The founder’s journey: from investment banking to AI startup

I did not leave investment banking because spreadsheets were hard. I left the old workflow because it was beneath the decisions it was meant to support. After 30 years — CFO, EVP, director seats, sukuk, project finance, recoveries after 2008 — the feasibility pack was still a manual craft.

The problem I could not unsee

Smaller developers paid too much for a single shot at a professional study. Larger sponsors paid again every time the mix changed. Everyone rebuilt the same waterfalls. I described the missing tool as “an experienced finance professional who can run scenarios with you — anytime, anywhere.” Generic AI could not do that with IC-grade precision. That gap is FeasiBuild.

What 30 years put into the product

• AED 670M recovery and swap work on a Dubai masterplan — downside cases are not academic.
• USD 100M Shari’ah construction fund in Saudi — structure is a constraint, not a footnote.
• AED 150M UAE bank financing — lenders read schedules, not slogans.
• USD 50M Oman mall — retail has its own language.
• SGD 1B Singapore business trust advisory — disclosure quality is the product.

I wanted the tool I wish I’d had throughout my career — institutional-grade, instant, and honest about risk.

FeasiBuild is that tool, now in the hands of developers, valuers, financiers, and consultants who should not need a three-week engagement to know whether a site works.