Takeoff & Estimating

Measure once.
Bid with confidence.

AI-powered takeoff for construction. Upload plans, detect rooms, build estimates — cloud-ready out of the box, with optional self-hosted AI for teams that want full control.

Barker plan viewer showing AI-detected room overlays on a floor plan

What's in the box.

Purpose-built tools for construction estimators. Not a generic spreadsheet with a plan viewer bolted on.

Digital Plan Takeoff

Upload plan sets. Navigate multi-page drawings, calibrate scale, measure directly on plans.

Precision Measurement

Area polygons, linear measurements, vertex snapping. Automatic SF, LF, and CY calculations.

AI-Powered Detection

One click identifies rooms and boundaries. Accept, adjust, or refine — every correction trains the model.

Assembly-Based Costing

Build assemblies layer by layer. Attach to conditions for instant quantities and cost rollups.

Multi-Tenant Platform

Teams, projects, org-specific pricing. Role-based access and audit logging from day one.

Estimate to Bid

Measured conditions to priced line items to total bid. Markup, OH&P, and export.

Barker estimate worksheet showing $242K total with line item costs

From Takeoff to Bid

Every square foot has a price.

From measured condition to priced line item. Assemblies, waste factors, and markup — the complete estimating workflow in one place.

  • Assembly-based costing with layer-by-layer material rollups
  • Automatic SF, LF, and cubic yard calculations at architectural scale
  • Markup, OH&P, and bid export — ready for the GC

AI That Learns From You

Correct it once. It never forgets.

Built on SAM 3, Meta's open-source segmentation model. Every polygon you adjust becomes training data for a model fine-tuned on your plan types.

  • Computer vision detects rooms and regions from architectural drawings
  • Every estimator correction becomes training data — the model learns your plan types
  • Continuous improvement: detect, correct, retrain, detect better

Your Data, Your Rules

Organizations control their training data. Keep corrections private to your org, or opt in to share with the platform — improving detection for everyone while maintaining full ownership of your data.

Private by DefaultOpt-in Sharing
Step 1
Upload Plans
Plan sets from any architect or GC
Step 2
AI Detects Regions
SAM 3 identifies rooms, zones, and boundaries
Step 3
Correct & Train
Your edits fine-tune the model for future projects
AI polygon curation showing raw vs curated vertices with accept and reject controls

Curate AI predictions. Accept, flag, or reject — every decision improves the model.

How It Works

Orchestrated, not monolithic.

Barker coordinates the workflow. AI agents — in the cloud or on your hardware — process plans by reading directly from storage. No bottleneck, no round-trips through the app.

Barker
Orchestrates the workflow
AI Agents
Cloud or your GPU
Cloud Storage
Plans live here
Agents access storage directly — no round-trips

Optional Self-Hosted AI

Go further with your own GPU.

AI detection works without any special hardware. But if you want faster inference, zero per-query costs, and full control over your models — plug in a GPU you already own.

Training pipeline showing connected NVIDIA RTX 5070 GPU agent

Optional: RTX 5070 connected. Inference in ~300ms.

Bring Your Own GPU (Optional)

AI detection works out of the box. Want faster inference and zero per-query costs? Connect your own hardware — workstations, servers, gaming rigs.

Iterative Learning Loop

Every polygon correction feeds back into model training. Weekly updates reflect real estimator expertise.

Open-Source Foundation

Built on SAM 3, Meta's open-source segmentation model. You own your training data, your fine-tuned models, and your edge.

Faster Takeoffs

AI detection eliminates hours of manual tracing.

Team Ready

Multi-tenant from day one. Org pricing, roles, audit trails.

Gets Smarter Over Time

Your corrections compound into a durable advantage.

Construction estimating, finally modern.

barker@merle.io