AI software,
built to ship.
Research-grade models are the easy part. We build the systems around them — pipelines, evaluation, monitoring, the deployment that survives contact with real data — so what we deliver runs in production, not just in a notebook.
LLM & Generative Systems
Retrieval-augmented assistants, document intelligence, and agentic workflows — built to run on your own sovereign infrastructure, not someone else's API.
Computer Vision & EO Analytics
Earth-observation pipelines, change detection, and image segmentation for environmental monitoring on Copernicus and Sentinel data.
Geospatial & Data-Space Apps
Applications on the Copernicus and Mobility Data Spaces — federated, standards-compliant, and ready for EU data-sharing frameworks.
MLOps & Model Operations
Training orchestration, versioning, evaluation harnesses and drift monitoring — the unglamorous discipline that keeps models trustworthy over time.
Data Engineering & Pipelines
Ingestion, transformation and feature stores that turn messy, multi-source environmental and industrial data into something a model can learn from.
Decision Support & Optimisation
Forecasting, routing and resource-allocation engines for circular supply chains, mobility and energy — optimisation with a measurable footprint.
Scope → ship → operate
No magic. Just
a tidy toolbox.
Open, portable, audit-friendly. We avoid proprietary lock-in so a funded result stays exploitable long after the project closes.