AI-native capability applied across all verticals: point cloud intelligence, satellite and imagery analytics, and predictive spatial modelling, with every AI output validated by domain experts.
Satellite imagery, LiDAR, sensor feeds and machine data are usually bought and collected but never unified into one operational view, and raw AI output on a spatial dataset is a liability, not an answer, without a domain expert checking it.
AI-automated LiDAR classification: ground, vegetation, buildings, power lines. 500 km classified in 4 days at 97.2% accuracy.
Change detection, land use classification, and object detection from satellite and drone imagery. Combined with IoT ground-truth for validated results.
Flood, wildfire, subsidence risk models. Fed by real-time IoT sensor data for continuous prediction updates.
Custom models trained on your data, ingesting real-time IoT streams for continuous inference. Versioned, monitored, served at scale.
AI analytics on agricultural machine data. As-applied vs prescription accuracy, compatible with John Deere, CLAAS, CNH, AGCO, Kubota.
Automated CRS detection, format conversion, topology validation, deduplication. AI-powered QA that catches errors before your clients do.
| Validation | Every AI output validated by domain experts |
|---|---|
| Deployment | Custom ML models, versioned and monitored, served at scale |
Review of your data sources and the classification or modelling problem, stack alignment, and where domain-expert validation sits in the loop.
SoW, milestones and validation criteria for the model, under an English-law contract.
Weekly demos, CI/CD and observability from day one, with every AI output checked by a domain expert before release.
Extend, retrain and iterate. You keep the model, the code and the team.
We build the spatial intelligence layer that turns IoT telemetry into map-based operational decisions. We do not sell IoT hardware.
Full-stack product engineering with a spatial core: we design the architecture, build backend and frontend, and ship to production, composing maps with spatial querying and publishing via OGC WMS/WFS.