Obin AI, an enterprise AI company building an agentic workforce for financial institutions, has raised $7 million in seed funding led by Motive Partners. The round also includes participation from angel investors and advisors Dr. Fei-Fei Li and Lukasz Kaiser, figures in both foundational AI research and financial services investing.
While recent advances in agentic systems have demonstrated strong performance in coding and general business tasks, financial institutions face a higher bar. Decisions involving hundreds of millions of dollars require near-perfect accuracy, full auditability and regulatory alignment.
The founding team has deep expertise in both finance and AI. Co-founder and CEO Apoorv Saxena previously served as head of AI at JPMorgan, and prior to that ran multiple Google Cloud AI products including Translate and Contact Center AI. Co-founder and CTO Dr. Valliappa (“Lak”) Lakshmanan is a longtime AI architect, former Google and Silver Lake executive, author of seven books on artificial intelligence, and contributor to foundational applied AI research.
Financial institutions can employ Obin’s AI agents to effectively expand their capacity, deploy capital faster, and price risk more accurately. Obin views AI not as workforce replacement, but as a way to expand institutional capacity, enabling firms to do more with greater precision while preserving human judgment.
Obin AI is built on an open architecture model in which institutions retain full ownership and control of their models, data and intellectual property. The company’s infrastructure is intentionally designed for regulated environments, with every interaction auditable, traceable and aligned to internal governance standards.
The platform also addresses one of the most complex challenges in financial services, preserving decades of institutional context, when it comes to AI deployments. Financial institutions often rely on historical data, legacy documents and unstructured records that require inference and cross-referencing beyond simple document extraction. Obin AI’s architecture is designed to embed historical context into the agent layer, enabling deeper reasoning across multi-decade datasets and complex financial documents.
“In financial services, you can be 95% accurate and still be 100% wrong,” said Saxena. “In a regulated industry managing billions or trillions of dollars, that final margin of error determines whether AI can be trusted. We built Obin AI to solve for that ‘last mile,’ where institutions can rely on AI to support high-stakes, firmwide decisions with confidence.”
“In an increasingly crowded AI landscape, Obin AI stands apart,” said Ramin Niroumand, partner, investments and head of venture at Motive Partners. “Led by a veteran team with a track record of scaling production-grade AI, Obin AI understands the complexity required to deliver the long-tail reliability that financial institutions demand. With an architecture designed specifically for regulated finance and to ensure full enterprise ownership of IP, Obin AI is uniquely positioned to operationalize AI in the highest-stakes environments.”
“Obin AI has successfully bridged the gap from baseline Agentic AI outputs to production-grade performance,” said E-John Lee, COO of Pinegrove Venture Partners. “This has enabled us to confidently replace an existing workflow rather than merely drive incremental efficiencies. They have been true strategic partners to Pinegrove and we highly value their focus on accurate, repeatable results.”