Obin AI

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Obin AI builds an agentic workforce for financial institutions, deploying domain specific AI workers that run defined workflows end to end inside a firm's controls and audit boundaries across banking, insurance, and asset management, with an initial wedge in private credit. Rather than copilots that assist at the task level and require a human at every step, Obin's agents own workflows: in origination and diligence they extract deal terms and financials from documents, pre populate LBO models, run real time economics such as ROA, IRR, and MOIC, identify comparable structures from a fund's history, and draft investment committee ready memos; in monitoring they track covenant compliance and portfolio performance continuously and flag deterioration only when risk signals converge; and in banking they pre populate risk scorecards, assemble approval packages with audit trails, and detect fraud in real time while reducing false positives. The system is model agnostic and evaluation driven, built for the near perfect accuracy, auditability, and regulatory alignment that capital decisions demand, where 95 percent correct can be 100 percent wrong. An open architecture lets institutions retain full ownership of their models, data, and IP rather than handing them to a closed ecosystem, and the agent layer embeds decades of institutional context so firm specific logic and knowledge compound and persist even as people rotate off teams. In production it has processed more than 50,000 annual loan notices for a private credit fund with over $500B, saving most of the manual time.