Every sector has its own data and its perennial problems
We work where timely data prevents a stoppage, a loss or an accident. These are the sectors we work in and what we measure in each one.
Industry
Stoppages nobody sees coming, forklifts and pedestrians in the same aisle, and tightening torques that leave no record.
What we measure
- Vibration, temperature and consumption of machines
- Stoppages, cycles and line availability
- Proximity between forklifts and people
Energy
Panels, wind turbines and buildings measured from the air and from inside; technicians trained in the installation’s twin.
What we measure
- Condition of solar panels and wind turbines
- Power consumption per line and per machine
- Humidity and temperature in structures
Agri-food
Silos, compost and produce measured without touching them; the warehouse kept safe.
What we measure
- Silo and tank levels
- Compost temperature, humidity and oxygen
- Product composition with hyperspectral imaging
Health
Physical and cognitive rehabilitation in virtual reality with a record of every session, and buildings people can find their way around unaided.
What we measure
- Gait, balance and reaction times
- Attention and memory
- Path and hits in each session
Public buildings
Hospitals, stations or museums where finding your way depends on seeing well, walking unaided or already knowing the building.
What we measure
- Floors, entrances and points of interest in the building
- Lifts, ramps and stairs on each route
- Destinations and routes inside the building
SolutionProductProject
In all of them, the same path: measure, understand and anticipate
What gets measured changes. The method doesn’t: first the data, then what it means and, finally, the decision before it is too late.
Sensors where they are missing, readings from what already exists
Machines, silos, rooftops, people or spaces: the data arrives in one place.
What each signal means
We separate what is normal from what is a warning: a start-up is not a fault, a trend may well be.
Decide before the stoppage, the loss or the accident
Alerts with a probable date and margin, not alarms once it has already happened.
If something in your company is measured, or should be, there is data warning you