Key Takeaways
- • Model ML, an agentic AI platform purpose-built to automate document-heavy finance work such as pitch books, investment memos and financial models, opened its first Middle East office in Dubai at the end of October 2026.
- • The company has raised more than $100 million and counts HSBC, Santander, PwC and Deloitte among its customers, according to the interview.
- • Gulf clients already include an Abu Dhabi sovereign wealth fund and the investment bank Awad Capital, per the company.
- • Model ML plans to serve banks, sovereign wealth funds and family offices across the GCC, with growth driven largely by localizing existing global relationships and word-of-mouth adoption.
- • Company executives argue human judgement remains essential in the investment process, with AI absorbing document creation, analysis and first-draft work.
Summary
Model ML, a vertical AI harness for finance, has opened its first Middle East office in Dubai and is targeting banks, sovereign wealth funds and family offices across the Gulf Cooperation Council. According to the company, the firm has raised more than $100 million and counts HSBC, Santander, PwC and Deloitte among its customers. Its Gulf clients already include an Abu Dhabi sovereign wealth fund and the investment bank Awad Capital.
In an interview with The Recursive co-founder Etien Yovchev at the Dubai FinTech Summit, held on 2 and 3 November, Strategic Account Executive for MENA Ajinkya Patwardhan described the GCC as a market at the forefront of AI adoption, with strong interest in enterprise use cases that meet requirements around information security, data residency and workforce productivity. He said organisations in the region are willing to run pilot programmes inside banks and consulting firms, and that AI fluency is high among power users.
Patwardhan said the market has moved from experimentation to operational use over the past one to two years. He attributed the shift to proven utility, improved economics of AI and stronger open-weight models, as well as growing recognition that a specialist vertical product outperforms a general-purpose model. Model ML positions its product as more effective than general LLMs for finance tasks such as building LBO and DCF models, drafting investment memoranda and reviewing third-party fund prospectuses.
On the role of human investors, Patwardhan said AI is already handling end-to-end workflows such as pitch books and confidential information memorandums, but that human judgement, sector expertise and market relationships remain necessary. He cited the limits of agents in areas such as calling a banker for on-the-ground insight.
For the MENA go-to-market strategy, Patwardhan said the company will localise relationships built globally, extend services to local banks, sovereigns and asset managers, and rely on word of mouth and conference participation. He noted that the company is live with three of the Big Four accounting firms.
In an interview with The Recursive co-founder Etien Yovchev at the Dubai FinTech Summit, held on 2 and 3 November, Strategic Account Executive for MENA Ajinkya Patwardhan described the GCC as a market at the forefront of AI adoption, with strong interest in enterprise use cases that meet requirements around information security, data residency and workforce productivity. He said organisations in the region are willing to run pilot programmes inside banks and consulting firms, and that AI fluency is high among power users.
Patwardhan said the market has moved from experimentation to operational use over the past one to two years. He attributed the shift to proven utility, improved economics of AI and stronger open-weight models, as well as growing recognition that a specialist vertical product outperforms a general-purpose model. Model ML positions its product as more effective than general LLMs for finance tasks such as building LBO and DCF models, drafting investment memoranda and reviewing third-party fund prospectuses.
On the role of human investors, Patwardhan said AI is already handling end-to-end workflows such as pitch books and confidential information memorandums, but that human judgement, sector expertise and market relationships remain necessary. He cited the limits of agents in areas such as calling a banker for on-the-ground insight.
For the MENA go-to-market strategy, Patwardhan said the company will localise relationships built globally, extend services to local banks, sovereigns and asset managers, and rely on word of mouth and conference participation. He noted that the company is live with three of the Big Four accounting firms.
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