Satellite and aircraft remote sensing for industrial emissions monitoring
GHGSat detects and attributes greenhouse gas emissions to specific industrial sources using satellite and airborne sensing. Its stack is heavy on geospatial tooling (Rasterio, xarray, GeoPandas, QGIS, OpenLayers, WebGL) alongside Airflow and dbt, pointing to a raster-to-insight data pipeline served through React web maps on AWS EKS. Current hiring is senior engineering only, in Canada, suggesting a lean team deepening platform capability rather than scaling sales.
GHGSat, founded in 2011 and headquartered in Montreal, Quebec, is a privately held emissions-monitoring company with 51–200 employees. It collects measurements from satellites and aircraft to locate emission sources and deliver actionable data to customers. Its focus areas include oil and gas, coal mining, energy and the energy transition. The company runs its data products on AWS with Kubernetes, Python services built on Django and FastAPI, and PostgreSQL and DynamoDB storage.
GHGSat uses Python, TypeScript, React, Node.js, Django, FastAPI, PostgreSQL, DynamoDB, Apache Airflow and dbt, deployed on AWS EKS with Docker, Kubernetes and Argo CD, plus geospatial tools like Rasterio, GeoPandas and OpenLayers.
GHGSat is headquartered in Montreal, Quebec, Canada, and its current hiring is concentrated in Canada.
Yes, GHGSat's open roles are in engineering and all at senior level, with steady hiring velocity focused on Canada.
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GHGSAT'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.