Technologies

Four cores, one method

From physical signal to decision: sensing, quantum simulation, digital twins and optimization converge into a single R&D flow.

Turning physical chaos into structured data.

Intelligent instrumentation
Design and integration of sensors to measure physical quantities with laboratory precision.
Sensor fusion
We combine multiple signal sources into a single, robust and reliable reading of reality.
Embedded AI (edge AI)
Models running at the point of collection, in real time, without depending on a continuous connection.
Data at the point of decision
Real-world signals turned into structured data exactly where the decision happens.

Navigating the unreachable before spending a single resource.

Materials simulation
Computational chemistry and materials modeling to discover properties before the physical experiment.
Combinatorial optimization
We explore solution spaces that are intractable for classical computing with quantum-inspired algorithms.
Quantum-ready
Algorithms ready today on classical hardware and prepared for tomorrow’s quantum hardware.

Calibrating the future in the virtual, before the real.

Living digital replicas
Digital models of physical systems, fed by sensors and refined by AI in real time.
Failure anticipation
We detect stresses, fatigue and potential failures before they become downtime in the real world.
Scenarios tested in the virtual
We test extreme scenarios and calibrate systems without operational risk or physical cost.

Turning infinite complexity into concrete action.

Decision engines
Where sensors, simulation and AI meet: complexity converted into recommended action.
Resource allocation
Optimal distribution of assets, capacity and inputs under real operating constraints.
Design of experiments
Less trial and error: we define the experiments that learn the most at the lowest cost.
Process control
Continuous adjustment of physical processes from data and simulation in a closed loop.