UBS, FactSet back Finster AI's Series B for investment banking tools
What's the deal? Finster AI has raised a Series B round backed by UBS Investment BankDealroom has a profile for this one. Try Dealroom → and FactSetDealroom has a profile for this one. Try Dealroom →, the London and New York-based startup announced on August 10, 2026. The company builds AI-native software for research, analysis, and content workflows across investment banking and asset management.
What's the endgame? Finster's platform pulls structured financial data, unstructured content, and institutional knowledge into unified workflows. It can create client-ready briefing decks, model companies ahead of transactions, and monitor sectors for emerging trends and market-moving events.
Where does the money go? The investment will fund enterprise-grade AI infrastructure tailored to investment banking. That includes expanded workflow tools, deeper data integrations, and functionality built for regulated environments.
Why now? Finster is developing its technology with FactSet, whose AI for Banking platform provides a secure environment for workflow automation. The integration connects financial data and analytics to widely used tools including Microsoft Excel and PowerPoint.
"UBS Investment Bank's investment in Finster AI reflects our interest in technologies that support the continued evolution of investment banking workflows," said Greg Peirce, co-head of global banking APAC and AI business sponsor at UBS.
Finster's team includes experts from DeepMindDealroom has a profile for this one. Try Dealroom →, Meta, J.P. MorganDealroom has a profile for this one. Try Dealroom →, and Morgan StanleyDealroom has a profile for this one. Try Dealroom →. Chief executive officer Sid Jayakumar said the round "reflects the growing importance of AI-native infrastructure in investment banking."
The signal: Two established financial players — a global bank and a data provider — are putting money behind a startup building on top of their own systems. It points to how incumbent institutions are choosing to embed AI into regulated workflows rather than build it entirely in-house.
Image credit: K2 Space
Read more: PR Newswire
