The problem
AI labs lack realistic, expert-built simulations to train agents on long, high-value banking and PE tasks
What they do
RL training environments and benchmarks that teach AI agents finance knowledge work
Traction $0 to mid-eight-figure run rate in ~10 months, profitable; 4 of 5 top US labs
Hiring trend
- Open roles
- 10
- Ops roles
- 3
- Headcount
- ~9 core (~48 on LinkedIn)
LinkedIn ~48 incl. finance experts (+213% YoY); core team ~9 (Fortune)
Hiring in
- San Francisco
Glassdoor
3.6 ★ 2 reviews ↗Funding
- Last round
- $30M
- Stage
- Series A
- Date
- Oct 2026
Led by Oak HC/FT
- Hiring+1.510 open roles on the live job board (10–29 roles = +1.5)
- Funding recency+1.5Series A · $30M, Oct 2026 (this month): 6 months or less = +1.5
- Traction+1.5Strong growth: $0 to mid-eight-figure run rate in ~10 months, profitable; 4 of 5 top US labs
- Red flags0None found in the last 24 months
- Total4.51.5 + 1.5 + 1.5 − 0 = 4.5 → Race (4.25–4.74)
Distance (10K) is a separate read on how long the lead can last. It doesn't change the score.
Distance
10K · edge: learns from use
Fast, profitable start with four of five top US labs, but a newer, finance-focused entrant behind Mercor, Surge and Scale in lab data, with revenue concentrated in a handful of labs.
Sources: Oak HC/FT: Why we led Halluminate's $30M Series A (Oct 2026) ↗ · Halluminate: Series A announcement (Oct 2026) ↗
Last checked Oct 25, 2026