AI-powered construction takeoff, estimating and BIM management software
Attentive.ai sells AI takeoff and estimating software to construction and field services firms. Its stack pairs PyTorch, TensorFlow, Hugging Face Transformers and OpenCV with mapping libraries OpenLayers and Leaflet, pointing to computer vision applied to both construction drawings and geospatial property data. Hiring is accelerating and engineering-heavy across India and the U.S., with active work on multi-modal vision-language models for plan interpretation.
Attentive.ai, founded in 2017 and headquartered in Wilmington, Delaware, builds software that automates construction takeoffs, estimates, bid management and BIM management. Its main product, Beam AI, serves estimators, contractors and suppliers working across more than 15 trades, offering both self-serve takeoffs and fully managed, QA-checked deliverables. The company reports over 1,200 construction businesses as customers in the U.S. and Canada, spanning segments such as paving, landscaping, snow removal and facilities maintenance. It is privately held with 201–500 employees and operates teams in the United States and India.
Attentive.ai uses React, Next.js and TypeScript on the front end, Python and Django on the back end, PyTorch, TensorFlow and OpenCV for AI, plus AWS, GCP, Azure, Kubernetes, Docker, Kafka and Jenkins.
Yes. Hiring is accelerating and engineering is the dominant focus, with additional openings in marketing, support, design, research and sales across India and the United States.
Current work centers on automated construction takeoff and estimation, ML/AI processing pipelines, deep learning and geoprocessing services, and multi-modal vision-language models for construction drawings.
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Attentive.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.