| What it does | AI debugging for modern engineering teams
| The model training platform for AI teams
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| Stage | Startup
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| Founded | 2025
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | 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.
| Free: $0/month with $50 in credits once, 1 seat per project, every feature, console, CLI and MCP server, community Discord support. Pro: $120/month with $120 in credits every month, unlimited seats, priority support. Enterprise: Custom pricing, contact for details.
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| Key features | - 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
| - OpenTelemetry agent tracing and trace import from Langfuse, LangSmith, Braintrust and Galileo
- Generated evals and Agent Optimizer runs that return scored code diffs
- Data Workshop with dataset preparation and quality checks
- Model training with recommended settings for LoRA or full fine-tuning
- Benchmarks against your current model on the same eval set
- Hosted OpenAI-compatible inference and downloadable model weights
- Console, CLI and MCP server access
- OpenAI-compatible API for trained models
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| What makes it different | - 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
| - Own your trained models with downloadable weights and checkpoints
- Zero third-party training with data never leaving your pipeline
- Open source and self-hostable with Docker Compose
- Built by security and defense intelligence pioneers
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 36 ▼ −1 (down) since last check | 44 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 10 |
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| Citation Flow (Majestic) | 13 | 35 |
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| Referring domains (Majestic) | 73 | 201 |
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FixBugs
Overmind