High signal environments for agents

BenchFlow builds evaluation infrastructure for AI agents. We create benchmarks, protocols, and tools that help researchers and developers understand what agents can actually do — and where they fall short.

Our work spans agent evaluation across diverse, high-GDP-value domains: science, finance, healthcare, cybersecurity, energy, and software engineering. We believe that rigorous, reproducible measurement is the foundation for building better agents.

We maintain the BenchFlow Hub — a universal benchmark protocol with 60+ integrated benchmarks — and SkillsBench, the first evaluation framework measuring how skills and custom instructions affect agent performance across 84 expert-curated tasks.

Mission

Build the standard infrastructure for agent evaluation — reliable, open, and reproducible.

Approach

Expert-curated tasks, real data, containerized environments. No synthetic shortcuts.

Open source

All our benchmarks and tools are open source. Evaluation should be transparent.