This AI startup cracked a Financial Services AI problem with ‘human-like’ APIs

Eloquent AI Raises $7.4M to Bring Human-Level Automation to Financial Institutions. $500K ARR in 4 weeks. 154 banks on the waitlist. Here’s what Eloquent AI built differently.

San Francisco, CA — What if banks could operate at the speed of AI? That’s the question driving Eloquent AI, a fast-growing startup that’s redefining how financial institutions handle complex, regulated workflows.

The company announced a $7.4 million seed round, led by Foundation Capital, with participation from EJF Ventures, Duke Capital Partners, Massive Tech Ventures, and Y Combinator. The round reportedly closed in just three days and was 12 times oversubscribed.

Eloquent AI’s CEO, Tugce Bulut,, describes how its technology enables banks to automate high-stakes decisions with the speed, precision, and compliance required in the financial sector.

At the heart of Eloquent AI’s platform are what it calls “AI Operators” – intelligent systems that act like human APIs, capable of executing end-to-end workflows rather than just answering queries. Unlike traditional automation tools, these AI Operators can log into internal systems, navigate complex interfaces, make decisions, and document every step with full auditability – all without writing a single line of code.

Since launching just a few months ago, Eloquent’s AI Operators have been used to:

  • Unfreeze accounts
  • Resolve Reg-E disputes
  • Perform loan servicing and sanction screening
  • Disposition alerts in compliance workflows

The platform integrates a multimodal large language model trained on regulated financial workflows, computer vision, and deterministic logic — combining adaptability with the reliability financial institutions demand.

Backing the team are founders and executives from major fintech and AI players, including Palantir Technologies, Mercury, OakNorth, Gusto, Cleo, Rho, Ramp, Next Insurance, and Vouch Insurance.

With fresh funding, Eloquent AI plans to expand its engineering team in San Francisco and deepen its automation capabilities across lending, fraud, payments, and wealth management.

“Work should be meaningful, not repetitive,” said Bulut. “And automation shouldn’t come at the cost of trust, control, or compliance. Life’s most important moments shouldn’t be spent waiting on hold.”

Eloquent AI’s approach highlights a growing trend in fintech: the push to merge human-level reasoning with machine precision, creating systems that can handle not just data, but decisions.