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AI DevOps · Israel

Kamai

AI infrastructure for construction that turns blueprint chaos into structured data

Community votes
0
DR by Ahrefs
34 no change since last check
Started
2024

Ahrefs Domain Rating benchmarked 25 Oct 2026, rebuilt 25 Oct 2026.

Kamai metrics

Benchmarks for kamai.io: Ahrefs Domain Rating and Majestic link data, with the change since the last build.
MetricValue
Domain Rating34 no change since last check
Trust Flow14 no change since last check
Citation Flow23 no change since last check
Referring domains127 no change since last check
External backlinks184 no change since last check

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.

Kamai domain build sheet

Public RDAP record, last read 25 Oct 2026, 17:54 UTC.
Domain age1 year
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Expires
RegistrarNameCheap, Inc.
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Kamai reads construction blueprints using geometric foundational models and extracts structured data like areas, volumes, materials, and dimensions for takeoff

What it is

Screenshot of the Kamai homepage
kamai.io, as visitors see it

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.

What it is built with

  • 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

Pricing

Pricing model: Contact for pricing

Questions from the bench

What are the three ways to access Kamai's data?
The Kamai app provides a full takeoff workspace for upload, review, and export. The Takeoff API gives programmatic access to push drawings and get structured takeoffs back. The MCP server provides primitives for AI agents like Claude or Cursor.
Can I verify what Kamai extracts from my drawings?
Yes, every detection is drawn back onto the sheet so you can see exactly what the models found and catch conflicts, gaps, and quantities that don't reconcile before they reach a bid or buyout.

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