Obin AI raises USD $7 million to power agentic finance

Obin AI has emerged from stealth with $7 million in seed funding led by Motive Partners, as it develops what it calls an "agentic workforce" for financial institutions.

The New York-based firm said the round also included angel investors and advisors Dr. Fei-Fei Li and Lukasz Kaiser. It said it has already secured engagements with several of the world's largest financial institutions, with deployments moving from pilot to production within weeks.

Obin AI is positioning its software for regulated financial workflows that require high accuracy and traceability, targeting asset managers and other financial services organisations. It is pitching a model in which AI agents run defined workflows end-to-end within a firm's internal controls and audit boundaries.

Regulated workflows

Agentic AI systems have become a focus for companies seeking software agents that can complete multi-step tasks rather than provide one-off responses. Obin AI is framing its approach around institutional requirements that are harder to meet than general business tasks, particularly when decisions involve large sums of capital and close regulatory scrutiny.

According to the company, financial services decisions require near-perfect accuracy, full auditability, and regulatory alignment. It said some customers have reported accuracy levels that allow Obin AI-generated outputs to be used directly in core workflows.

Obin AI also promotes an "open architecture" model. Under this approach, it said institutions retain ownership and control of their models, data, and intellectual property, rather than placing proprietary data into closed ecosystems.

It said its infrastructure is built for regulated environments, with every interaction auditable, traceable and aligned with internal governance standards.

Institutional context

Another focus is the historical and unstructured records that many financial firms hold across decades. Institutions often rely on legacy documents, historical data, and internal records that are difficult to use in automated processes. Obin AI said its architecture embeds historical context into the agent layer.

The design is intended to let the system reason across multi-decade datasets and complex financial documents, going beyond basic document extraction to support cross-referencing and inference over older materials.

Obin AI also outlined how it sees firms using AI in production. It said institutions can use its agents to expand capacity, deploy capital faster, and price risk more accurately. The company said it does not view AI as a workforce replacement, but as a way to increase capacity while preserving human judgment.

Founding team

Obin AI was founded by executives with backgrounds in both finance and technology. Co-founder and Chief Executive Officer Apoorv Saxena previously served as Head of AI at JPMorgan and earlier worked on Google Cloud AI products, including Translate and Contact Centre AI.

Co-founder and Chief Technology Officer Dr Valliappa "Lak" Lakshmanan has held roles at Google and Silver Lake. The company said he is the author of seven books on artificial intelligence and a contributor to applied AI research.

The seed round brings Motive Partners into the company as the lead investor. Motive Partners invests across financial technology and data infrastructure, often focusing on tools large financial organisations can adopt within operational and compliance constraints.

Obin AI also cited Pinegrove Venture Partners as a customer and included a quote from Pinegrove's Chief Operating Officer describing workflow replacement rather than incremental process change.

Obin AI is entering a market drawing intense interest from banks and asset managers as they evaluate which AI systems can be deployed under existing risk frameworks. Many firms are exploring AI for monitoring, underwriting, research workflows, and risk management. Procurement often includes security review, model governance, and audit requirements that are more complex than in other industries.

Obin AI said it is building its product around those constraints and that its customers represent more than $1 trillion in assets under management.

The company also warned about error rates in financial decision-making, where small inaccuracies can have outsized effects.

"In financial services, you can be 95 percent accurate and still be 100 percent wrong," said Apoorv Saxena, Co-Founder and CEO, Obin AI.

Investors also described the platform as differentiated in a crowded AI software market, citing its focus on regulated finance and enterprise ownership of intellectual property.

"In an increasingly crowded AI landscape, Obin AI stands apart," said Ramin Niroumand, Partner, Investments & Head of Venture, Motive Partners.

Obin AI said it will use the funding to expand its platform for financial services firms as it moves more customer deployments from pilot programmes into production environments.