Nexa Geo provides an AI‑augmented platform that calibrates and validates raw satellite imagery from optical, SAR and multispectral sensors, delivering geometrically and radiometrically consistent geospatial products such as DEMs, 3‑D digital twins, and hazard‑monitoring feature layers. The modular toolkits can be deployed on‑premise or in the cloud and integrate via standards‑compliant APIs with GIS, BIM and risk‑analysis systems.
Funding
Funding not disclosed
Founders
Product
Problem
Satellite imagery often arrives as raw, uncalibrated data that lacks the geometric and radiometric consistency required for downstream analysis. Without rigorous validation and standardized processing, agencies and operators cannot reliably generate products such as DEMs, 3D models, or hazard‑assessment indicators, leading to delayed decision‑making and increased operational risk.
Solution
Nexa Geo delivers an end‑to‑end, AI‑augmented workflow that transforms raw Earth observation data into scientifically validated geospatial products ready for integration into GIS, BIM, or risk‑analysis platforms. The platform combines multi‑mission calibration and quality‑assurance pipelines with automated reference‑data generation, ensuring radiometric fidelity and geometric accuracy across diverse sensor constellations. Advanced digital‑twin generation modules reconstruct terrain and infrastructure in 3‑D, while AI‑driven object extraction creates ready‑to‑use feature layers for natural‑hazard monitoring. All processing chains are packaged as modular toolkits that can be deployed on‑premise or in the cloud, and results are exported via standards‑compliant APIs for seamless downstream consumption.
Target Audience
Primary customers are satellite operators, national space agencies, and public‑sector organizations that require calibrated EO products, as well as research institutes and infrastructure owners using GIS/BIM or hazard‑analysis platforms.
Features
- AI‑based calibration and validation engine supporting optical, SAR, and multispectral sensors with multi‑mission QA/QC automation
- Automated generation of reference datasets and ground‑control point networks using machine‑learning‑enhanced photogrammetry
- InSAR processing and DEM/DSM production pipelines delivering sub‑meter vertical accuracy
- 3‑D reconstruction and digital‑twin creation from heterogeneous EO archives, outputting industry‑standard CityGML and IFC models
- Advanced object detection and semantic segmentation pipelines for flood, landslide, and infrastructure monitoring
- Plug‑and‑play API layer (REST/OGC) for direct integration with GIS, BIM, and risk‑assessment tools, supporting FIPS and ISO 19115 metadata standards
- Modular workflow toolkits licensed for on‑premise deployment, with optional cloud‑hosted processing and scalable compute orchestration