Machine Learning · Built for Factories

Your factory runs on data.
Now make it run on Intelligence.

JEMBA is an open, affordable Machine Learning platform built by manufacturers, for manufacturers. Detect anomalies. Optimise production. No data science expertise required.

Machine Learning Monitoring

LIVE
Motor Vibration (mm/s)
2.4
Temperature Delta (°C)
−0.48−0.16
Anomaly Score Aggregated
40
Pressure Sensor (bar)
−0.080−0.25

Anomaly Detection

REAL-TIME
⚠️ Anomaly Detected
Horizontal guide sensor reports mechanical shock.
Anomaly Score: 5.24
Dec 21, 18:34:00
Vertical Acceleration (m/S²)
X: −0.18Y: 0.22Z: −0.16
Horizontal Acceleration (m/S²)
X: −0.08Y: 0.12Z: −0.25
360+
Factories Deployed
30+
Countries
99.7%
ML Detection Rate
<2s
Response Time

See How JEMBA Transforms Your Factory Data

Process thousands of variables in seconds. Identify the 10 key drivers that explain 80% of your performance issues.

Data Import
CSV, API, TeepTrak live feed
Auto Training
No data scientist needed
ML Predictions
Anomalies detected in real time
Optimisation
Precise parameter recommendations
Live Dashboards
Any device, any time
700+
variables
10 key drivers → 83% explained
Parameter Setting92%
Flow Rate74%
Temperature61%
Vibration48%
ML Optimisation Result

Built by factory people, for factory people.

JEMBA is a Machine Learning platform designed for non-experts, capable of processing vast volumes of industrial data. We've built it open and grounded in real factory reality.

Data can be collected in real time from TeepTrak solutions, or integrated directly via file import or third-party API connection.

Factory-First
Designed for the shop floor, not a lab. No PhD required.
Truly Open Platform
Connect any data source via CSV, API, or TeepTrak direct feed.
Global Data
360+ factories, 30+ countries — battle-tested at scale.
360+Factories
30+Countries
4Continents
2+Years

Analyze your data in four steps

From raw industrial data to actionable ML insights. No configuration complexity. Human-readable results from the first run.

A
Data Collection
CSV / File Import
TeepTrak Live Feed
API Connection
B
Project Creation
Select Target Variable
Choose Algorithm
Configure Parameters
C
Training
ML Model Auto-trains
Real-time Predictions
Anomaly Detection Active
D
Results
Dashboard Insights
Recommendations
Measurable ROI

One platform, multiple use cases

Two powerful ML algorithms covering the full spectrum of industrial optimisation needs.

Predictive Maintenance

Detect equipment anomalies before they cause downtime. Alert your team before failure happens.

Quality Correlation

Identify which process parameters drive quality defects. Fix root causes, not symptoms.

Energy Monitoring

Correlate energy consumption with production output. Find waste and optimise usage automatically.

OEE Optimisation

Move from measuring OEE to understanding it. JEMBA explains the why behind every loss.

See How a Global Manufacturer Increased Yield from 30% to 80%

A Tier-1 automotive supplier deployed JEMBA across 12 lines in 6 months. By correlating 700+ process variables, they identified 4 critical parameters responsible for 83% of their yield losses.

58%Scrap reduction
80%Yield increase
2.7×ROI year 1
18Weeks to deploy
Request Case Study
Global Tier-1 Automotive Supplier
Yield Improvement
30% 80%
↑ 50pp yield gain
−58% scrap
18 wk deployment

Real impact from day one

Measurable results within weeks of deployment, not months.

−35%
Production downtime
−22%
Scrap & rework costs
−20%
Energy waste
4 wks
Average time-to-first-insight

We deployed JEMBA across 12 lines in 6 months. We saved over two million euros in the first year — with zero data scientists on staff.

VP of Operations

Global Tier-1 Automotive Supplier, France

Ready to transform your production data?

Join 120+ manufacturers already using JEMBA. Free trial — no credit card, no data scientist required.

No credit card required · Setup in 48h · Full onboarding included