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Product

Features built for measurable AI performance

From trace-level observability to executive reporting, Pufin AI gives every team the workflows needed to monitor, diagnose, and improve model outcomes in production.

120M+

Signals processed daily

4x faster

Incident triage speed

10ms

Median alert latency

Observability

Trace every inference with full request context

Capture prompts, model configuration, outputs, latency, and quality signals in one timeline to accelerate root-cause analysis.

  • Request-level drilldown with correlated metadata
  • Version-aware comparisons across model releases
  • Automatic anomaly detection on quality and speed

Reliability

Set guardrails and enforce performance SLOs

Define thresholds for drift, hallucination risk, and latency. Trigger alerts and route incidents to the right team instantly.

  • Custom SLO policies per model and endpoint
  • Alert routing to Slack, email, and webhooks
  • Escalation workflows for critical incidents

Decision support

Translate telemetry into business decisions

Dashboards and executive reports connect model performance to user impact, so leadership can prioritize confidently.

  • Role-based dashboards for engineering and product
  • Automated weekly performance summaries
  • Exportable evidence for stakeholder reviews

FAQs

Common questions from AI teams

Clear answers to help you evaluate fit, rollout approach, and ongoing operations.

Talk to product specialist

Can we monitor multiple model providers in one workspace?

Yes. Pufin AI supports mixed-model environments and normalizes signals for consistent cross-provider analysis.

How quickly can we integrate?

Most teams can instrument core endpoints in under a day using SDKs and API ingestion.

Do features support enterprise governance?

Yes. Access controls, audit trails, and policy-based alerting are designed for enterprise workflows.