AI-powered takeoff software automating construction and field service estimating
Attentive.ai builds Beam AI, a computer-vision platform that automates takeoffs and material estimation for construction and field service businesses. The tech stack—Python, PyTorch, TensorFlow, OpenCV, with Kafka and cloud infrastructure—reflects a deep learning-first approach to visual document analysis. Active projects around multi-modal vision-language models and geoprocessing signal investment in handling the spatial complexity of construction sites, while the hiring mix (engineering-heavy, sales paired with support and product focus) and pain-point concentration on onboarding, adoption, and retention suggest a mid-market sales motion with embedded implementation friction.
Attentive.ai operates Beam AI, a takeoff and estimation platform used by 1,100+ construction contractors, subcontractors, and field service businesses across the U.S. and Canada. The product automates material quantification from blueprints and aerial imagery for trades including mechanical, plumbing, concrete, steel, electrical, roofing, and landscaping. It claims to reduce takeoff time by up to 90%, enabling sales and estimating teams to increase bid volume. The company is privately held, founded in 2017, headquartered in Wilmington, Delaware, and employs 201–500 people. It is backed by Insight Partners, Peak XV Partners, Vertex Ventures SEA, InfoEdge Ventures, and Tenacity Ventures.
Python, PyTorch, TensorFlow, Hugging Face Transformers, OpenCV for computer vision; Kafka and RabbitMQ for data pipelines; AWS and GCP for cloud infrastructure; Docker and Kubernetes for orchestration. Frontend: React and Next.js. Sales and ops tools: HubSpot, Slack, Jira, Google Workspace.
1,100+ construction and field service businesses across the U.S. and Canada trust Beam AI, including general contractors, subcontractors, suppliers, landscapers, paving companies, and facilities maintenance operators.
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