Built for enterprise scale. Backed by years of geospatial and AI expertise. Picterra’s pioneering GeoAI powers mission-critical monitoring and compliance across land, supply chains, and ecosystems.
Import satellite, drone, and aerial imagery from cloud storage and imagery servers. Ingest plot data from CSV, GeoJSON, or KML. Consolidate fragmented ESG, farm, and supplier data.
Turn fragmented geospatial data into continuous environmental intelligence. Automate analysis at scale, and adapt instantly to growing demands without relying on large GIS or data science teams.
Flexible options to meet your data and sovereignty needs with enterprise-grade reliability and uptime.
Hosted on Google Cloud, regularly audited and pentested by external vendors such as Cobalt, CyberVadis, and CyberEssential.
Use REST or Python API to automate workflows, connect with traceability platforms, or build custom dashboards using Picterra’s GeoAI analysis engine.
Process over 2,000 plots per minute with 99.994% uptime. Scalable architecture ensures speed and consistency even at national or global scale.
Work with multi-GB files, ingest from remote servers, and visualize large volumes of imagery and shapefiles without lag or data loss.
Reduce model development time by 95 percent, training data needs by 99 percent, and total costs by up to 90 percent. Scale analysis 50 times faster than traditional methods.