Evolving Machines operates continuous evaluation infrastructure for self-improving agents.

The best AI systems already improve themselves: they analyze their own trajectories, refine their harnesses, tune their models, and help author the tasks they train on. Today, only a handful of frontier labs operate this way. We believe every organization and research lab will. Making that future possible is fundamentally an infrastructure problem—and the reason we are building Evolving Machines.

Recursive self-improvement starts with continuous agent evaluation. Our cloud platform runs evaluations reproducibly and at scale across benchmarks, models and harnesses. It returns the scores, trajectories and analysis teams need to understand failures, compare system versions and promote only those that perform measurably better.