Convergent builds the evaluation and optimization infrastructure for AI agents.

Companies are giving more responsibility to AI agents. The hard problem is shifting from building capable agents to making the whole system perform well. The best companies will combine many agents, models, and workflows. Their advantage will come from how well those parts operate together and how quickly the system improves.

Convergent evaluates what happens in production, turns that behavior into rigorous evals and environments, and optimizes agents accordingly. The result is a more capable organization: teams tackle more ambitious problems, move faster, and keep quality high.

We are a team of engineers and researchers who have trained frontier models, built agent-native products, and designed and scaled large AI systems. We started Convergent because we believe the next important problem in AI is not building one intelligent agent, but making many of them perform well together.