Simulate your agent's real work. Score every dimension.
A benchmark is a simulation of your agent's real workflow — tasks, tools, data, and constraints. Run it. Score every dimension with configurable evaluators. Know exactly where it passes and where it breaks.
What your team gets.
Safety at 0.94 but process compliance at 0.55? You see the gap. No more "the agent seems off" — you know exactly where.
Every prompt change, every model swap is scored before it ships. If safety drops, you see it in the scorecard — not from complaints.
Run the same benchmark across 3 LLM providers. Pick the one that scores best on your domain — not on generic benchmarks.
Business outcomes.
Every agent version scored against your policy requirements. Audit trail for regulators. Show exactly what's running and why.
Agents that don't meet your quality bar never reach users. No more "we pushed a bad prompt" incidents.
When the CFO asks "why GPT-4o instead of Claude?", you have comparative scores on your actual tasks.