| What it does | AI infrastructure for construction that turns blueprint chaos into structured data
| Know exactly where every AI dollar goes
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| Stage | Startup
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| Founded | 2024
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| Based in | IL
| PY
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Free: $0/month (1 developer, 1 project, 7-day event history). Starter: $10/month (3 developers, 2 projects, 30-day event history). Team: $50/month (10 developers, 5 projects, 90-day event history). Business: $100/month (100 developers, 100 projects, 180-day event history).
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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
| - Track spending by project, developer, model and provider
- Privacy-preserving SDK that never collects prompts or responses
- Fail-open design ensures AI calls work even if Tokmetry API is down
- Support for OpenAI, Anthropic and Google Gemini
- Cost calculator to estimate spending on different models
- No latency added to AI calls
- Historical cost tracking with versioned pricing
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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
| - Designed for privacy with only metadata collection, never storing prompts or API keys
- Fail-open architecture ensures your AI application keeps running even if the service goes down
- One-line integration with no proxy or gateway required
- Unified view across multiple AI providers with normalized costs
- Waste detection and cost comparison between models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 36 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 14 | 0 |
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| Citation Flow (Majestic) | 23 | 22 |
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| Referring domains (Majestic) | 127 | 2 |
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Kamai
Tokmetry