| What it does | AI operational intelligence for agents and AI products
| Audit-ready evidence layer for AI agent runs
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| Stage | Startup
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| Founded | 2024
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| Based in | US
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| Pricing model | Free trial
| Free
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| Pricing | Not given
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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
| - Chronological agent run timeline
- Model, tool, human-approval and error events
- Redaction findings stored as hashes only
- Hash-anchored, append-only evidence chain
- Portable JSON audit packet export
- Verified human approval with signed binding
- Offline verification with signed receipts
- Event queueing and retry logic
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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
| - Sensitive data never stored in the clear, only hashes preserved
- Portable JSON packets verifiable outside the system
- Verified human approvals with signature binding
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 18 ● no change since last check | 18 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 15 | 12 |
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| Referring domains (Majestic) | 6 | 3 |
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Agent Evidence Recorder