Picterra
6.4/10Swiss GeoAI platform for training no-code deep learning detectors on satellite, aerial, and drone imagery, used for infrastructure inspection, land monitoring, and supply chain compliance.
Data last updated November 2026 · Our methodology
Overview
Picterra is a geospatial AI platform from Lausanne, Switzerland. Its main engine, Picterra Forge, lets GIS teams draw annotations on satellite, aerial, or drone imagery and train custom object and change detection models without writing code. The trained detectors can then run across an entire image library. Forge handles optical RGB, multispectral, thermal, SAR, NIR, and height-map imagery. It includes an annotation wand based on Meta's Segment Anything Model, accuracy scoring, confidence maps, quality control review, and shareable web reports. Infrastructure examples include crack assessment, inspecting railway bolts and clips, and detecting solar panels. In recent years the company has put more of its marketing toward environmental intelligence. Picterra Tracer and the Insights Hub cover EUDR deforestation compliance, carbon, crop yield, and regenerative agriculture for sourcing teams and government land agencies. Imagery can come from web upload, cloud storage, ArcGIS Image servers, WMS, or XYZ servers. There is a native ArcGIS Pro integration, REST and Python APIs, and FME workflows, and third parties also list QGIS and DroneDeploy connections. Picterra does not publish prices; independent directories describe pricing as custom and quote-based. Older self-serve tiers, starting at about 79 USD per month with megapixel processing quotas, appear only on aggregator sites. Picterra suits engineering, energy, and government teams that need custom visual detection over large areas. It is not an asset management or maintenance system. It has no work orders, sensor monitoring, or field app, and it does not mention LiDAR point cloud processing. Public security documentation and independent user reviews are both scarce.
Our Rating
Industrial & Infrastructure Software6.5/10
AI Software6.3/10
Who Picterra is best for
Good fit
Forge processes drone imagery and turns it into custom detections and shareable reports that can be delivered to clients.
Large customers use the auto-scaling cloud and country-scale analysis, and pricing is negotiated through sales.
Government agencies such as the UK RPA use it to monitor more than 130,000 km2 of land.
Less suited
Solar panel detection and infrastructure inspection are among the documented use cases.
Crack assessment and railway component detection show it can be used for inspecting civil assets.
Pros & Cons
Pros
- Users with no machine learning background can train custom detectors by annotating imagery in the browser.
- Accepts many imagery types: satellite, aerial, drone, multispectral, thermal, SAR, and height maps.
- Works with ArcGIS Pro and ArcGIS Image servers, has REST and Python APIs, and supports FME automation for scheduled detection runs.
- Auto-scaling cloud processing supports analysis across large areas, up to country scale.
- Results can be shared by link with people who do not have a Picterra account.
Cons
- No public pricing; the product is sold through sales and custom quotes.
- Recent marketing focuses on agriculture and EUDR compliance, so infrastructure inspection gets less product attention.
- No work orders, asset registry, sensor monitoring, or offline field app.
- Very few independent user reviews and no public security certifications.
- An aggregator notes that results depend heavily on the quality of the input imagery.
Key Features
Picterra Pricing
Custom / Enterprise
- Tracer compliance module
- Demo available on request
- Forge custom detector building
- Quote-based pricing through sales
Frequently Asked Questions
Picterra does not publish prices, and independent directories list pricing as custom and quote-based. Some aggregators still show older self-serve tiers starting at around 79 USD per month, but the vendor's site does not confirm these.
Yes. Forge accepts drone, aerial, and satellite imagery, including RGB, multispectral, thermal, and height maps.
Picterra has a native ArcGIS Pro integration and can ingest from ArcGIS Image, WMS, and XYZ servers. It also supports FME workflows and offers REST and Python APIs. Third-party listings also mention QGIS and DroneDeploy.
The Forge page does not mention LiDAR. The closest supported inputs are height maps and digital surface models.
No. Third-party listings show no mobile app, and Picterra runs as a cloud web platform.
The documentation lists CSV, KML, KMZ, GeoJSON, and Excel for Tracer data. Forge results can also be shared as web reports.
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