Machine learning for the shop floor, without a data scientist.
Anomaly detection and process optimisation on the data your plant already produces. Two weeks to an answer, at plant scale, nothing installed on your network.
Two questions, answered from your own data
Anomaly detection
"What is going wrong?" Every signal is evaluated continuously. Thresholds, drifts and alarms are generated automatically, and each alert is linked to the variables that explain it.
Process optimisation
"How do we produce better?" The influence of each variable on your target is quantified and returned as setpoint ranges the line can use, not as models.
Written for the shop floor
Data from any source and format is ingested, cleaned and structured by Jemba. The model is selected automatically, trained in one click and checked for reliability before anything is shown.
Two weeks to a decision, one way or the other
Week 1 · Scope and data
One line, one target variable, one export. Jemba analyses your extract within a week, before any commitment on your side.
Week 2 · Models on your data
Results are reviewed with your process lead as they come in, on your lines and your history.
Then · A decision
A validated case, or a documented no that you keep. Either way you know what your data can and cannot tell you.
Results measured, not projected
Stops anticipated over six months on a 4-machine line of an aerospace and defence supplier, 45 % of the line total, from the run/stop log already collected. No new sensor, no work on the machines, confirmed by backtest.
Material transformation rate on a textile coil line of a rubber and polymer supplier: 977 columns reduced to 10 levers, 78.1 % in the recommended zone against 68.6 % over the whole history, measured on 33 runs the line had already made. Zero customer man-days.
Security and data
- Own servers in France and the United States, no third-party cloud subcontractor
- No customer data used to train models shared with other customers
- Permanent deletion of data and derived models on request
- SAML SSO and role-based access
Name a line and a target variable.
A TEEPTRAK engineer takes it from there: scope, export, first results within a week. Jemba is part of the TEEPTRAK group.