See Everything Your Production AI Does
ModelTrace Observatory gives engineering teams full-stack observability for AI in production. Detect drift, trace incidents, evaluate quality, and resolve regressions before they reach your users.
Trusted by AI-forward engineering teams
Every signal, every model, one observatory
From drift detection to trace replay, ModelTrace covers the full observability lifecycle for production AI systems.
Real-Time Drift Detection
Continuously monitor model outputs for distributional drift, semantic shifts, and quality degradation across every deployment.
Safety & Compliance Guardrails
Catch hallucinations, prompt-injection attempts, and policy violations before they surface to end users with automated safety scoring.
End-to-End Trace Replay
Reproduce any incident in seconds. Full request-to-response traces with prompt context, retrieval steps, and latency breakdowns.
Intelligent Alerting
Context-aware alerts that cut through noise. Route the right signal to the right team with severity-based escalation policies.
Evaluation Metrics at Scale
Run continuous evals against production traffic. Track accuracy, relevance, toxicity, and custom metrics without extra infrastructure.
One-Line Integration
Drop in our SDK and start capturing traces immediately. Works with OpenAI, Anthropic, open-source models, and custom pipelines.
Reproduce any AI incident in seconds
Every request through your AI pipeline is captured with full context: prompts, retrieval documents, chain-of-thought steps, and model outputs. When something goes wrong, click into the trace and see exactly what happened.
- Full prompt-to-response traces with latency profiling
- Side-by-side comparison of model versions
- One-click export for offline analysis
Built for the teams operating AI at scale
“ModelTrace cut our mean-time-to-detection from hours to minutes. We caught a critical prompt-injection vulnerability before a single user was affected.”
Sarah Chen
VP of Engineering, Luma AI
“The trace replay feature alone paid for itself. Debugging production LLM issues went from a multi-day investigation to a five-minute review.”
Marcus Rodriguez
ML Platform Lead, Finova
“We finally have observability parity between our traditional services and our AI features. ModelTrace is the missing piece of our monitoring stack.”
Priya Sharma
SRE Manager, DataForge
Metrics that matter, surfaced automatically
Track accuracy, safety, latency, and custom evaluation scores across all your models from a single pane of glass.
Stop guessing. Start observing.
Join the teams that trust ModelTrace Observatory to keep their production AI safe, reliable, and performing at peak quality.