The Finance Startup Bringing Agentic AI to Wall Street

Model ML combines familiar document, presentation, and spreadsheet tools with an agentic system that can access a firm's files, email, CRM, data vendors, and internal datasets. The founders say the system can reduce the manual work of gathering and analyzing information.

The founders describe 2024 as a year of AI testing and 2025 as a shift toward regular use. They say Model ML signed as many contracts in the first seven days of one recent period as it had in all of Q4, and that about 10% of the largest private equity firms and investment banks use the product. An earnings summary that might take days to assemble can be generated close to completion, with figures linked to their sources.

The founders say AI has become a firmwide priority, bringing senior executives and implementation teams into buying decisions. They build trust through in-person meetings, live demonstrations with real data, and customer trials. Their teams stay close to users and iterate on what they learn.

The founders recount building Fat Llama, an insured rental marketplace, and Fancy, a grocery delivery business acquired by Gopuff. Fat Llama took three years to find product-market fit and faced setbacks such as a delayed rental and a payment shutdown; the founders say customer contact and perseverance helped them keep going. They also stress careful hiring, clear co-founder responsibilities, and honest communication.

The founders expect routine financial tasks to happen autonomously, so work may be ready before employees arrive in the morning. They keep familiar document, slide, and spreadsheet formats because users know them. For people considering startups, they advise weighing the difficulty against genuine interest in building, and choosing a location that helps with customers and hiring.