See inside your equipment. Run your plant at its physical best.
Your plant is losing energy, yield, and uptime — but operators can't act on it.
Equipment Overcleaned
Cleaning cycles run on fixed timers, regardless of the equipment state.
Heat badly recovered
Heat exchangers foul silently, and energy goes up.
Reactors underperform
Transformation steps run on worst-case conditions setpoints.
Equipment siloed
Operations are optimized in sub-units, not at plant level.
Physics models. Sensor data. Machine learning.
One operations brain.
Connect
Retrieve plant data in real time from your historian, SCADA, MES, CMMS.
Model
Each equipment gets a physics-informed AI model, calibrated to plant data.
Recommend
Operators get actionable guidance that improves operational performance.
Learn
Models improve continuously with new plant data and operator feedback.
Compliance by design
·On-premise compute·Data security (ISO 27001)·Full auditabilityAlready deployed today,
and delivering savings.
More are in active development. Tell us your problem →
Clean-in-Place in food & beverage plants.
Optimize when and for how long to clean, replacing fixed timers with real-time fouling-aware logic while meeting quality constraints.
Fouling in heat-intensive plants.
Model the fouling of thermal equipment (heat exchangers, boilers) to plan maintenance better and reclaim the energy quietly slipping away.
Wherever physics moves and transforms matter, we're useful.
Dairy Processing
Brewing & Beverages
Starch & Sugar
Specialty Chemicals
Pulp & Paper
Refining
Let's see what your plant is leaving on the table.
We reply within 48h with a short scoping note and proposed pilot shape.
Built by operators and researchers from the process industry.
20+ years of experience in the Process Industry
PhDs from leading universities
Incubated at a leading start-up studio
