Small RL companies are the AI industry's equivalent of quant shops. Let me explain. Both are small, secretive, full of brilliant people, profitable, and always one step from their edge disappearing. The parallels: - Secretive. Nobody publishes their signals. Labs won't say what they're training next, and vendors can't say who they sell to. Epoch calls the market "largely behind closed doors." - Hunting alpha. For a quant, a trade stops working once everyone finds it. For these shops, a task stops paying once models can solve it (labs drop tasks at around 70% pass rate). Meanwhile, labs are building their own in-house. So they always have to find the next field. - Deep Industry Connections. You need to know the problem cold to get in. Founders have usually worked at, or sold to, the labs. You can't define "correct" for fund accounting without having done fund accounting. - They buy strange data. Quants buy satellite photos of parking lots. RL shops bid for enterprise data (eg $12.5M bid for Spirit Airlines historical data). - Brilliant people. Quants hire math olympiad winners. These shops hire ex-lab researchers and real practitioners. - Huge revenue per head. Jane Street made about $11M per employee in 2025. Proximal is about $5M. The tweet's company would be $20M. - One narrow problem that makes something more efficient. Quants make markets more efficient. These RL shops make models training more efficient. - High risk (for different reasons). A quant can lose millions in a day on a bad trade. An RL shop's risk is that one lab trains a model that makes their environments irrelevant, or brings the work in-house, and the revenue stops. - Overfitting/reward hacking. A quant's nightmare is a strategy that looks perfect on historical data and fails live. An RL shop's nightmare is an RL grader that scores perfectly and trains the model incorrectly. - Infrastructure arms race. Quants pay for microseconds of speed. RL shops race to spin up thousands of disposable computers per training run. Obviously there are as many differences between RL companies and quant shops, but right now the aura around them feels eerily similar. Curious to see how this market matures as robotics opens up a new surface, and whether the frontier labs end up absorbing them.