| What it does | An AI agent for cloud infrastructure teams
| AI operational intelligence for agents and AI products
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| Stage | Startup
| Startup
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| Founded | Not given
| 2024
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| Based in | Not given
| US
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| Pricing model | Not given
| Free trial
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| Pricing | Not given
| Not given
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| Key features | - Detects performance regressions and incidents
- Correlates telemetry, code, CI/CD, and cloud signals
- Drafts root cause analyses, runbooks, and actionable fixes
- Slack integration
- Production signal monitoring
| - 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
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| What makes it different | - Acts on production signals to ship products faster and more reliably
- Solves DevOps complexity legacy observability tools couldn't solve
- Makes infrastructure invisible and proactive
| - 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 14 ▼ −1 (down) since last check | 18 ● no change since last check |
| Trust Flow (Majestic) | 9 | 0 |
| Citation Flow (Majestic) | 22 | 15 |
| Referring domains (Majestic) | 103 | 6 |