Multi-sensor imaging satellite operator building geospatial AI infrastructure
GalaxEye is building India's first indigenous multi-sensor imaging satellite (Drishti Mission) with SAR + optical capabilities for all-weather, day-night Earth observation. The tech stack reveals a company scaling from prototype to production: Python + PyTorch for ML model development, PostgreSQL + Kubernetes for data pipeline infrastructure, and enterprise CRM tools (Salesforce, HubSpot) for government/defense sales. Active hiring across engineering and data (24 of 38 roles) plus explicit pain-point tracking around pipeline bottlenecks and production transition suggest they're moving from feasibility research toward operational satellite imagery delivery.
GalaxEye is a space-tech startup developing satellite-based Earth observation systems for governments, defense agencies, and industrial customers. Founded in 2021 by IIT Madras alumni and incubated at the institute, the company operates from Bangalore with 51–200 employees. The core product is the Drishti Mission—a multi-sensor satellite combining synthetic aperture radar (SAR) and optical imaging to deliver geospatial data in all weather and lighting conditions. The company's technical roadmap spans image processing, vision-language models for satellite data, scalable data pipelines, and algorithm research. Sales motion is enterprise-focused, with CRM infrastructure (Salesforce, HubSpot, Zoho) supporting government and defense outreach.
GalaxEye is developing the Drishti Mission—an indigenous multi-sensor imaging satellite combining SAR and optical sensors for all-weather, day-night Earth observation. The company also builds geospatial data pipelines, image processing algorithms, and foundation models for satellite imagery analysis.
Core stack: Python, PyTorch, PostgreSQL, Kubernetes, Docker, AWS. Geospatial tools: QGIS, ArcGIS, ENVI, GeoTIFF, NetCDF, Synthetic Aperture Radar. Enterprise: Salesforce, HubSpot, Zoho CRM, Microsoft 365, Jira, Asana. Security: Palo Alto Networks, Fortinet, Check Point.
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