| What it does | AI DevOps Agent for GitHub Actions that detects, analyzes, and fixes CI pipeline issues
| AI operational intelligence for agents and AI products
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | US
| US
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| Pricing model | Not given
| Free trial
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| Pricing | Essential: $8 per committer per month (billed annually) or $12 on-demand. Enterprise: custom pricing. Free trial available for 14 days with no credit card required.
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| Key features | - AI DevOps Assistant for conversational CI workflow queries
- AI-Powered Pipeline Fixes for automatic failure detection and remediation
- CubeScore™ with North Star Metrics tracking MTTR, Success Rate, Throughput, and Duration
- Real-time monitoring and alerts
- Weekly email CI reports and insights
- Actionable insights to address pipeline issues
- Cost tracking and optimization with granular visibility
- Secure read-only GitHub Actions integration
| - 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 | - First AI DevOps Agent specifically built for GitHub Actions
- Quantifies hidden CI costs from context switching
- AI-powered root cause analysis and intelligent fixes
- Conversational AI interface for CI data queries
- CubeScore™ metric system for CI lifecycle evaluation
| - 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 |
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| DR (Domain Rating by Ahrefs) | 27 ● no change since last check | 18 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 32 | 15 |
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| Referring domains (Majestic) | 113 | 6 |
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