INDUSTRY PRACTICE
EVERY LOSS IN YOUR PLANT
WAS IN THE DATA FIRST
THE NEED
The signals show up in the process before they show up in the result: in vibration, in temperature, in consumption. The plant already recorded them; what is missing is the prediction. We build the models that produce it and stay with them until the operation uses them.
WHERE WE WORK
PREDICTIVE
MAINTENANCE
- Failure prediction and remaining useful life
- Turbines, compressors, heat exchangers, pumps
QUALITY AND
YIELD
- Defect detection before the next process step
- Automated visual inspection and process variability control
THROUGHPUT AND
ENERGY
- Set-point optimisation and virtual sensors
- Energy and fuel per unit produced
SAFETY AND
COMPLIANCE
- Unsafe conditions and critical-sensor anomalies
- An auditable trail behind every alert
PLANNING AND
SPARES
- Demand forecasting and spare-parts inventory
- Scheduling under real capacity constraints
HOW WE ENGAGE
01
INDUSTRIAL ASSESSMENT
3 to 4 weeks · fixed price
02
USE-CASE POD
10 to 12 weeks
03
PILOT AND DEPLOYMENT
6 to 8 weeks
04
RUN AND IMPROVE
ongoing
Modular by design: each stage builds on what the previous one measured and validated, so scope grows with the evidence.
SOME OF OUR CLIENTS
Why Collective
PHYSICS
IN THE MIDDLE
- Physics PhDs and applied mathematicians on the account
- Engineers who understand the process before they model it
- Agentic development, evaluation harnesses and production MLOps