Computer vision AI that turns blueprints into quotes in minutes.

Rebar is an AI operating system for commercial HVAC, electrical, and plumbing suppliers that uses computer vision to analyze construction blueprints and automate quote generation, reportedly reducing estimate time by 60 to 70 percent. Generating accurate quotes for commercial construction trades traditionally requires estimators to manually review blueprints, extract relevant specifications, and calculate material and labor requirements — a slow, specialized, and error-prone process that limits how many bids a supplier can respond to. Rebar applies computer vision specifically trained to interpret construction blueprints, automating much of this extraction and calculation process. The platform targets SMB and mid-market suppliers in commercial HVAC, electrical, and plumbing trades, and differentiates through its specific application of computer vision to the visual, document-heavy nature of blueprint analysis in these trades.

Compliance

SOC 2

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Key Features

  • Computer vision blueprint analysis: Uses proprietary computer vision AI to read and interpret construction blueprints, extracting relevant specifications without requiring manual review of every drawing.
  • Automated quote generation: Generates quotes based on extracted blueprint specifications, dramatically reducing the time estimators spend manually calculating material and labor requirements.
  • Trade-specific specialization: Built specifically for commercial HVAC, electrical, and plumbing trades, with computer vision models trained on the blueprint conventions and terminology specific to these disciplines.
  • Significant estimate time reduction: Reports reducing estimate preparation time by 60 to 70 percent, a substantial efficiency gain for suppliers needing to respond to multiple bid opportunities.
  • Proprietary AI models: Uses computer vision and AI models built specifically for blueprint interpretation, rather than adapting general-purpose document AI to this specialized visual analysis task.

Use Cases

  • For commercial trade suppliers responding to multiple bid opportunities: An HVAC or electrical supplier wanting to bid on more projects without proportionally expanding their estimating team uses Rebar to dramatically reduce the time spent on each quote, increasing bid capacity.
  • For suppliers reducing estimating errors: A plumbing or electrical supplier experiencing inconsistency or errors in manual blueprint-based estimates uses Rebar’s computer vision analysis to improve estimate accuracy and consistency across different estimators.

Pricing MODELS

Saas subscription

Pricing Summary

Rebar uses a custom SaaS subscription pricing model. Specific pricing is not publicly listed — suppliers contact the company directly for a quote.

Company Size Fit

Mid-market SMB

Technical Snapshot

API Available

Yes

LLM Provider

Proprietary

Open Source

No

Deployment Options

Cloud Saas

Notable Customers

Commercial HVAC, electrical and plumbing suppliers

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