| What it does | AI-accelerated incident response that proves root causes and fixes them with human approval
| Canary rollouts for prompts and models with automatic quality gates and rollback
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Contact for pricing
| Free trial
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| Pricing | Not given
| 7-day free trial with 1,000 judged evaluations (no card required). Indie: $20/month or ₹1,699/month (3,000 judged evaluations/month). Starter: $49/month or ₹4,099/month (10,000 judged evaluations/month). Pro: $149/month or ₹12,499/month (100,000 judged evaluations/month). Enterprise: custom pricing.
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| Key features | - Root cause proven by read-only checks against live systems
- One-tap human approval in Slack, Symphony, PagerDuty, phone or email
- Shadow mode by default, per-service autonomy with two-person promotion
- Tamper-evident, hash-chained, signed audit ledger
- On-prem and air-gapped deployment with no inbound ports
- Connectors for Prometheus, Grafana, Splunk, Datadog, Git hosts, Jira, ServiceNow, Kubernetes and SQL databases
- Dry run before execution, every time
- SIEM-ready: syslog to Splunk, QRadar or any SIEM
- Secrets never stored: redacted before anything is written
| - Canary deployments for prompts and models with progressive traffic steps
- LLM judge scoring responses on helpfulness, accuracy and clarity
- Automatic rollback when quality drops below threshold
- Drop-in replacement for OpenAI-compatible clients
- Support for OpenAI, Anthropic, Gemini, OpenRouter and Vercel AI Gateway
- Request log with prompts, responses, cost and judge verdict
- Failover and routing across providers
- Alerts via email, Slack and webhooks
- Dashboard and API for managing rollouts
- Controller makes routing decisions every 30 seconds
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| What makes it different | - Proves root causes through live system checks, not guesses
- Operates entirely on-premises with no inbound connections
- Measured median time to fix from alert to verified resolution
- Every action is auditable, hash-chained and signed
| - Automatically detects and rolls back silent quality failures that don't trigger errors or alerts
- Quality decisions based on real traffic and LLM judging, not health checks alone
- Minimal latency overhead of about 0.4ms median in request path
- Every decision audited with exact metrics that triggered routing changes
- Can run in the cloud or inside customer's own network for data privacy
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 6 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 22 | 15 |
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| Referring domains (Majestic) | 17 | 2 |
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