| What it does | AI infrastructure for construction that turns blueprint chaos into structured data
| AI debugging for modern engineering teams
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| Stage | Startup
| Startup
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| Founded | 2024
| 2025
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| Based in | IL
| US
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| 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 | - Geometric foundational models for blueprint analysis
- Automatic extraction of areas, lengths, counts, volumes, and materials
- Traceability back to sheet, layer, and geometry source
- Visual verification with detections drawn back onto sheets
- Takeoff API for programmatic access
- MCP server integration for AI agents
- Support for electrical, plumbing, and interior finishes divisions
- Workflow support for estimation, RFI extraction, submittal review, and spec review
- Construction tool integrations with Trimble, Fieldwire, and Contractor Foreman
| - 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 | - No bespoke models or per-project retraining required
- Full traceability with every quantity keyed back to source geometry
- Same foundational models accessed through app, API, or MCP server
- Built by industry experts with deep construction and AI backgrounds
| - 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 |
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| DR (Domain Rating by Ahrefs) | 34 ● no change since last check | 36 ● no change since last check |
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| Trust Flow (Majestic) | 14 | 0 |
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| Citation Flow (Majestic) | 23 | 13 |
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| Referring domains (Majestic) | 127 | 73 |
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Kamai
FixBugs