| What it does | Accelerate back office workflows with AI that learns how your business actually runs
| AI debugging for modern engineering teams
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | Not given
| US
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| Pricing model | Paid
| Freemium
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| Pricing | 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
| Free Trial: 3 bug fixes per month. Pro: $33/month for 15 bug fixes per month (or $24.75/month billed as $297/year with annual discount). Super User: $60/month for 30 bug fixes per month (or $45/month billed as $540/year with annual discount). Enterprise: Custom pricing with custom bug fix volume.
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| Key features | - 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
| - Automated alert triage from monitoring stack
- Root cause analysis across distributed systems
- Issue reproduction in controlled environment
- Validated fix generation with test cases
- VS Code extension for local debugging
- GitHub App for automated analysis
- Self-hosted deployment option
- Integration with logs, traces, metrics and alerts
- Visible reasoning chain for every fix
- Triage sessions shareable and reloadable
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| What makes it different | - 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
| - Validation-first approach with reproduction tests and regression verification
- Built specifically for debugging existing bugs, not writing new code
- Handles complex distributed systems with stateful, auditable workflows
- No hard upper limit on context, processes automated log and trace ingestion
- Local deployment keeps code on user's machine
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 26 ▼ −1 (down) since last check | 36 ● no change since last check |
| Trust Flow (Majestic) | 6 | 0 |
| Citation Flow (Majestic) | 31 | 13 |
| Referring domains (Majestic) | 109 | 73 |