Built for the factory floor,
by the people on it.
Jemba is industrial machine learning made for the 99% of plants that don’t have a data-science team — from the makers of TeepTrak, already trusted on production lines worldwide.
Industrial AI, finally built for the floor.
The best of industrial AI has been sold as all-in-one platforms with year-long integrations and a data-science team to run them. That reaches the top 1% of plants and skips the other 99%. We think improving a production line should be a Tuesday afternoon, not a line in next year’s capex budget.
So we built Jemba to automate the whole machine-learning workflow — variable choice, preprocessing, model selection, calibration, drift, interpretation — and hand a process engineer the answer in the operator’s language. No data scientist required, connected to the machines, sensors, CSV or API you already run.
Only 2.4% of factories have reached
real AI maturity. We’re closing the gap.
The technology works — it just wasn’t built for the floor. Jemba reuses the data you already generate, with no plant overhaul, so the other 99% can put ML to work this week.
Source: OSS Ventures, “The Industrial AI Gap” — 914 on-site factory diagnostics.
Trusted on the floor by 450+ factories.
Jemba is built by TeepTrak — the production-monitoring platform manufacturers already run on the line. You’re not betting on a new tool; you’re building on a base that’s already proven across 30+ countries.
Three commitments we don’t compromise.
Open connectivity
Machines, sensors, CSV or API — legacy equipment included. Jemba fits the stack you already run, not the other way round.
Made for the shop floor
Designed for factory managers and process engineers, not data scientists. It speaks the operator’s language.
Low friction
No IT project, no year-long rollout. A fast, measurable P&L impact — in weeks, not budget cycles.
Questions we hear on the floor.
What is Jemba?
Jemba is an industrial machine-learning platform by TeepTrak. It detects anomalies before failure, correlates quality defects to their root cause, monitors energy and explains OEE — built for the shop floor, not a data-science team.
Do I need a data scientist to use Jemba?
No. Jemba automates the entire ML workflow, so a process engineer gets a prioritized, apply-ready recommendation in the operator’s language — no modelling expertise needed.
How long does it take to set up?
About 48 hours. You connect your machines, sensors, CSV or API — legacy equipment included — with no plant overhaul and no IT project.
What can Jemba do?
Two ML algorithms across four use cases: predictive maintenance, quality correlation, energy monitoring and OEE optimisation — each returning a costed, ranked action.
Who is Jemba for?
Manufacturers who don’t have a data-science team — the 99% of plants that industrial AI’s heavyweight platforms have skipped.
Improving a line shouldn’t wait for next year’s budget.
Book a 15-minute demo or start a free trial. 48-hour setup, no data scientist required.
