The same engineers who take EU research projects to TRL 8 build production systems for industry clients: banks, manufacturers, utilities, logistics operators and public organisations. Fixed scope or embedded team, on-premises or EU cloud.
Every engagement ships with the same engineering standard as our research work: documented, tested, containerised, monitored and yours to keep.
Vision, NLP and forecasting models built for your data and constraints, taken from proof-of-concept to monitored production, not left as a notebook.
Sovereign RAG assistants over your documents, fine-tuned open-weight models (LoRA/DPO), agent workflows with human oversight, plus the evaluation harness that proves they work.
Executive dashboards and operational DSS: forecasting, anomaly detection, alerting and what-if simulation, designed so decisions actually change, not just charts.
Image recognition and object recognition for quality inspection, safety and monitoring, optimised with TensorRT and deployed on NVIDIA Jetson at the line.
ROS 2 robotic cells, vision-guided picking and manipulation, AMR fleets, all validated in simulation before they touch your floor.
Live 3D twins of assets and processes, fused from PLC/SCADA, IoT and vision data, with predictive maintenance and energy optimisation on top.
Immersive operator training, AR remote assistance and interactive 3D visualisation connected to live plant data, built on open standards (WebXR, glTF).
Tamper-evident audit trails for models, datasets and automated decisions; data-integrity anchoring and smart-contract workflows for multi-party processes.
CI/CD for ML, drift monitoring, model documentation and GDPR / EU AI Act compliance engineering, so your AI survives audits as well as load.
Defined deliverable, timeline and budget. Best for a first system: a pilot line deployment, an assistant, a dashboard suite.
2–4 weeks: we test your idea against your real data and return a working prototype plus an honest go/no-go recommendation.
Our engineers inside your roadmap on a retainer, from architecture reviews to hands-on delivery and knowledge transfer.
The same TRL discipline we apply in research projects, compressed for industry: measure the baseline first, prove value on real data, deploy in rounds, and hand over a documented, monitored system your team owns.
Send a short description of your use-case and data situation; we reply within two working days with a concrete approach.