Larger Investments Drive UAE Venture Capital Growth In Q1 2026

Rising Capital Amid Declining Deal Volume

The UAE venture capital market recorded $419 million in funding during the first quarter of 2026, a 47% increase compared with the same period a year earlier. At the same time, deal activity declined, with 37 transactions completed during the quarter, down 45% year-on-year.

Concentration Over Expansion

The increase in funding came despite a lower number of deals. Data indicate that a smaller number of companies attracted a larger share of total investment capital, while investors continued to focus on businesses with established growth metrics and scalable business models.

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International Investors At The Forefront

International participation remained a notable feature of the UAE venture capital market. During Q1 2026, 47% of the 73 active investors were based outside the region. The figures highlight the role of the UAE in attracting cross-border investment and connecting regional companies with international capital.

Emerging Sector Trends

FinTech remained the leading sector by deal volume during the quarter, supported by activity across payments and lending services. Real Estate attracted the largest share of capital investment, reflecting continued interest in proptech companies and the broader property market. Gaming recorded one of the strongest increases in deal activity, with transactions rising by 300% compared with the same period a year earlier.

Looking Ahead: Market Maturation

The Q1 2026 data point to changing investment patterns across the UAE venture capital market. Funding activity became increasingly concentrated in a smaller number of companies, while international investors continued to play a significant role in the ecosystem. Additional details on sector performance and investor activity are available in the full MAGNiTT report.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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