❯ Nine-person Halluminate raises a $30 million Series A selling finance-task training environments to top labs

Setting finance exams for modelsHalluminate was founded in San Francisco in 2024 by Cornell computer science alumni Jerry Wu and Wyatt Marshall and has nine people. According to AI Weekly, relaying Fortune, it offers AI labs three things: sandbox environments for training agents, benchmarks that measure performance on financial tasks, and expert evaluation services.

The top score is only 51%Its Westworld Finance Diligence Bench contains 88 tasks drawn from anonymized real private-equity transactions. Across seven models tested, the highest score was 51%. Labs pay to find out where their models fall short on this kind of work and then train them in environments aimed at those gaps.

Led by Oak HC/FTThe Series A announced on October 2 totals $30 million, led by Oak HC/FT with Y Combinator, Orange Collective, Heavybit and FT Partners participating, along with angels from Anthropic, OpenAI and Meta. Total funding is $38.5 million.

Nine people, already profitableThe company says four of the top five US closed-source AI labs are paying customers, that its annualized revenue run rate is in the mid eight figures, and that it is profitable. A run rate projects a full year from the current pace and is not realized annual revenue. Having customers concentrated in a handful of labs is both its strength and its risk: if labs decide to build such environments themselves, the orders disappear together.

▪ SIGNALFor models to learn the work of bankers and private-equity analysts, what is scarce is not compute but exam questions written by people who know the job, so the small firm selling the questions made money before the financial firms using the models.