| What it does | AI infrastructure for construction that turns blueprint chaos into structured data
| The model training platform for AI teams
|
|---|
| Stage | Startup
| Not given
|
|---|
| Founded | 2024
| Not given
|
|---|
| Based in | IL
| Not given
|
|---|
| Pricing model | Contact for pricing
| Freemium
|
|---|
| Pricing | Not given
| Free: $0/month with $50 in credits once, 1 seat per project, every feature, console, CLI and MCP server, community Discord support. Pro: $120/month with $120 in credits every month, unlimited seats, priority support. Enterprise: Custom pricing, contact for details.
|
|---|
| 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
| - OpenTelemetry agent tracing and trace import from Langfuse, LangSmith, Braintrust and Galileo
- Generated evals and Agent Optimizer runs that return scored code diffs
- Data Workshop with dataset preparation and quality checks
- Model training with recommended settings for LoRA or full fine-tuning
- Benchmarks against your current model on the same eval set
- Hosted OpenAI-compatible inference and downloadable model weights
- Console, CLI and MCP server access
- OpenAI-compatible API for trained models
|
|---|
| 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
| - Own your trained models with downloadable weights and checkpoints
- Zero third-party training with data never leaving your pipeline
- Open source and self-hostable with Docker Compose
- Built by security and defense intelligence pioneers
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 36 ▲ +1 (up) since last check | 44 ● no change since last check |
|---|
| Trust Flow (Majestic) | 14 | 10 |
|---|
| Citation Flow (Majestic) | 23 | 35 |
|---|
| Referring domains (Majestic) | 127 | 201 |
|---|
Kamai
Overmind