Picterra provides sustainability leaders with a Mission Control for Environmental Intelligence. Our GeoAI platform transforms satellite and drone imagery into continuous, verifiable insights across land, supply chains, and ecosystems.
Trusted by organizations including British American Tobacco, DEFRA, Walter Matter, and The Nature Conservancy, Picterra facilitates a shift from fragmented, delayed data to real-time environmental visibility.
Their cloud-native platform enables leaders to detect what matters, act earlier, and build evidence-based strategies. We make transparency and accountability a reality for global sustainability efforts.
Performance Score
A+
Geospatial Analysis Quality
Great
Interface
Responsive, User-friendly
AI Technology
- Machine Learning
- Computer Vision
- Deep Learning
- Geospatial Analysis
Purpose of Tool
Designed as a cloud-native platform to learn geospatial analysis
Compatibility
- Desktop Computers
- Laptops
- Mobile Devices
Pricing
Contact the team for pricing
Who is Using Picterra?
- Agriculture: Farmers and agribusinesses use it for crop monitoring and land management.
- Environmental Agencies: To track environmental changes, handle conservation efforts, and monitor wildlife habitats.
- Infrastructure Companies: Used for analyzing construction sites, mapping, and detecting infrastructure damage.
- Mining & Energy: For monitoring mining operations, exploration, and site management using satellite and drone imagery.
- Government & Defense: Agencies utilize it for land use analysis, urban planning, and monitoring security.
Custom AI Models
No-Code Platform
Automated Object Detection
Real-Time Monitoring
Geospatial Analysis
Data Integration
Scalable Solutions
Commercial Licensing
Is Picterra Free?
Yes! The platform offers a free trial to explore its basic functionalities. However, for more advanced features, you need to upgrade to premium plans. The paid plans come in three options, PRO, Business, and Enterprise. You can contact the team to learn more about pricing.
Picterra Pros and Cons
Works for small-scale projects to large, complex geospatial data analysis
Allows users to create tailored machine learning models for specific needs
Intuitive platform with no coding required to train models
Supports various data types, including satellite, drone, and aerial imagery
Suitable for multiple industries such as agriculture, mining, and infrastructure
Accuracy depends on the quality of the input data.
Might be expensive for smaller organizations or individuals with limited budgets.
