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Design PCBs with an agent that works in KiCad
- AI DevOps
- DR 10 no change since last check
AI DevOps · Israel
AI infrastructure for construction that turns blueprint chaos into structured data
Ahrefs Domain Rating benchmarked 25 Oct 2026, rebuilt 25 Oct 2026.
| Metric | Value |
|---|---|
| Domain Rating | 34 no change since last check |
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| Referring domains | 127 no change since last check |
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Ahrefs Domain Rating benchmarked 25 Oct 2026, rebuilt 25 Oct 2026. Main build topic: Computers/Software/Graphics (14). Majestic benchmarked 25 Oct 2026, rebuilt 25 Oct 2026. Link data built by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
| Domain age | 1 year |
|---|---|
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| Registrar | NameCheap, Inc. |
| DNSSEC | Signed |
Kamai reads construction blueprints using geometric foundational models and extracts structured data like areas, volumes, materials, and dimensions for takeoff

Kamai builds AI infrastructure for the construction industry that transforms blueprint chaos into structured data. The platform uses geometric foundational models trained in-house on construction drawings to automatically extract areas, lengths, counts, volumes, materials, and dimensions with full traceability back to the source geometry.
The company offers three surfaces for accessing the same data: the Kamai app for reviewing and exporting takeoffs, the Takeoff API for programmatic access, and an MCP server for agent integration. Every extraction is drawn back onto the sheet for verification, allowing users to spot outliers, gaps, and quantity conflicts before they reach bids or buyouts.
Kamai currently supports interior finishes, plumbing, and electrical divisions, with concrete, framing, mechanical, and structural support coming soon. The structured output feeds multiple workflows including takeoff, estimation, RFI extraction, submittal review, spec review, and scope of work generation.
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