Construction intelligence platform aggregating GIS, utility, and geotechnical site data
CivilGrid combines GIS, utility, and geotechnical datasets to help construction and engineering teams accelerate project planning and reduce research overhead. The tech stack—ArcGIS, QGIS, PostGIS, and mapping libraries (Mapbox, Leaflet)—reflects a geospatial-first architecture. Notably, the hiring mix is heavily sales-weighted (16 of 28 open roles), with product and data teams understaffed relative to the go-to-market push, suggesting a product-market fit validation phase focused on multi-year enterprise agreements and pilot KPI programs.
Notable leadership hires: Product Head
CivilGrid is a construction intelligence platform serving developers, engineers, and construction companies across the United States. The product aggregates GIS datasets, utility records, environmental data, and geotechnical information sourced through partnerships with local utilities and agencies. The core value proposition targets three pain points: reducing project research time, lowering project costs, and preventing costly dig-in incidents during construction. The company operates from San Francisco with 11–50 employees and is currently scaling sales and customer success capacity while executing pilot programs and multi-year enterprise contract negotiations.
CivilGrid's stack includes ArcGIS, QGIS, PostGIS, and AutoCAD for geospatial work, with Mapbox and Leaflet adopted for web-based visualization and mapping interfaces.
Active projects include multi-year enterprise contract negotiation, digitization of engineering record drawings, utility records markup and interpretation, and pilot KPI programs for corridor delivery and engineering metrics.
CivilGrid'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.