Proximal, a research lab building the data engine behind autonomous coding agents, has raised $15.0M in seed funding from General Catalyst.
The company treats data as a first-class research problem, applying the same rigor typically reserved for training algorithms and model architectures. It also develops benchmarks like FrontierSWE to evaluate frontier models on complex, long-horizon coding tasks.





