Loss of digital sovereignty
Critical AI often runs on infrastructure Europe doesn't control.
Our answer: AI that runs locally, on infrastructure Europe can trust.
The challenge
Today's AI depends heavily on centralised cloud infrastructure. As AI spreads into every sector, this model is reaching its limits.
Rising energy use
Large data centres consume huge amounts of power.
Our answer: energy-aware scheduling, aiming for a 30% smaller footprint.
Delays and overloaded networks
Sending all data to the cloud slows down real-time decisions.
Our answer: decisions made on the spot, right where data is created.
Privacy risks
Moving sensitive data around increases the risk of exposure.
Our answer: AI agents share knowledge, not raw data.
Black-box decisions
It is often unclear how and why AI reaches a decision.
Our answer: explainable decisions, with humans always in the loop.
Our approach
ARGENTIC brings intelligence to where data is created, at the edge, through five building blocks.
AI that thinks locallyEdge intelligence
ARGENTIC packs advanced reasoning into small, efficient AI models that run directly on local devices, from industrial sensors to hospital equipment. Each agent makes decisions on the spot, adapting to speed, priorities and available power, while sensitive data stays on the device.
Sharing knowledge, not dataFederated learning
AI agents learn from each other without moving raw data. Using federated learning and shared knowledge graphs, organisations in different sectors can benefit from each other's insights while keeping their data private and under their control.
Smarter, greener computingEnergy-aware orchestration
Smart scheduling decides where each AI task should run, on the device, at the edge or in the cloud, based on speed, privacy and energy needs. The aim is faster responses and a 30% smaller energy footprint than cloud-only approaches.
Safe testing in virtual copiesDigital twins
Before AI agents act in the real world, they are tested in digital twins: live virtual copies of real systems. This allows real-time monitoring and safe experimentation in critical sectors, without putting people or operations at risk.
Humans always in controlTrustworthy governance
AI decisions can be traced and explained. People stay in the loop for important choices, an ethics board oversees fairness and transparency, and the whole system is designed to comply with the EU AI Act and GDPR.
How it works
ARGENTIC connects three layers of computing, from everyday devices to the cloud, so that every AI task runs where it makes the most sense.
Instant decisions, on the spot
Small AI agents run directly on sensors, machines, medical equipment and phones. They react in real time and keep sensitive data where it is created.
- Hospital monitors
- Farm sensors
- Factory machines
Agents that work together
Local servers and gateways close to the data. Here, agents coordinate with each other, share knowledge instead of raw data and handle heavier tasks quickly.
- Hospital servers
- Factory gateways
- Local networks
Only when it's really needed
Large data centres are used for training models, big-picture analysis and long-term storage, not for every single decision. This cuts energy use and dependence on remote infrastructure.
- Model training
- Large-scale analysis
- Long-term storage
Smart orchestration decides, task by task, which layer is best, balancing speed, privacy and energy.