| What it does | AI DevOps Agent for GitHub Actions that detects, analyzes, and fixes CI pipeline issues
| Accelerate back office workflows with AI that learns how your business actually runs
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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 | Not given
| Paid
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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.
| Usage-aligned pricing based on agent interactions. Options include prepaid packages with volume discounts or pay-as-you-go pricing. Deployment choices: Interloom SaaS (fully managed multi-tenant cloud), Private VPC (dedicated single-tenant on Azure), or Private VPC with Bring Your Own Model. All pla
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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
| - Delegate workstreams from shared inboxes, ticketing systems, and operational systems of record
- Context graph that stores cases, decisions, documents, agents, experts, and outcomes
- MemoryRank algorithm surfaces successful precedent cases
- Per-case arbitrage routing based on cost, accuracy, and speed requirements
- Triage, assignment, follow-up, and escalation automation
- Self-service usage controls and budget allocation per space or team
- Real-time visibility into agent interactions and usage attribution by space and workflow
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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
| - Learns from every resolved case to improve routing and decision-making over time
- Routes work based on prior outcomes, not just rules or config
- Usage-aligned pricing that rewards automation without seat-based costs
- Orchestrates full resolution path across channels and systems, not just conversations
- Combines AI agents with domain experts and integrations for optimal case resolution
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 27 ● no change since last check | 26 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 6 |
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| Citation Flow (Majestic) | 32 | 31 |
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| Referring domains (Majestic) | 113 | 109 |
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CICube
Interloom