The plant already knows.
We read the process data a plant records every second, find what drives quality, energy and downtime, and turn it into warnings the operators trust.
Generic predictive models drift with the process.
A furnace, a line or a cell behaves in its own way, and a model trained on someone else's plant learns the wrong lessons.
We start from your own measurements, find the precursors that come before a deviation and keep every alert traceable to the signal behind it, so the operators can check it for themselves.
What we do.
- Root cause
- A ranked list of what drives a deviation, traced back to the raw signal.
- Early warning
- Warnings built from the precursors your own process shows.
- Energy
- Where the energy goes, per line and per product.
- Consoles
- Internal tools for the people who run the plant, built and run by us.
What is behind it.
Other industries.
- Mining and mineralsThe cause of a loss, found in the data the mine already records.
- Energy and gridSignals in generation and grid data, and the digital side of energy companies.
- Maritime and subseaInfrastructure at sea, watched from orbit.
- Property and housingOne system for the whole lease, from listing to settlement.
- Tourism and destinationsBooking and guest systems for resorts and destinations.
- Sports and fitnessPlatforms for gyms and clubs, with members, booking and payments.
- Retail and commerceStores for businesses and consumers, connected to the ERP.
- Unions and organisationsBoard work, minutes and an intranet for elected representatives.
- Public sector and educationA European workplace for municipalities and schools.
