About Us
We're building AI quality infrastructure where production failures automatically become regression tests, so the same issue never ships twice.
Our Mission
AI systems are fundamentally different from traditional software. They're probabilistic, context-dependent, and can fail in unexpected ways. Yet most teams only discover failures when users complain.
We built the AI reliability loop: collect production traces, detect failures automatically, generate test cases, and promote them into your CI regression suite. Combined with 50+ built-in quality assertions, LLM judges, and golden datasets, EvalGate ensures every AI product improves with every deployment.
The Problem We're Solving
❌ Without Proper Evaluation
- • Silent failures in production — same bugs ship repeatedly
- • No visibility into model behavior at scale
- • Prompt changes break existing use cases
- • Manual test case creation can't keep up
- • Inability to measure improvement over time
- • User trust eroded by inconsistent outputs
✓ With Our Platform
- • Production failures auto-generate regression tests
- • Full trace collection with idempotent ingest
- • Golden regression datasets grow automatically
- • Scale human review with LLM judges
- • CI gates block regressions before deployment
- • Ship with confidence — the same issue never ships twice
How We're Different
End-to-End Platform
From production trace collection to CI regression gates, we cover the entire AI reliability lifecycle. No need to stitch together multiple tools.
Human + AI Evaluation
Combine the scale of LLM judges with the nuance of human review. Train judge models on your specific quality criteria.
Built for Production
Idempotent trace ingest, rate-limited analysis, auto-promotion heuristics, and golden regression datasets. Scale from prototype to millions of requests.
Who We Serve
Startups
Ship AI features faster with built-in quality assurance. Catch issues before users do and iterate with confidence.
Enterprises
Meet compliance requirements and risk management standards. Audit trail for every AI decision with full traceability.
AI Teams
Focus on building, not infrastructure. We handle the complexity of evaluation at scale so you can focus on your models.
Our Values
Quality First
AI quality isn't optional. We believe every AI product should be rigorously tested before reaching users.
Developer Experience
Great tools get out of your way. We obsess over API design, documentation, and making evaluation feel natural.
Transparency
AI systems should be observable and explainable. We provide full visibility into how your models behave.
Community Driven
We learn from practitioners building in production. Your feedback shapes our roadmap.