| What it does | AI implementation, automation and training that actually ships
| AI infrastructure for construction that turns blueprint chaos into structured data
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | Not given
| IL
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| Pricing model | Contact for pricing
| Contact for pricing
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| Pricing | Most first projects: USD 25k to 100k (2 to 10 weeks). Company brain: USD 60k to 150k (8 to 12 weeks). Training workshops: USD 4,500 to 7,500. Custom quotes provided after scoping.
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| Key features | - Company brain that connects CRM, help desk, finance and documents
- Monitored syncs with visible failures
- Permission-based access controls
- Team training and workshops
- AI strategy and planning
- Testing against real-world exceptions
| - 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
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| What makes it different | - Judgment before technology - recommending AI only where it solves real business problems
- Connected systems that share context instead of isolated tools
- Team ownership and training for sustainable adoption
- Practical execution that stays useful after the demo
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 8 ● no change since last check | 34 ● no change since last check |
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| Trust Flow (Majestic) | 5 | 14 |
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| Citation Flow (Majestic) | 36 | 23 |
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| Referring domains (Majestic) | 59 | 127 |
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Paloren
Kamai