Evaluation is the blind spot.
AI agents ship without real evaluation. SaaS features launch with vibes, not data. Knowledge work gets reviewed by gut feel. Nobody has an evaluation layer.
AI outputs fail silently
No one catches bad reasoning, hallucinations, or broken workflows until users do.
Evaluation infrastructure
SaaS teams test code, not outcomes. No standard way to measure "does this actually work?"
Human or auto
You pick one. Nobody combines trained human judgment with automated metrics intelligently.
Testing catches bugs.
Evaluation catches everything else.
One platform. Every eval signal.
Trained human evaluators + automated metrics + a gamified gym. Works for AI agents, SaaS features, and qualitative knowledge work.
Built for teams
and evaluators.
Ship with confidence
Your gym. Your career.
See how we stack up.
| Capability | EvalQA | Scale AI | Surge AI | Mercor | Auto Tools |
|---|---|---|---|---|---|
| Self-serve access | ✓ Minutes | Enterprise | Enterprise | Limited | Yes |
| Human + auto hybrid | ✓ Core | Mostly human | Human only | Human only | Auto only |
| AI agent evaluation | ✓ Full | Emerging | No | No | Some |
| SaaS / app eval | ✓ Built-in | No | No | No | Partial |
| Content & work eval | ✓ Native | No | Limited | Interviews | No |
| Evaluator training | ✓ Gamified | Basic | Task-only | Interview | N/A |
| Onboarding | ✓ White-glove | Enterprise only | Enterprise only | Custom | Self-serve |
We built an AI agent that passed every test we threw at it. EvalQA showed us it was confidently wrong 30% of the time on real-world tasks. That's the gap testing can't close.
Arjun Patel, CTO — AI Agent Startup
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