Drone-based site work intelligence for land development and grading
TraceAir turns weekly drone scans of jobsites into geo-referenced 3D models that developers, grading contractors and engineers use to track quantities and plan earthwork. A sales-led, accelerating hiring push centered on closing new logos and smoothing enterprise buying points to upmarket expansion, while engineering work on GIS/CAD data pipelines, GNSS rover integration and production AI features shows the product moving beyond imagery into a broader site data platform.
TraceAir Technologies is a Seattle-based construction software company founded in 2015, with 51–200 employees. Its platform gives construction teams online access to up-to-date site visuals and calculations built from commercial drone imagery processed overnight into geo-referenced 3D models. Tools are tailored to land developers, grading contractors, and geotechnical and civil engineers, including homebuilders such as Lennar and D.R. Horton. The product is built on TypeScript, React, Node.js and Python across AWS and GCP, with Maplibre for mapping and GNSS integration for field positioning. The company hires in the United States and Spain.
TraceAir builds with TypeScript, React, Node.js, Nest.js and Python on AWS and GCP, using MongoDB, DynamoDB, Docker, Kubernetes and Terraform, plus Maplibre for mapping and Salesforce, Salesloft and Totango for go-to-market.
Yes. Hiring is accelerating and weighted toward sales, with additional engineering and product roles, across the United States and Spain.
Current initiatives include an enterprise intelligence platform, AI-driven capabilities in production, data pipelines for GIS and CAD integration, aerial data acquisition and GNSS rover control installation.
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TraceAir Technologies'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.