Picterra

Picterra is a cloud-based GeoAI platform that empowers organizations to extract actionable insights from geospatial imagery. Its core value proposition is delivering scalable, accessible, and precise environmental intelligence, enabling users to monitor changes, detect specific objects or patterns, and make data-driven decisions for environmental protection, urban planning, and resource management without requiring deep expertise in machine learning or remote sensing.

Key features: The platform allows users to train custom object detectors using its intuitive interface, simply by drawing examples on satellite or aerial imagery. It supports the detection of diverse features, from counting individual trees and monitoring deforestation to identifying construction sites, solar panels, or vehicles. Users can process large areas by defining regions of interest and applying detectors across time-series data to track changes. The system also includes pre-trained detectors for common use cases and tools for visualizing and exporting results in various GIS-compatible formats.

What sets Picterra apart is its focus on making advanced geospatial AI accessible to domain experts rather than just data scientists. The platform's no-code approach to training custom models significantly reduces the barrier to entry. Technically, it leverages a combination of computer vision and machine learning models optimized for raster data. It integrates seamlessly with common data sources, allowing users to pull in imagery from providers like Airbus, Planet, and Maxar directly, or upload their own drone or satellite data, facilitating a streamlined workflow from data ingestion to analysis.

Ideal for environmental consultants, government agencies, NGOs, and companies in agriculture, forestry, and urban development. Specific use cases include monitoring illegal mining activities, assessing crop health and yield, managing natural resources, tracking urban sprawl, and conducting post-disaster damage assessments. It serves professionals who need to turn raw geospatial imagery into quantifiable, actionable reports and maps.

The platform operates on a freemium model. The free plan offers limited monthly credits for exploration, while paid tiers provide increased processing capacity, advanced features like API access and team collaboration, and priority support, scaling with the user's project size and frequency of analysis.