| What it does | AI agents that prevent production incidents by verifying changes and investigating alerts
| Execution governance for consequential AI-agent operations
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| Stage | Not given
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| Founded | 2023
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| Based in | US
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| Pricing model | Paid
| Freemium
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| Pricing | Team $700/month (1,400 credits), Pro $1,500/month (3,000 credits), Scale $3,000/month (6,000 credits), Enterprise custom annual billing. Change verification costs 2 credits ($1), issue investigation costs 10 credits ($5), chat requests 1 credit per started minute after first 30 seconds ($0.50/minute
| Free engine (MIT/Apache-2.0 open source). Team tier: €1,900/month including 25 writing seats and 50,000 governed actions per month; overage €0.02 per action above 50k monthly. Enterprise: from €90,000/year. Design partner program: €18,000 for 90 days (credited against first annual contract). Add-ons
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| Key features | - Production change verification with up to 14-day monitoring
- Automated root cause analysis for production issues
- Fix pull request generation with production evidence
- Environment graph mapping services and dependencies
- Alert deduplication and false positive dismissal
- Operational memory accumulating across investigations
- Integration with Slack, Microsoft Teams, and web app
- SOC 2 Type II compliance and read-only by default
- MCP (Model Context Protocol) server support
- Custom agents and alert routing
| - Authority revalidation at dispatch time against live conditions
- Approval binding to canonical intent with single-use, time-bound enforcement
- Sequence and prerequisite policy enforcement at plan time and runtime
- Effect identity matching to prevent duplicate actions across runs
- HMAC-signed, hash-chained, and Ed25519-anchored evidence
- Cross-session capacity ledger for aggregate exposure control
- Verifiers in five languages for independent offline verification
- MCP server support for integration with Claude Code, Cursor, and other agents
- Air-gapped deployment with documented key ceremony on Enterprise
- Deterministic Rust enforcement engine with no models in the decision path
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| What makes it different | - Verifies production changes against real traffic for up to 14 days
- Hands off fix pull requests with production evidence for review
- Closes false positives and investigates only real production issues
- Learns from each fix and compounds knowledge across the team
- Read-only by default with full audit trails and SOC 2 Type II compliance
| - Authority is revalidated at the moment of execution, not just at approval time
- Signed, verifiable evidence allows third-party audit without trusting the vendor
- Deterministic enforcement with no AI models influencing the gate decision
- Pricing on governed actions, not seats, aligned with consequence not headcount
- Refusals and verification are never metered or charged
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 47 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 11 | 0 |
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| Citation Flow (Majestic) | 36 | 0 |
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| Referring domains (Majestic) | 265 | 0 |
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Cleric
Rigorix