Bobyard uses computer vision and NLP to automate construction cost estimation. The stack—React, Django, PostgreSQL, AWS, GCP—supports a core ML inference product, while hiring velocity is accelerating across engineering and sales (16 roles posted in the last 30 days). Internal pain points center on scaling infrastructure to handle demand and building GTM systems, suggesting the product has moved past early validation and into go-to-market scaling.
Bobyard automates the construction takeoff process—the labor-intensive step of measuring and estimating material costs from plans and site data. The company applies computer vision and NLP models to compress this workflow from hours to minutes, targeting construction firms and estimators. Based in San Francisco with 11–50 employees, Bobyard is hiring across engineering, sales, marketing, and support, with active development on platform revamp, new product launches, and GTM infrastructure (HubSpot workflows, unified data ecosystem). Current operational focus includes customer adoption, infrastructure scaling, and retention expansion.
React frontend, Django backend, PostgreSQL database, AWS and GCP cloud infrastructure. Sales and GTM tools include HubSpot, Lemlist, and Zapier; analytics via Looker and Google Analytics 4.
San Francisco, California. All current hiring is in the United States.
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