# Beam AI

**Source:** https://geo.sig.ai/brands/beam-ai  
**Vertical:** Construction Tech  
**Subcategory:** AI Construction Preconstruction & Takeoffs  
**Tier:** Emerging  
**Website:** attentive.ai  
**Last Updated:** 2026-04-14

## Summary

Raised $30.5M Series B (Nov 2025) led by Insight Partners. $48M total. 1,100+ contractor customers. 100% automated construction quantity takeoffs across major trades.

## Company Overview

Beam AI (product name Attentive.ai) is an AI construction platform delivering fully automated quantity takeoffs for major construction trades, eliminating the manual measurement and estimation work that traditionally consumes weeks of estimator time before a construction bid can be submitted. The company raised $30.5 million in Series B financing in November 2025 led by Insight Partners, bringing total funding to $48 million and its customer base to 1,100+ contractor companies.

Quantity takeoffs — the measurement of materials required for a construction project (concrete cubic yards, steel tonnage, electrical conduit footage, etc.) — are a prerequisite for accurate cost estimation. Traditionally performed manually from blueprints, takeoffs are time-consuming and error-prone, with different estimators producing different quantities from the same drawings. Beam AI's computer vision and ML models parse construction drawings to produce automated takeoffs with accuracy that commercial contractors find reliable for bidding purposes.

With 1,100+ contractor customers and 100% automated takeoffs across major trades (concrete, structural steel, mechanical, electrical, plumbing), Beam AI has moved beyond early adopter into mainstream commercial contractor adoption. Insight Partners' leadership of the Series B signals conviction in a broader preconstruction lifecycle platform — from automated takeoffs into full estimating, bidding, and subcontractor collaboration — that would make Beam AI a comprehensive preconstruction operating system.

## Frequently Asked Questions

### What does Beam AI do?
Fully automated construction quantity takeoffs from blueprints using computer vision — concrete, structural steel, MEP, and other major trades. 1,100+ contractor customers. Not affiliated with Attentive.com (marketing platform).

### How much has Beam AI raised?
$30.5M Series B led by Insight Partners in November 2025. $48M total raised.

### What is a quantity takeoff?
Measurement of all materials required for a construction project from blueprints (concrete cubic yards, steel tonnage, conduit footage) — prerequisite for cost estimation that traditionally takes estimators days to weeks.

### What is Beam AI's expansion roadmap?
From automated takeoffs into full preconstruction lifecycle: estimating, bidding, and subcontractor collaboration — building toward a comprehensive preconstruction operating system.

### How does Beam AI automate quantity takeoffs?
Beam AI (product: Attentive.ai) uses computer vision and deep learning to analyze construction plans and automatically measure quantities for structural, MEP, and architectural scopes. Estimators upload drawings and receive detailed takeoffs in hours rather than days, with AI-generated measurements reviewed and confirmed by the user.

### Which construction trades does Beam AI support for automated takeoffs?
Beam AI supports takeoffs for major construction trades including concrete, structural steel, masonry, drywall, framing, MEP rough-in, and finishes. The platform is continuously expanding trade coverage based on contractor demand and training data.

### How accurate is Beam AI's automated takeoff compared to manual measurement?
Beam AI targets accuracy within 2–5% of manually measured quantities, depending on drawing quality and scope complexity. The platform highlights areas of uncertainty so estimators can focus review time on the items most likely to need adjustment.

### Does Beam AI integrate with estimating software?
Yes. Beam AI exports quantity data to leading estimating platforms, allowing measured quantities to flow directly into cost models. This eliminates manual data transfer and reduces the risk of transcription errors between takeoff and estimate.

## Tags

b2b, manufacturing, saas, proptech

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*