| What it does | AI operational intelligence for agents and AI products
| Production-grade AI and general observability built on OpenTelemetry
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| Stage | Startup
| Established
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| Founded | 2024
| 2018
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| Based in | US
| Not given
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| Pricing model | Free trial
| Freemium
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| Pricing | Not given
| Personal: Free with 10 million records/month hard-capped at $0. Team: $49/month with 10 million records included, $2 per million additional. Growth: $249/month with everything in Team plus unlimited seats and up to 90-day retention. Enterprise: Custom pricing for Cloud, Dedicated, or Self-hosted opt
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| Key features | - Agent trace debugging with step-by-step timeline view
- LLM judge evaluations on production traces with templates
- Token spend tracking by model, agent, tool and user
- AI Assistant for natural language questions over data
- Dashboard templates for traces, analytics and spend
- OpenTelemetry native ingestion
- Correlation of traces, events and user sessions
- Silent regression detection with daily quality comparisons
- Cost leak identification from failing tools and retries
- User journey analysis joining traces with funnels and events
| - Real-time cost tracking and model usage analytics
- SQL query interface for traces and logs
- Integrated evals framework for AI output evaluation
- AI Gateway for centralized LLM API management
- Feature flags and managed variables without redeploy
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| What makes it different | - Catches AI failures that don't throw errors, like silent regressions and cost leaks
- One platform connecting traces, evals, spend and product analytics for comprehensive understanding
- AI Assistant to ask questions in plain English instead of writing queries
- Compare changes against production evidence rather than demos
- Integrations with major AI frameworks without code changes to production tools
| - Works with any language via standard OpenTelemetry, not proprietary SDKs
- Traces full application stack, not just LLM layer
- Integrated evaluation framework with production datasets and live evals
- Querying production telemetry with standard PostgreSQL SQL
- Built by the team behind Pydantic with 60K+ GitHub stars
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 18 ● no change since last check | 83 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 30 |
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| Citation Flow (Majestic) | 15 | 54 |
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| Referring domains (Majestic) | 6 | 7880 |
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