Commercial hyperspectral satellite imagery for agriculture, energy, and mining
Pixxel operates a constellation of six commercial hyperspectral imaging satellites for Earth observation. The tech stack reflects dual-track complexity: geospatial processing tools (QGIS, ArcGIS, ENVI, Google Earth Engine) paired with aerospace engineering software (Creo, SolidWorks, Ansys, Simcenter) and web/backend infrastructure (Python, Django, React, AWS, PostgreSQL). Hiring velocity is accelerating with 18 engineering roles open, but pain points cluster heavily around payload quality, calibration precision, and aerospace compliance (ISO9000/AS9100), signaling a manufacturing-stage company managing the transition from development to production operations.
Pixxel is a space technology company based in El Segundo, California, operating a commercial satellite constellation for high-resolution hyperspectral imaging. The company sells Earth observation data and analytics to agriculture, energy, environment, and mining sectors. With six satellites in orbit, the operational focus spans mission planning, payload thermal design, pre-flight calibration, and quality assurance systems—typical of a company scaling from prototype to sustained production. Active projects include satellite production scheduling, ground support equipment development, and payload verification procedures, reflecting both spacecraft operations and supply-chain maturity.
Pixxel operates hyperspectral imaging satellites—six commercial spacecraft in orbit. The constellation delivers high-resolution spectral data for agriculture, energy, environment, and mining applications.
Pixxel uses C++, Python, MATLAB, and Java for processing; QGIS, ArcGIS, ENVI, and Google Earth Engine for geospatial analysis; and Creo, SolidWorks, Ansys for satellite mechanical and thermal design. AWS and PostgreSQL support backend infrastructure.
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Pixxel'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.