Pierrick Poulenas
CEO and Co-Founder
Picterra
The startup develops a geospatial mapping platform that utilizes artificial intelligence to automatically process and analyze satellite and aerial imagery. This technology enables clients to extract actionable insights and monitor environmental changes, enhancing decision-making in various industries reliant on earth observation data.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 21 months ago
Funding
Raised to date
$10.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Organizations across industries struggle to efficiently extract actionable insights from the growing volume of geospatial imagery obtained from satellites, aerial platforms, and drones. Traditional methods of geospatial analysis are often complex, time-consuming, and costly, requiring specialized expertise and manual processing. This makes it difficult to scale analysis and monitor changes effectively.
Solution
Picterra offers a cloud-native GeoAI platform that simplifies the process of building and deploying custom AI models for geospatial analysis. The platform enables users to detect objects, patterns, and changes in geospatial imagery with unprecedented speed and accuracy. By leveraging a no-code approach and a user-friendly interface, Picterra empowers organizations to transform raw geospatial data into actionable intelligence, automate hazard detection, enhance safety, optimize operations, ensure compliance, and drive sustainability initiatives.
Target Audience
Picterra serves professionals across industries such as mining, FMCG & commodities, forestry, agriculture, infrastructure, and government who need to extract actionable insights from geospatial imagery to drive innovation, ensure compliance, and promote sustainability.
Features
- Scalable AI model production, transforming months of work into days
- Smart annotation toolkit and intuitive UI to reduce training data requirements
- Ability to run country-scale analysis in hours
- Cost-effective solution that eliminates the need for expensive data science services
- Capability to analyze and consolidate EO imagery from satellite, drone, and aerial sources in one platform
- Processing of optical RGB and multispectral imagery, including false color, thermal, SAR, NIR, and height maps
- Direct imagery upload via web interface or import from local server, cloud storage, or ArcGIS Image, WMS and XYZ servers
- Advanced GIS pre-processing and post-processing tools
- Access to advanced detector settings
- Auto-scaling on cloud infrastructure
- Detector training report and accuracy score
- Single or multi-class detector workflows
- REST or Python API for integration with existing applications