.

What Makes a Startup a Cockroach?

There is no fixed formula, but a few characteristics tend to stand out.

The first is financial discipline. Founders pay close attention to expenses, cash flow, and how long their available capital can support the business.

Another is an early focus on revenue. A company does not necessarily have to be profitable from the beginning, but having paying customers can give it more room to operate when fundraising becomes difficult.

Then there is adaptability. Startups rarely follow their original plans exactly. Customer demand can change, competitors can appear, or an economic downturn can force founders to rethink their strategy. A resilient startup needs to respond rather than simply stick to the original plan.

A smaller, more focused team can help with this as well. When there are fewer layers of management, decisions can often be made faster, and resources can be directed toward what matters most.

Why Does the Model Matter?

The cockroach approach has become particularly relevant during periods when startup funding becomes harder to secure.

When investors are willing to put large amounts of money into startups, companies can afford to prioritize growth over profitability for a while. But when funding slows, businesses that have been spending heavily without generating enough revenue can quickly find themselves under pressure.

A more resilient company has a better chance of weathering that period.

It may not grow as quickly as a heavily funded competitor, but it can have more control over its future. It may also avoid having to raise money simply because it needs enough cash to keep the lights on.

Is a Cockroach Startup Better?

Not necessarily.

Some businesses genuinely need significant amounts of capital to grow. A technology company developing complex infrastructure, for example, may need substantial investment before it can generate meaningful revenue. In other markets, moving slowly can allow competitors to get ahead.

So the cockroach model is not a rule that every founder should follow.

Its real value is the mindset behind it: build a company that can survive before assuming it will always have access to more money.

A startup does not need a billion-dollar valuation to be successful. Sometimes, success simply means building a useful product, earning loyal customers, keeping the business financially healthy, and being able to make it through the next difficult period.

That may not be as flashy as a unicorn story, but for many founders, it can be a much more realistic definition of success.

Ghada Ismail

When people talk about venture capital and private equity, two terms appear repeatedly: Limited Partners (LPs) and General Partners (GPs). While both are essential to an investment fund, they play very different roles.

In simple words, LPs provide the capital, while GPs manage and invest it. Understanding this relationship is key to understanding how venture capital and private equity funds work.

What is a Limited Partner?

A Limited Partner is an investor who commits money to an investment fund but generally does not participate in its day-to-day management.

LPs can include pension funds, sovereign wealth funds, family offices, insurance companies, endowments, banks, and high-net-worth individuals. In the venture capital ecosystem, they provide the majority of the capital that funds use to invest in startups.

LPs typically commit a specific amount to a fund, but they do not necessarily transfer the entire amount upfront. Instead, the GP can make capital calls when investments or other fund expenses require funding.

In return, LPs receive a share of the fund's returns. Their potential liability is generally limited to the amount they have committed to the fund, which explains the term "limited" partner.

What is a General Partner?

General Partners are responsible for running the investment fund.

The GP is typically the venture capital or private equity firm managing the fund. Its responsibilities include identifying investment opportunities, conducting due diligence, negotiating deals, supporting portfolio companies, and deciding when to exit investments.

GPs also manage the fund's relationship with LPs, provide performance updates, and oversee the fund's overall strategy.

Unlike LPs, GPs are actively involved in investment decisions and typically commit some of their own capital to the fund.

The basic financial structure behind LP and GP partnerships

LPs and GPs usually make money in two main ways: management fees and carried interest.

GPs typically charge a management fee to cover the costs of running the fund, such as salaries, office expenses, and other operating costs. They can also earn carried interest, or “carry,” which is a share of the profits made from the fund’s investments.

For example, if a venture capital fund invests in several startups and those investments become highly successful, the GP can receive a percentage of the profits once certain conditions are met.

LPs receive most of the profits generated by the fund after management fees and carried interest are deducted. In simple terms, LPs provide most of the capital, while GPs manage the fund and earn fees plus a share of the profits if the investments perform well.

LP vs. GP: The Key Difference

The easiest way to remember the distinction is:

LP = supplies capital
GP = manages capital

LPs typically do not choose individual startups or companies for investment. Instead, they select funds based on factors such as the GP's track record, investment strategy, team, geographic focus, and expected returns.

GPs then deploy the capital according to the fund's investment strategy.

Why the Relationship is Important

A strong LP-GP relationship can be critical to a fund's success.

LPs want GPs to generate attractive returns while managing risk responsibly. GPs, meanwhile, rely on LPs for the capital needed to execute their investment strategy and often seek to build long-term relationships that can support future funds.

For startups, this relationship may seem distant, but it can have a direct impact. A well-capitalized VC fund has the resources to back promising startups through multiple funding rounds and potentially provide additional support as they scale.

To Wrap Things Up…

LPs and GPs are two sides of the same investment structure. LPs provide the financial firepower, while GPs provide the investment expertise and management.

The model allows institutions, family offices, and other investors to gain exposure to private markets without managing individual investments themselves, while giving professional fund managers the capital needed to identify and build the next generation of companies.

For anyone looking to understand how venture capital works, knowing the difference between LPs and GPs is one of the best places to start.

Shaimaa Ibrahim

Arabic voice AI technologies are at the forefront of digital transformation in the GCC region, driven by growing demand for intelligent solutions that understand local dialects and interact with users spontaneously and instantly, as well as the increasing need for data sovereignty and compliance. Against this backdrop, Hamsa, a US-listed company headquartered in Amman, stands out as an AI company specializing in developing advanced models that understand Arabic language and dialects; an integrated voice AI system; and intelligent agents capable of interacting with users, implementing tasks, and integrating with enterprise systems.

In an exclusive interview with Sharikat Mubasher, Ibrahim Jabarin, CEO of Hamsa, discussed the company’s strategy, its vision for the future of voice AI in the region, its competitive position among international peers, and its expansion plans across Saudi Arabia, the UAE, and other Gulf and Arabian markets.

Jabarin highlighted major pitfalls in the sector and unveiled Hamsa’s roadmap that includes supporting more than 16 languages, developing a new generation of intelligent agents, and enhancing security and compliance, thereby strengthening its presence regionally and globally.

First, tell us more about Hamsa, what distinguishes it in the Arabic AI technologies market, and the key solutions and services that the company provides for enterprises?

Hamsa is a voice AI company that develops its proprietary models capable of understanding and processing the Arabic language. We developed our Arabic model from scratch rather than relying on models originally developed for English and subsequently adapted for Arabic. This approach positively impacted performance; the accuracy of Hamsa’s models reached about 94% in transcribing Saudi and Gulf dialects and about 92% in standard Arabic. 

The company is also developing an integrated ecosystem that features speech recognition, voice synthesis, noise cancellation, speaker recognition, and integration with enterprises’ communication systems and operational infrastructure. This provides a quick response of up to 280 milliseconds to the first audio byte, with intelligent agents’ response time ranging from 0.8 to 1.2 seconds.

For enterprises, Hamsa provides a wide spectrum of comprehensive solutions, including real-time voice processing for calls and web applications; a Low-Code platform dedicated to designing chat agents and executing operations; APIs that help developers build their own solutions; and the ‘Hamsa Media’ product that processes voice content at large scale, including transcription, voice-over, and dubbing.

All these solutions can be deployed within customer data centers or via a private cloud hosted within the country to meet enterprises’ need for data sovereignty and compliance. 

To what extent have the strategic partnerships forged by Hamsa contributed to expanding the company’s business, deepening its regional presence, and attracting new customers?

For Hamsa, partnerships are not merely an additional sales channel; they represent a fundamental pillar for entering markets and accelerating the adoption of voice AI solutions, particularly in regulated sectors, such as banking and government entities that choose trustworthy suppliers with established experience and relationships. 

We adopt four main partnership tracks: systems integration and consulting firms, infrastructure and hardware partners, customer experience platforms and contact centers, as well as telecommunications operators

These partnerships help accelerate sales cycles, strengthen Hamsa’s ability to implement projects and expand in the market without a significant increase in the teams, and unlock access to strategic enterprises and accounts that are otherwise difficult to reach directly.

The company also relies on integration with customers’ existing technical infrastructure through open protocols and standards that reduce transformation complexities and shorten implementation time. Therefore, Hamsa’s strategy for entering any new market begins with searching for the right partner before the first customer. This underscores our belief that a strong partnership is the cornerstone for building a sustainable presence and accelerating growth.

Hamsa recently concluded a strategic agreement with OmniOps. In your opinion, how will this partnership accelerate the adoption of voice AI technologies within government and private organizations?

The significance of this partnership lies in its ability to address the most prominent barriers to voice AI adoption in the Kingdom, which are no longer related to model quality, but rather revolve around three key questions: where is the data stored? Who operates the solutions within the Kingdom? And how are they integrated with existing systems? The partnership provides comprehensive answers to all these requirements by keeping sensitive voice data within the Kingdom, with an accredited local authority responsible for operations, integration, and support, in compliance with the Personal Data Protection Law (PDPL) and data localization requirements.

This ecosystem enables enterprises to transition from limited pilot phases to full-scale production deployment by providing models, infrastructure, integration, and support within an integrated framework and a single accountable entity, rather than dealing with multiple suppliers and technologies.

Based on Hasma’s experience, this approach could shorten project implementation timelines to between six and nine months, while delivering intelligent Arabic voice services all day long, with all data remaining within the Kingdom's borders.

Why does Saudi Arabia represent a priority in Hamsa’s expansion strategy, and where do you see growth opportunities you are targeting over the upcoming period?

Saudi Arabia is the top market for Hamsa for several reasons. First, language and dialects. The company’s technologies have been built from the ground up to understand Arabic and its dialects, particularly the Saudi dialect, rather than adapting a global product to meet local market needs.

Second, the market size. The Kingdom hosts the largest call center operations in the region, especially in the banking, telecommunications, and healthcare sectors, which handle millions of calls per month. This offers significant opportunities to automate repetitive tasks using intelligent voice agents.

Third, the regulatory and strategic environment. Vision 2030 and the National Data and AI Strategy have made AI adoption a national priority, accelerating transformation and uptake.

Fourth, data sovereignty requirements. Though these requirements represent a challenge for many solution providers worldwide, they represent a strength for Hamsa. We designed our solutions to operate within customers’ data centers or via a private cloud hosted within the Kingdom, in line with compliance and data localization mandates.

We see significant growth opportunities in the banking and financial sector, particularly in customer services, card management, collections, and identity verification; in telecommunications, government services, and healthcare, in areas such as patient follow-up and preliminary screening; as well as retail and e-commerce, in order management and delivery services.

Beyond Saudi Arabia, which other GCC markets does Hamsa target, and what are your expansion plans for the next few years?

The United Arab Emirates is the second most important strategic market for Hamsa, as it is one of the fastest countries globally in AI adoption, particularly within the government sector, along with its position as a regional innovation hub. Hamsa enables the deployment of its solutions within the country, in line with the regulatory requirements and data sovereignty mandates.

Qatar represents another significant market for the company, notably in the healthcare and government services sectors, while Bahrain and Oman are considered promising markets, where Hamsa relies on local partnerships to reach customers and implement projects efficiently.

Beyond the GCC, Hamsa aims to expand in Egypt, Jordan, and Morocco, given the substantial operational scales these markets offer in communications centers, government services, and the financial sector. The next phase will focus on expanding into global markets by strengthening the platform to support more than 16 languages, leveraging the company’s expertise in developing models that can understand Arabic dialects and switch between languages despite limited data availability.

In all markets it enters, Hamsa adopts a unified approach that depends on three main principles: a local partner with deep market knowledge and established relationships; hosting solutions within the country to ensure compliance with sovereignty and data protection requirements; and providing technical and operational support in accordance with local time.  

Amidst the growing competition with global companies, where does the competitive advantage of Hamsa’s Arabic voice AI solutions lie?

It is important to acknowledge that global companies have extensive expertise and substantial budgets to develop AI technologies; however, our competition is not built on scale, but on delivering value that resonates with the needs of the Arab market. We believe Hamsa excels in four key areas: 

1. Building Arabic models from the ground up. Most global solutions rely on models originally developed in English, with Arabic support added as an afterthought. This limits their ability to understand local dialects and switch between Arabic and English. At Hamsa, we trained our models from the beginning on this linguistic reality.
2. Owning the full technology stack. Hamsa develops core components of the technology stack through a single platform, from speech recognition and voice synthesis to telecommunications, which ultimately reduces complexity and costs. This enables us to optimize performance, adjust response time, and deliver a stable, reliable experience.
3. Data sovereignty and compliance. Hamsa’s solutions are designed to operate within customers’ data centers or via a private cloud hosted within the Kingdom, fulfilling the requirements of banks and government entities. Our solutions comply with personal data protection laws in Saudi Arabia and the UAE.
4. Deep market knowledge. Our teams across the region deeply understand enterprises' needs, procurement dynamics, and regulatory requirements. This enables us to develop solutions tailored to the local market, including models specifically designed for local dialects.

How do you see the future of AI Agents in the GCC region?

The voice AI market in the region is moving toward three major shifts, the first of which has already begun:

1. From pilot phases to full-scale production: Organizations are moving beyond exploring potential and are now seeking scalable, production-ready solutions with high reliability, compliance, and auditability. 
2. From providing answers to executing procedures: The current generation of intelligent assistants can complete transactions, such as checking balances, booking appointments, opening tickets, and implementing procedures through integration with enterprise systems.
3. From voice-only to multi-interface experiences. The future points toward intelligent agents that combine voice conversation with visual interfaces, offering option display, sending confirmations, and visualizing order or transaction status. I expect government entities to lead this shift ahead of the private sector, given their focus on improving service quality and enhancing accessibility. The biggest challenge will not be developing the models themselves, but rather integrating them with legacy systems, ensuring compliance with regulatory frameworks, and measuring their business impact through clear, measurable metrics.

Based on your experience, what are the key challenges facing Arab AI companies today, and what does the sector need to accelerate its growth and enhance competitiveness regionally and internationally? 

Voice AI companies in the region face five main challenges. The first is the limited availability of high-quality voice data, especially for Arabic dialects, which forces companies to build their own database from scratch, ultimately slowing model development. Second, the high cost of graphics processing units (GPUs) and sovereign infrastructure, which imposes financial burdens on local companies.

Third, the scarcity of specialists in deep learning and speech processing technologies. This places regional companies in direct competition with global companies for top-tier talent. Securing finance is the fourth challenge, as model development companies require significant investment before generating revenue. 

Fifth, long procurement cycles and preference for global suppliers, along with the absence of unified Arab references to measure model performance, collectively hinder the expansion of local companies.

To accelerate the sector’s growth, the region needs to:

1. Create common, open Arabic databases and references that support model development.
2. Provide a sovereign computing infrastructure with competitive costs to promote local innovations.
3. Expand the presence of specialized investment funds that understand the nature and cycle of developing AI models.
4. Strengthen regulatory coordination among Gulf countries to reduce the variability of compliance requirements, enabling companies to expand regionally within a unified, more efficient framework.

What are Hamsa’s ambitions for the next few years, either on geographical expansion, launching new products, or establishing partnerships?

Hamsa’s roadmap for the upcoming years is centered on four key pillars. Geographically, we focus on strengthening our presence in Saudi Arabia and the UEA, then expanding into other GCC countries, notably Qatar, Kuwait, and Bahrain. Later, we will enter Morocco before expanding into Europe and the US through our multilingual platform.

At the product level, we are pursuing three strategic tracks: expanding the platform to support over 16 languages while preserving Arabic’s positional excellence; developing intelligent agents that integrate voice capabilities with visual interfaces; and advancing custom voice solutions, advanced analytics, and model fine-tuning tailored to the specific needs of various sectors.

On the compliance and security side, we aim to achieve ISO 27001 certification and transition to SOC 2 Type II compliance, while expanding the deployment of voice agents to web applications, smart kiosks, and other environments where voice-based interaction offers superior efficiency.

Hamsa will continue to forge comprehensive partnerships with infrastructure and digital sovereignty partners, system integrators, and customer experience platforms, thereby accelerating our expansion and ensuring implementation quality.

Our ambition for Hamsa is to become the premier choice for Arabic voice AI and subsequently strengthen its position globally through a multilingual platform.

Translation: Noha Gad

Ghada Ismail

As artificial intelligence becomes increasingly embedded in business, not everything an AI system generates should be taken at face value.

Two concepts often create confusion in this context: synthetic data and AI hallucination. Both involve information generated by AI rather than directly collected from the real world, but their roles could not be more different.

One is a tool that can help businesses overcome data limitations. The other is a reliability problem that can undermine trust in AI systems.

What Is Synthetic Data?

Synthetic data is artificially generated information designed to replicate the characteristics and patterns of real-world data.

Instead of collecting thousands of real customer transactions, for example, a startup could generate synthetic transactions that mimic realistic purchasing behavior. Similarly, an AI developer could create synthetic images, customer profiles or financial scenarios to train and test an AI model.

This can be particularly valuable for startups that lack access to large datasets or operate in areas where data is sensitive.

Synthetic data can help companies reduce data-collection costs, accelerate AI development and limit exposure to sensitive information. It can also allow developers to test AI systems across scenarios that may be difficult or expensive to reproduce in the real world.

However, synthetic data is only useful when it is representative and properly validated. Poor-quality synthetic datasets can reproduce errors, biases or unrealistic patterns.

What Is AI Hallucination?

AI hallucination is something very different.

It occurs when an AI model generates information that sounds convincing but is factually incorrect, unsupported, or completely fabricated.

An AI chatbot, for instance, might invent a statistic, cite a research paper that does not exist, or provide an incorrect explanation with complete confidence.

Hallucinations can occur because generative AI models are designed to predict and generate likely sequences of information. They do not automatically distinguish between what is true and what merely appears plausible.

For businesses, this can become a serious issue. An inaccurate AI-generated answer may be inconvenient in a consumer application but potentially damaging in areas such as financial services, healthcare, legal technology or enterprise decision-making.

Synthetic Data vs AI Hallucination

The simplest way to distinguish the two is intention and purpose.

Synthetic data is deliberately created. AI hallucination is an unintended output.

Synthetic data is generated for a specific purpose, such as training, testing, or simulating scenarios. It can be reviewed, measured, and validated before being used.

Hallucinations, by contrast, emerge during an AI system's operation and need to be detected, corrected, or prevented.

In other words, synthetic data can be an AI development asset, while hallucination is an AI reliability risk.

Why Does This Matter for Startups?

The distinction is especially important for startups building AI products.

Early-stage companies often face limited access to high-quality data. Synthetic data can provide a way to experiment and develop models without relying exclusively on costly or sensitive real-world datasets.

At the same time, startups must ensure that their AI products do not generate unreliable information. A hallucination can quickly erode customer confidence, particularly when an AI product is being used to make business or financial decisions.

Importantly, synthetic data does not automatically cause hallucinations. However, if synthetic datasets are poorly designed or contain unrealistic patterns, they can affect the quality of the models trained on them.

That makes data validation, testing, and human oversight critical throughout the AI development process.

One Is a Tool, the Other Is a Risk

Synthetic data and AI hallucination may both involve AI-generated information, but treating them as interchangeable misses a crucial distinction.

Synthetic data can help startups solve one of AI's biggest challenges: access to useful, scalable, and privacy-conscious data.

Hallucinations represent another challenge: ensuring that AI systems remain accurate and trustworthy.

As businesses move beyond experimenting with AI and begin deploying it in real-world operations, knowing the difference between data that was intentionally generated and information that was unintentionally invented will become increasingly important.

Ghada Ismail

Saudi Arabia’s long-established relationship with precious metals is entering a new digital phase. As financial technology reshapes the way consumers save, invest, and manage wealth, gold is increasingly moving beyond traditional jewelry markets and physical bullion transactions into digital platforms and banking channels.

The emergence of digital gold services is creating a new intersection between fintech, wealth management, and precious-metals markets. Consumers can increasingly purchase gold digitally, track their holdings, automate savings, and, in some cases, convert digital ownership into physical metal. At the same time, the expansion of these services from fintech startups to major Saudi banks suggests that digital precious-metals investing is evolving from a niche proposition into a broader financial-services category.

The concept behind digital gold is relatively straightforward. Instead of requiring consumers to purchase and physically store a gold bar, digital platforms allow them to acquire ownership of gold while managing their holdings through a mobile application or digital banking platform.

This can lower the traditional barriers associated with precious-metals investment, particularly for consumers who may want to build their holdings gradually rather than make a large one-time purchase.

Startups adopting digital gold trading

GrowK is one example of this model in Saudi Arabia. The platform allows users to save in 24-karat digital gold, with automated savings options that can be structured on a daily, weekly, or monthly basis. It also allows users to buy, sell, and monitor their gold holdings digitally.

The significance of such a model goes beyond convenience. By introducing automated and recurring purchases, platforms can transform gold from an asset typically purchased periodically into a digital savings product.

This is where the model begins to resemble fintech.

Rather than simply digitizing the traditional gold-buying process, digital platforms can introduce features that are familiar from modern financial applications, including automated saving, portfolio monitoring, real-time pricing, and fractional ownership.

Banks are validating the model

The development is not limited to startups.

Saudi Arabia’s established banking sector is also incorporating precious metals into its digital financial services, potentially giving the category a much broader consumer reach.

SNB’s Gold Account enables customers to buy and sell investment-grade gold through the bank’s digital channels, including SNB Mobile and AlAhliOnline. The bank states that its gold is 999.9 purity and provides customers with the option of requesting physical gold bars through selected branches.

The model effectively combines digital access with physical ownership. Customers can manage their gold electronically while retaining a pathway to physical bullion.

Al Rajhi Bank’s Gold Wallet follows a similar approach, allowing customers to buy, sell, and store gold digitally while monitoring gold prices and managing their holdings through the bank’s digital ecosystem.

The involvement of major banks is significant because it moves digital gold beyond the realm of specialist investment applications.

When precious metals become integrated into mainstream digital banking, consumers can potentially view gold alongside their other financial products rather than as a separate physical asset requiring a visit to a jeweler or bullion dealer.

The infrastructure opportunity

While consumer-facing applications are attracting attention, another part of the market is developing behind the scenes.

Nexus Global’s Mithqal is designed as infrastructure for banks, fintech companies, wealth managers, and other institutions seeking to offer digital precious-metals products.

The platform provides capabilities related to digital gold accounts, metal wallets, pricing, trading, physical allocation, custody, settlement, and reporting. Its offering also extends beyond gold to other precious metals, including silver and platinum.

This infrastructure layer could become particularly important as demand grows.

Rather than every financial institution building its own technology and operational infrastructure for precious-metals products, platforms such as Mithqal can potentially provide the underlying technology needed to bring these services to market.

This mirrors developments elsewhere in fintech.

Payments infrastructure enabled companies to build digital wallets and payment applications without developing payment rails from scratch. Banking infrastructure has similarly allowed fintech companies to launch financial products without building a complete banking system.

Precious-metals infrastructure could play a comparable role, creating the technological rails for a broader digital bullion ecosystem.

Why gold, and why now?

Saudi Arabia has a particularly strong foundation for this market because gold already occupies an important position in the country’s consumer and investment culture.

The World Gold Council reported that Saudi Arabia’s bar and coin investment demand increased from 15.5 tons in 2024 to 17.5 tons in 2025, representing a 13% increase. Saudi Arabia was also the largest bar and coin investment market in the GCC during 2025.

At the same time, jewelry demand declined. Saudi jewelry consumption fell 10% to 44 tons in 2025, while its value declined 28% to $8.9 billion, according to the World Gold Council.

The shift is important because it suggests that high gold prices may be changing how consumers approach the metal.

Rather than purchasing gold primarily as jewelry, some consumers may increasingly view it through an investment lens.

Digital platforms are well positioned to serve this behavior because they can make smaller purchases more accessible.

The same consumer who may find a large physical gold purchase expensive can potentially accumulate smaller quantities over time.

Silver could expand the opportunity

Gold is likely to remain the primary asset in the digital precious-metals market, but silver could provide the next stage of growth.

Silver has a different investment profile from gold. Alongside its role as a precious metal, it has significant industrial applications, including electronics, solar technology, and manufacturing.

That gives digital platforms an opportunity to move beyond single-asset products toward multi-metal investment portfolios.

A consumer could eventually use one application to allocate a monthly amount between gold and silver, monitor the performance of both assets, and potentially redeem holdings physically.

This would represent a significant evolution from the concept of a digital gold wallet.

It would become a digital precious-metals portfolio, combining the accessibility of fintech with the characteristics of physical commodities.

Trust will determine the winners

Despite the opportunity, digital precious-metals platforms face a fundamental challenge, which is trust.

When a customer sees one gram of gold displayed in an application, they need to know exactly what that balance represents.

Is the gold physically allocated? Where is it stored? Who is responsible for custody? Is the inventory independently verified? Can the customer redeem the gold? What are the transaction spreads, storage fees, and withdrawal costs?

These questions become particularly important as the market expands beyond established banks and into startups and specialist platforms.

Regulatory clarity will also matter.

The distinction between a platform facilitating the purchase and custody of physical precious metals and one offering investment products or regulated capital-market activities can be significant.

For companies operating in this space, regulatory compliance could therefore become a competitive advantage rather than simply a legal requirement.

The strongest platforms will likely be those that combine technology with transparent ownership structures, credible custody arrangements, clear pricing, robust compliance, and reliable physical redemption mechanisms.

Is digital gold the new fintech?

The answer depends on how “new fintech” is defined.

Digital precious metals are unlikely to replace the established pillars of Saudi fintech, such as payments, lending, insurance, and financial infrastructure.

But they could represent something equally important: the next stage of Saudi wealthtech.

The Kingdom’s fintech market is gradually moving beyond simply making financial transactions digital toward helping consumers save, invest, and manage their wealth through technology.

Gold provides an unusual advantage in this transition.

Unlike many emerging financial products, it does not require consumers to understand an entirely new asset. Gold is already familiar. The innovation lies in changing how consumers access, accumulate, manage, and potentially redeem it.

The four Saudi examples illustrate the different layers of this emerging ecosystem. Together, they suggest that digital precious metals are developing into something broader than a collection of investment apps.

The next opportunity could be the creation of a fully integrated digital commodities ecosystem in which consumers can save in gold, diversify into silver, automate purchases, monitor portfolios, and access physical assets through a single digital experience.

For Saudi Arabia, the opportunity is particularly compelling because the digital future is being built around an asset with a very long history.

Gold may be one of the oldest stores of wealth, but the way Saudi consumers own it could be entering a distinctly digital era.

Noha Gad

Hostile takeovers are one of the most dramatic forms of corporate conflict in the high-stakes world of mergers and acquisitions (M&A). It occurs when an acquirer attempts to gain control of a target company without the approval of its board of directors, often by making a direct offer to shareholders or launching a proxy fight to replace management. 

To face this pressure, target companies deploy a range of defensive tactics designed to raise the cost of acquisition, reduce the attractiveness of the bid, or find a more favorable alternative. White knight defense is one of the most constructive tactics that allows the target to accept the reality of a change in control while steering the outcome toward a more acceptable buyer, better terms, and greater continuity for management and operations.

How does a white knight defense strategy work?

A white knight defense is a takeover defense strategy in which a target company, facing a hostile bid, seeks out a friendly third-party acquirer and invites or encourages it to make a competing offer, thereby providing an alternative to the hostile bidder. This friendly buyer, or the white knight, is invited or encouraged by the target’s board to acquire the company on more favorable terms than the hostile bidder, often referred to as the “black knight.”

This strategy protects the target's management and often provides better compensation for shareholders, preventing control from passing to an unfriendly bidder.

How does it work?

1. The target company seeks another acquirer to stave off the unfriendly acquirer, who is typically called the black knight.
2. The white knight makes an offer to purchase the target, usually at a premium to the hostile acquirer's bid or with more favorable terms amenable to the target's shareholders, management, and/or board of directors.
3. Once the acquisition is complete, the white knight may choose to keep the target's management and/or board rather than replace one or both. The white knight may also choose to keep the target's business operations as is after the deal goes through.

Black, gray, and yellow knights

Along with the white knight, there are different types of so-called knights in the business world. The most common ones are: 

• Black knight. This type makes an unsolicited, hostile bid for its target. This entity does whatever it can to complete the transaction, even going over the target's board of directors. The target company does not want to be taken over by the black knights because of their selfish motivations.
• Gray knight. A gray knight is not as desirable as a white knight, but it is more desirable than a black knight. The gray knight is the third potential bidder in a hostile takeover who outbids the white knight. Although friendlier than a black knight, the gray knight still seeks to serve its interests.
• Yellow knight. A yellow knight is a company that planned a hostile takeover attempt, but backs out of it and instead proposes a merger of equals with the target company.

Advantages of a white knight defense strategy

The white knight defense offers several strategic benefits for target companies, their boards, and shareholders when facing hostile takeover pressure. This includes:

• Higher shareholder value. White knights typically offer better terms than hostile bidders, including higher premiums per share, more favorable payment structures, or clearer timelines for closing the deal. 
•  Preservation of management and strategic direction. Unlike hostile takeovers, which often lead to immediate leadership changes and strategic overhauls, white knight acquisitions usually retain existing management teams. The friendly acquirer typically shares the target's vision for the company's future, allowing for continuity in strategic plans and reducing uncertainty among employees and stakeholders. 
• Deal certainty and reduced transaction risk. White knight transactions are negotiated with the target's board and typically come with secured financing, transparent timelines, and clear post-merger agreements. This reduces uncertainty for all stakeholders compared to the protracted legal battles and defensive maneuvers that hostile takeovers often entail.

Despite these advantages, the white knight defense is not without significant risks and limitations, such as:

• Loss of independence. While a white knight takeover is preferable to a hostile one, it still results in the abrupt transfer of ownership to a third party. The target company becomes part of a larger entity, and its autonomy in decision-making is inevitably reduced.
• Overpayment and financial leverage risks. To outbid the hostile acquirer, white knights may overpay for the target company, leading to inflated acquisition premiums. This can result in excessive leverage for the acquiring company, which may create financial strain down the line and potentially undermine the long-term value of the combined entity. 
• Limited negotiation options and time constraints. Once a white knight is engaged, the target company may have limited options to negotiate with other potential buyers. The urgency of responding to a hostile bid often means there is insufficient time for thorough due diligence or comprehensive negotiation of terms. 

Finally, the white knight defense is less about avoiding a takeover and more about controlling its terms. By inviting a friendly acquirer, the target company can secure a higher price for shareholders, preserve management and strategic direction, and reduce the uncertainty that comes with hostile bids. However, this comes at the cost of independence and may involve rushed decisions, overpayment, and limited negotiation room. 

Noha Gad

The e-commerce landscape in Saudi Arabia is experiencing unprecedented growth, solidifying the Kingdom's position as the largest and most dynamic digital marketplace in the region. According to a recent report from BMI, a FitchSolutions company, household spending in the Kingdom will grow by a real 3.3% year-on-year (YoY) in 2026, a slight decline from 3.4% in 2025. The report anticipated household spending growth to accelerate slightly to 3.7% YoY in 2027, taking real spending to 39.4% above pre-COVID-19 pandemic levels. This growth is driven by digital acceleration that reshapes consumer expectations, shifting the focus from mere access to products towards a demand for efficiency, transparency, reliability, and a superior overall user experience.

Within this dynamic and competitive landscape, Kanaa, a Saudi-born digital e-commerce platform, officially launched in the Kingdom in April 2026, introducing a curated commerce model designed to simplify product discovery while maintaining high standards of quality and trust. 

Sharikat Mubasher held an exclusive interview with Kartik Bhatt, CEO of Kanaa, to dive deep into the company’s business model, strategy, and technology, as well as its ambitions to expand and strengthen its presence across the Kingdom.

Kanaa officially launched in Saudi Arabia in April, introducing a curated commerce model to simplify product discovery while maintaining quality and trust. Can you tell us more about this model and what sets Kanaa apart from established marketplaces and specialty omni-retailers?

Saudi Arabia's e-commerce market has matured significantly over the past few years. Customers already have access to millions of products, fast delivery, and seamless payment options. However, all of that came with a lot of noise from endless choices, inconsistent content, bad reviews, and unpredictable service. This has made most customers insecure about whether they are making the right purchasing decision or not. They may feel that they are not getting the best deal, service, or product.

That is the thinking behind Kanaa's curated commerce model. We focus on offering the right products, presented with reliable information and backed by a consistent customer experience. Every product is carefully selected, supported with quality content and held to the same standards for pricing, fulfilment, and service.

Our model combines our own retail assortment, direct partnerships with leading brands, exclusive product collections, and a carefully managed marketplace. Each plays a specific role, but together they create a shopping experience customers can trust.

Today, our focus is on families, children, youth, and modern Saudi consumers across toys, books, gaming, hobbies, and lifestyle categories, with additional categories planned as we continue to grow.

Since launching in November 2025, we have achieved 44-fold growth in sales and a 30-fold increase in order volume. Those results confirm that we are solving a real customer need. Customers are not just looking for more products. They also need real confidence in what they are buying and where they are buying it from.

How does Kanaa plan to implement its strategy that is centered on curated selection, operational efficiency, and customer trust?

As I mentioned earlier, curation is only one part of the equation. Delivering a great customer experience depends just as much on how consistently you execute behind the scenes.

We start with the assortment itself, making sure every category has a clear purpose: everyday essentials, seasonal collections, exclusive partnerships, or marketplace offerings. Every category earns its place, and we are careful not to let the catalogue grow just for the sake of it.

Operational excellence is equally important. Customers remember whether an item was in stock, whether it arrived on time, and how quickly an issue was resolved. That is why we have invested heavily in inventory accuracy, delivery performance, returns management, and customer support. Today, we provide same-day delivery in Jeddah, are expanding that capability in Riyadh, and consistently deliver more than 98% of orders on time.

Technology underpins every stage of that experience, from search and stock visibility to personalized recommendations and a seamless checkout process. At the same time, we continue to build customer trust through transparent product information, clear policies, and responsive service.

Sales growth and traffic matter, but repeat purchases, customer loyalty, and our ability to build lasting relationships are what tell us this is actually working.

Does Kanaa integrate AI and machine learning into its business model — for search and discovery, fraud detection, pricing optimization, or logistics planning?

Absolutely. AI is already an important part of how we operate, especially in helping customers discover the right products more conveniently.

For example, a parent looking for a suitable gift or a teenager searching for gaming accessories rarely use precise search keywords. It is mostly broad categories, brand variations, use case-related keywords, etc. AI allows us to better understand customer intent and provide recommendations that feel more relevant and personalized, much like the guidance customers receive from an experienced sales advisor in a physical store.

Behind the scenes, we are also applying AI across demand forecasting, fraud detection, catalogue quality management and returns analysis. As the business grows, we will continue expanding its use across pricing optimization and logistics planning.

The real opportunity is the insights that come with connecting such capabilities. When demand shifts around a product, season, or occasion, AI can help us respond more quickly by improving inventory planning, product content, and stock allocation. That is what supports our next phase of growth, including marketplace expansion, new strategic partnerships, and our planned entry into the UAE.

A recent study conducted by Visa showed that 91% of consumers in Saudi Arabia embrace AI as part of their shopping journey. In your opinion, how do AI technologies revolutionise the shopping experience in the Kingdom?

These findings mirror current market behavior. Saudi Arabia is home to some of the most tech-forward shoppers globally, and they have already outgrown traditional e-commerce. They expect platforms to understand context and intent, bringing a level of personalization that standard catalog search simply cannot deliver 
AI helps deliver that in a few ways. It simplifies product discovery by understanding what customers are actually looking for rather than relying only on keywords. It also personalizes the experience, recognizing that someone shopping for children's toys has very different needs from someone looking for gaming products or gifts. Just as importantly, AI strengthens the experience in ways customers may not always notice directly. It improves product information, helps detect fraud more effectively, and enables faster customer service, all of which contribute to a smoother, more reliable shopping journey.

For years, online shopping missed something obvious: that helpful salesperson in the store who actually gets what you are looking for. AI finally lets us bring that human touch online, in both Arabic and English, at scale. We are not interested in AI hype for the sake of it; for us at Kanaa, it is just about making shopping easier, faster, and genuinely helpful.

What strategic partnerships are you pursuing to accelerate growth and enhance customer experience?

No platform succeeds in isolation. Our model is built entirely on smart partnerships. We deliberately chose not to build a bloated, open marketplace with lots of unverified sellers. We curate our brand and retail partners strictly because customers deserve reliable quality and pricing, not endless scrolling through questionable listings.

We take the same approach across the board. We are partnering with AI leaders to strengthen discovery, personalization, and fraud prevention capabilities that would take years to build in-house at the same quality. Logistics and last-mile partners are just as critical as merchandising ones. A platform can win a customer through marketing, but it keeps them through delivery and service.

We are also building relationships beyond conventional commerce, with schools, malls, creators and family-focused communities, because category education and gifting inspiration matter almost as much as the transaction itself. 

What are Kanaa's plans to expand its footprint within and beyond Saudi Arabia, driven by its mission to shape the next phase of e-commerce growth? What regional or international markets do you target next?

Our priority right now is the Kingdom. We want real depth here before we look anywhere else, which means strengthening our category leadership and continuing to invest in technology, fulfillment, and data. 

We still see significant demand across Saudi families, youth, and digitally native consumers who want a platform that understands their language, occasions, and service expectations.

Looking beyond the Kingdom, the GCC is the natural next step. UAE, Kuwait, Qatar, Bahrain, and Oman all share the digital adoption and purchasing power that fit our model, and our current plan is to enter the UAE in 2026.

We would rather take a Saudi-born platform to the region once we have proven it here than expand early and lose what makes Kanaa trusted in the first place.

As a seasoned leader with more than 20 years of experience scaling large-format retail and e-commerce businesses, how do you assess Saudi Arabia's e-commerce sector? What does the sector need over the coming years to continue growing?

Saudi Arabia's e-commerce sector has made remarkable progress over the past decade. The industry successfully addressed the fundamentals by expanding product availability, strengthening logistics, and giving consumers the confidence to shop online. That created strong and sustained growth across the market. I have watched a few markets go through this same shift, and Saudi Arabia is moving through it faster than most.

The next phase is really about the quality of the customer experience. Promotions and discounts can generate short-term sales, but long-term success depends on service reliability, customer retention, strong category expertise, and sustainable growth.

I also believe the industry has an opportunity to invest more in merchandise planning and product content, so customers get relevant assortments, accurate information, and a better overall shopping experience.

Finally, the sector needs to become even more locally relevant. That means reflecting Saudi shopping habits, family occasions, gifting traditions, and Arabic-first customer experiences in a more meaningful way. That is the shift I would tell any new entrant to prepare for.

Ultimately, I believe the companies that succeed over the coming years will be those that consistently earn customer trust through every interaction rather than those that offer the largest catalogue.

Ghada Ismail

Imagine a startup that has been around for six years; it has an office, a team of employees, and a product with a loyal customer base. Every few months, it announces a new feature. Every year, it raises just enough funding to keep operating.

At first glance, everything seems fine, but behind the scenes, revenue hasn't grown in years. Investors have stopped asking about the next funding round. The founders spend more time extending the company's runway than planning its future. The dream of becoming the next unicorn has quietly been replaced by a much simpler goal: surviving another quarter.

The startup isn't thriving, but it isn't dead either; this is what economists call a Zombie Startup.

What Is a Zombie Startup?

A zombie startup is a company that continues operating despite losing its growth trajectory. It generates enough revenue—or raises just enough funding—to cover expenses, but not enough to scale, attract major investors, or become a market leader.

Think of it as a car with the engine running but stuck in traffic. It's still moving, but it's not getting any closer to its destination.

Unlike a failed startup, a zombie startup hasn't shut down. Customers still use its product, employees still come to work, and the founders haven't given up. The problem is that the business has become trapped in survival mode. Growth has stalled, innovation has slowed, and every decision is focused on staying alive rather than moving forward.

How Does a Startup Become a Zombie?

Zombie startups rarely appear overnight. Instead, they gradually lose momentum.

One common reason is weak product-market fit. The product solves a problem, but not one that enough customers are willing to pay for. As demand slows, so does growth.

Scaling too early is another frequent mistake. Hiring aggressively, expanding into new markets, or overspending on marketing before validating the business model can quickly drain cash.

Competition can also take its toll. Larger rivals often have stronger brands, deeper pockets, and more resources to improve their products, making it difficult for smaller startups to keep pace.

Sometimes, however, the biggest obstacle is emotional. Founders become deeply attached to the company they've built. Rather than making difficult decisions—such as pivoting, downsizing, or even shutting down—they continue operating in the hope that things will eventually improve.

Warning Signs You Shouldn't Ignore

Zombie startups don't suddenly stop growing. Their decline is usually slow, making it easy to mistake stagnation for stability.

Some of the most common warning signs include:

• Revenue has remained flat for an extended period.
• Customer acquisition has slowed significantly.
• The company relies on small funding rounds just to survive.
• Product innovation has stalled.
• Talented employees begin leaving.
• There is no clear path to profitability or long-term growth.

Not every startup experiencing these challenges is a zombie. Markets fluctuate, fundraising becomes difficult, and even successful companies go through slow periods. The difference is persistence. If these issues continue year after year without meaningful progress, the startup may have entered survival mode.

Can a Zombie Startup Recover?

The answer is yes, but only if founders are willing to make difficult decisions.

Some startups regain momentum by pivoting to a different market or narrowing their focus to a customer segment where they have a stronger competitive advantage. Others recover by cutting unnecessary costs, simplifying their products, or building a more sustainable business instead of chasing rapid growth.

Of course, not every company can be saved. Sometimes the smartest decision is to close the business and apply the lessons learned to the next venture. Many successful entrepreneurs have built their greatest companies only after walking away from one that wasn't working.

Ultimately, entrepreneurship isn't about keeping a startup alive at all costs. It's about building a company that creates value and continues to grow. Recognizing the signs of a zombie startup early gives founders the best chance of changing course before survival becomes the company's only achievement.

Because in the startup world, staying alive isn't the same as moving forward.

Noha Gad

Investors and advisors often evaluate opportunities through multiple aspects: capital appreciation, total return, tax effects, and, crucially, cash flow. Cash-on-cash return (CoC) isolates the cash dimension of an investment by measuring the annual pre-tax cash income relative to the actual cash outlay required to acquire and prepare the asset. This focus on realized cash yield makes CoC an essential metric for income-oriented strategies, portfolio liquidity planning, and financing comparisons.

Unlike valuation-based metrics that ignore financing, CoC reflects the combined effect of operating performance and debt service, revealing how leverage and funding costs alter an investor’s immediate cash experience. It is simple enough for quick screening yet informative when paired with deeper analysis, helping to identify properties that deliver steady distributable income versus those that rely primarily on future price appreciation.

What is cash-on-cash return (CoC) and how does it impact real estate investments?

The cash-on-cash return is a straightforward metric that measures the annual return on cash invested in real estate, particularly commercial properties. Unlike standard return on investment (ROI), it focuses solely on the cash invested, offering clearer insight into an investment's performance, especially for properties with long-term debt. This calculation is pivotal in assessing potential cash distributions and understanding the effectiveness of a property investment strategy.

Calculations based on standard ROI take into account the total return on an investment. Meanwhile, Cash-on-cash return only measures the return on the actual cash invested, providing a more accurate analysis of the investment's performance.

CoC is calculated using an investment property's pre-tax cash inflows received by the investor and the pre-tax outflows paid by the investor. Essentially, it divides the net cash flow by the total cash invested.

By capturing the cash-generating performance of an investment in a single, easy-to-understand ratio, CoC has significant importance in:

• Reflecting financing effects. By using pre-tax cash flow after debt service, CoC reveals how leverage, interest rates, and loan terms change an investor’s cash position. Two properties with similar operating income can produce very different CoC outcomes depending on financing structure.
• Comparing multiple deals. CoC is quick to compute and useful for comparing multiple deals on a cash-yield basis during early-stage screening. It helps prioritize opportunities for deeper due diligence.
• Supporting liquidity and cash planning. For income-focused strategies and investors with near-term cash requirements, CoC helps forecast actual cash available for reinvestment or distribution.
• Early expectations. This metric provided an intuitive number for presenting expected annual cash returns to partners, lenders, or investors, aiding transparency in deal memos and investor presentations.

CoC is useful as a quick cash-flow snapshot, but it can easily mislead investors if they treat it as a complete measure of performance, as it has many pain points:

• Ignoring taxes. CoC return is calculated before tax, so it does not show the investor’s true net outcome. This can make an investment look stronger than it really is, especially in markets where taxes materially affect returns. 
• Missing long-term value growth. The metric focuses only on annual cash flow and does not account for property appreciation, principal paydown, or exit profits. Thus, it can undervalue investments that build wealth over time rather than producing immediate cash.
• Excluding time value of money. CoC treats all cash as equal, whether it is received now or later. This makes it less suitable for comparing investments with different holding periods or delayed payback profiles.
• High sensitivity to assumptions. Small changes in rent, vacancy, operating expenses, or financing terms can change the result significantly. If the inputs are overly optimistic, the return figure can give a false sense of confidence.

Finally, cash-on-cash return is a valuable metric because it shows how much actual cash an investment generates relative to the cash an investor puts in. It is especially useful for evaluating leveraged real estate deals, comparing opportunities quickly, and understanding how financing affects short-term performance. However, it must be treated as one part of a broader investment analysis, not the final answer, as it excludes taxes, long-term appreciation, time value of money, and many risk factors.

For this reason, the most effective approach is to use CoC alongside other measures such as cap rate, IRR, and stress-tested cash flow assumptions. This gives investors a clearer view of both immediate income potential and long-term investment quality.

Mohamed Ramzy

Egypt's fintech sector is undergoing a period of rapid transformation, driven by the expansion of digital transformation, growing adoption of non-banking financial services, and continuous improvements to the regulatory landscape. These developments have enabled startups to introduce increasingly innovative solutions that address the evolving needs of both consumers and businesses.

Amid these changes, competition among fintech companies is no longer limited to offering payment or financing services. It has expanded to include the use of artificial intelligence and data analytics to build integrated financial platforms that deliver more seamless and personalized user experiences.

Klivvr is one of the companies embracing this shift. In a relatively short period, it has evolved from a digital financial services platform into a comprehensive financial ecosystem that combines payments, consumer finance, cards, and intelligent financial services, with technology serving as the primary driver of its growth.

In this interview, Sharikat Mubasher spoke to Omar Sherif, Co-founder and Chief Technology Officer of Klivvr, who discussed the company's growth trajectory, the role of artificial intelligence in shaping its products, the impact of support from Orascom Financial Holding, as well as his outlook on the future of fintech and Klivvr's expansion plans.

Klivvr has grown rapidly in a short period. How would you assess the company's performance today?

Since launching Klivvr, our objective has been to build a customer base driven by genuine engagement rather than simply increasing the number of registered users. We have focused on developing services that make the app an essential part of customers' everyday financial lives, and that strategy has clearly translated into strong usage metrics.

Today, the platform serves more than 700,000 users, including approximately 250,000 monthly active users, while around 25,000 customers use the app every day. We consider these figures far more meaningful than the total number of registered users because they reflect the extent to which customers rely on the platform for their daily financial transactions.

Going forward, we will continue expanding our user base while enhancing our services, all while maintaining the high-quality user experience that defines Klivvr.

Klivvr is backed by Orascom Financial Holding. How has this support accelerated the company's growth?

Being part of Orascom Financial Holding, together with the involvement of Onsi Sawiris as a co-founder, has added tremendous value to Klivvr since its inception. This goes beyond strengthening customer confidence; it has also provided us with invaluable strategic business expertise.

His continued participation in discussing the company's strategy, combined with his extensive network, has helped accelerate our growth and opened up new opportunities for Klivvr.

We see this relationship as much more than a financial investment. It is a genuine strategic partnership that actively contributes to building and developing the company.

Klivvr aims to build a fully integrated financial platform. How have the company's services evolved?

From the outset, our vision was never to offer a single service, whether in payments or financing. Instead, we set out to build a comprehensive financial ecosystem that addresses customers' diverse financial needs through one application.

The launch of our payment cards marked an important milestone in driving daily engagement with the platform. The cards now serve as a payment tool alongside our consumer finance services, enabling users to manage a significant portion of their financial activities within a single platform.

We are also preparing to launch a new feature that will allow customers to access their approved consumer finance credit limit directly through their cards, once we receive the necessary regulatory approvals.

Artificial intelligence has become a major focus across the fintech industry. How is Klivvr leveraging AI?

Artificial intelligence is now one of our top investment priorities because it has become a fundamental component of financial services improvement and customer experience enhancement.

We use AI technologies to deliver a more personalized experience for every user by analyzing financial behavior and recommending products and offers that best match individual needs.

AI also plays a key role in assessing creditworthiness and managing risk, helping us make better financing decisions while reducing default rates. In addition, these technologies support our internal teams by improving operational efficiency and accelerating product development.

From our perspective, artificial intelligence will become the cornerstone of the fintech industry over the coming years because of its ability to enhance efficiency while delivering faster, smarter, and more accurate financial services.

How do you view the growth opportunities in the Egyptian market?

The Egyptian market remains our largest growth opportunity. We believe the fintech sector is still in its early stages, and there are broad customer segments that have yet to benefit fully from digital financial services.

That is why we have invested heavily in building a robust technology infrastructure that enables us to scale quickly and efficiently within Egypt, while continuously developing products and services that meet customers' evolving needs.

What about Klivvr's plans to expand beyond Egypt?

Regional expansion is certainly part of our long-term strategy, but it is not our immediate priority. For now, our focus remains on achieving our objectives within the Egyptian market.

When we decide to enter new markets, expansion will not be pursued for its own sake. Instead, we will adopt the model that creates the greatest value, whether through organic growth, strategic partnerships, or acquisitions, depending on the characteristics of each market and the opportunities it presents.

How do you see Klivvr's future as the fintech industry continues to evolve rapidly?

Over the coming period, we will continue investing in technology and product innovation while expanding our customer base and strengthening our position in the Egyptian market.

We firmly believe that the future of financial services will be increasingly driven by data and artificial intelligence. That is why we continue investing in these technologies to deliver smarter, more efficient, and more user-friendly solutions that enhance the customer experience and support Klivvr's long-term growth.

Translation by: Ghada Ismail

Ghada Ismail

A decade ago, artificial intelligence was largely viewed as a futuristic technology discussed in research laboratories and Silicon Valley boardrooms. Today, it writes code, detects diseases, powers government services, personalizes shopping experiences, and helps businesses make decisions in seconds. AI has rapidly evolved from a niche innovation into a transformative force that is reshaping industries and economies across the globe.

Every year on 16 July, Artificial Intelligence Appreciation Day celebrates these technological advances and the people driving them forward. Yet for Saudi Arabia, the occasion represents something even more significant. It is an opportunity to reflect on how artificial intelligence has become a central pillar of the Kingdom's economic transformation, driving innovation, attracting global investment, and creating entirely new industries under Vision 2030.

Rather than simply adopting AI technologies developed elsewhere, Saudi Arabia has pursued a far more ambitious goal: building an ecosystem where artificial intelligence can be developed, governed and commercialized at scale. In just a few years, the Kingdom has laid the foundations for an AI-powered economy through national strategies, digital infrastructure, talent development and partnerships with some of the world's leading technology companies.

From Vision 2030 to an AI Economy

Saudi Arabia's AI ambitions are rooted in Vision 2030, the national blueprint launched to diversify the economy beyond oil and position innovation at the heart of future growth. While digital transformation has long been a priority, artificial intelligence has evolved into one of the Kingdom's most strategic investments, underpinning everything from government services and healthcare to finance, manufacturing, and education.

A defining milestone came in 2019 with the establishment of the Saudi Data and Artificial Intelligence Authority (SDAIA), which was tasked with leading the Kingdom's AI and data agenda. The following year, the launch of the National Strategy for Data and AI (NSDAI) provided a comprehensive roadmap for developing AI capabilities, attracting investment, fostering innovation and creating a globally competitive digital economy.

Since then, Saudi Arabia has consistently demonstrated that AI is not merely a technology initiative but a national development strategy. The Kingdom has introduced policies to encourage innovation, developed governance frameworks for the responsible use of AI and invested heavily in the digital infrastructure needed to support increasingly sophisticated technologies.

This long-term commitment has translated into measurable international recognition. Saudi Arabia ranked first globally in the Government Strategy pillar of Tortoise Media's Global AI Index, an assessment that measures the strength of national AI policies, governance structures, public investment, and implementation. The ranking reflects more than ambitious targets. It recognizes the Kingdom's establishment of SDAIA, the rollout of the National Strategy for Data and AI, dedicated AI governance frameworks, sustained investment in digital infrastructure, and coordinated efforts to embed AI across government and industry. Together, these initiatives have positioned Saudi Arabia among the world's most proactive governments in developing a national AI ecosystem.

Saudi Arabia's AI by the Numbers

The scale of Saudi Arabia's ambitions is reflected in both its investments and expected economic impact. According to PwC, artificial intelligence is projected to contribute US$135.2 billion to the Kingdom's economy by 2030, equivalent to approximately 12.4% of GDP, making it the highest projected AI-driven economic contribution among Middle Eastern economies and one of the highest globally. Since establishing the Saudi Data and Artificial Intelligence Authority (SDAIA) in 2019, the Kingdom has launched the National Strategy for Data and AI (NSDAI), introduced the Arabic large language model ALLAM, established HUMAIN to accelerate AI infrastructure and innovation, and expanded AI applications across healthcare, finance, education, logistics, manufacturing, and government services. Alongside these initiatives, Saudi Arabia has introduced AI ethics principles and governance frameworks, demonstrating that its AI agenda extends well beyond technology adoption to encompass policy, talent development, infrastructure, and long-term economic transformation.

Saudi Startups Are Driving the Next Wave

Government initiatives may have laid the foundation, but Saudi Arabia's startup ecosystem is increasingly becoming one of the strongest drivers of AI innovation.

A growing number of startups are demonstrating that the Kingdom is moving beyond AI adoption to AI creation. Rather than simply integrating off-the-shelf technologies, these companies are developing solutions tailored to regional markets and real business challenges.

Mozn has emerged as one of Saudi Arabia's leading AI companies, using machine learning to combat financial crime, strengthen compliance and support smarter risk management for financial institutions. Lucidya has built one of the region's most advanced AI-powered customer intelligence platforms, helping businesses analyze Arabic-language conversations across social media and digital channels to better understand consumer behavior.

Meanwhile, Intelmatix is applying artificial intelligence to enterprise decision-making, enabling organizations to optimize operations and improve strategic planning through predictive analytics. Companies such as Salla and Zid are also embedding AI into e-commerce platforms, while startups across healthcare, logistics, cybersecurity and retail continue introducing AI-powered products designed specifically for regional markets.

The Next Frontier Is Trust

As artificial intelligence becomes increasingly sophisticated, experts believe the next stage of AI adoption will depend less on algorithms themselves and more on the quality, security, and resilience of the data that powers them.

According to Tim Pfaelzer, Senior Vice President and General Manager for EMEA at Veeam, organizations are entering what he describes as the "agentic era," where AI systems are evolving beyond simple assistants into autonomous digital workers capable of making decisions and performing tasks with minimal human intervention.

"AI is revolutionizing how organizations unlock value from their data, providing instantaneous insights and uncovering opportunities that were previously out of reach," Pfaelzer says.

He believes this shift is fundamentally changing how businesses operate.

"These agents are becoming autonomous, 24/7 digital workforces, scaling productivity and accelerating decision-making."

The scale of investment reflects this growing confidence. According to Pfaelzer, hyperscale technology companies have collectively invested more than US$650 billion to build the infrastructure supporting the next generation of AI innovation. At the enterprise level, adoption is accelerating rapidly, with 88% of organizations already piloting AI agents across their technology environments.

Yet despite this enthusiasm, readiness remains a significant challenge.

According to Veeam's research, only around 7% of organizations currently possess the foundational capabilities required to be genuinely AI-ready.

For Pfaelzer, the problem is not artificial intelligence itself—it is the quality of the data feeding these systems.

"The lack of visibility into data can cause AI models and agents to act on incomplete, outdated or inaccurate information, leading to unreliable outcomes at machine speed."

To address this challenge, Pfaelzer argues that organizations must establish what he describes as a "trust layer" built on complete data visibility, governance and resilience.

"By ensuring AI agents are powered by secure, accurate and readily recoverable data, businesses can unlock AI's full potential without allowing it to become their Achilles' heel."

For Saudi Arabia, this approach aligns closely with its broader AI strategy, which emphasizes responsible innovation alongside rapid technological advancement. As the Kingdom continues expanding AI adoption, building trustworthy and resilient data ecosystems may prove just as important as developing increasingly powerful AI models.

Celebrating Progress While Preparing for the Future

Artificial Intelligence Appreciation Day is often viewed as a celebration of technological breakthroughs. Saudi Arabia's story offers a broader and more compelling perspective.

The Kingdom's AI journey demonstrates that meaningful progress requires far more than sophisticated algorithms or headline-grabbing investments. It depends on long-term national planning, modern digital infrastructure, responsible governance, strategic partnerships and, above all, people capable of transforming innovation into real economic and social value.

Over the past several years, Saudi Arabia has methodically laid these foundations. Through Vision 2030, it has established national AI strategies, built world-class infrastructure, nurtured a vibrant startup ecosystem, attracted global technology leaders and accelerated AI adoption across sectors that directly affect the lives of millions of people.

The next phase of this journey will likely be defined not by the size of AI models or the speed of technological breakthroughs, but by how effectively artificial intelligence improves productivity, enhances public services, empowers businesses, and creates sustainable economic growth.

As the world marks Artificial Intelligence Appreciation Day, Saudi Arabia is celebrating more than the rise of a transformative technology. It is celebrating the emergence of an AI ecosystem built with a long-term vision; one that is positioning the Kingdom not simply to participate in the global AI revolution, but to help shape its future.