Jemba is the industrial machine-learning platform from TEEPTRAK — bringing enterprise-grade AI to the factory floor without the enterprise complexity.
Jemba was born from a simple observation: Hersteller generate enormous volumes of production data, but very few have the tools or expertise to turn that data into actionable intelligence.
As part of the TEEPTRAK group — which has spent years helping Hersteller digitise and optimise their operations — we saw first-hand that the biggest barrier to industrial AI was not the technology itself, but the complexity of using it.
So we built Jemba to be different. Open. Affordable. Designed so production engineers, not data scientists, can train and deploy machine-learning models on their own factory data. No coding, no PhD, no six-figure consultancy fees.
Today, Jemba is deployed across 450+ factories in 30+ Länder, helping 120+ Hersteller reduce downtime, cut waste, and improve quality — with measurable ROI.
Every feature we build starts with a real problem from a real factory. We do not chase trends — we solve manufacturing challenges.
No vendor lock-in. Works with your existing systems. Your data stays yours. We believe openness builds trust — and better products.
4 continents. 30+ Länder. From small single-site operations to multi-plant global Hersteller — we scale with you.
Join 120+ Hersteller already using Jemba. Kostenlos testen — keine Kreditkarte, kein Data Scientist erforderlich. Einrichtung in 48h, vollstandiges Onboarding inklusive.
Industrial expertise meets data science — building the ML platform factories actually need.
CEO & Founder
Engineer and entrepreneur. Founded TeepTrak to bring real-time production intelligence to factories, and created Jemba to make industrial ML accessible without data science teams.
COO
Oversees operations, product delivery, and customer success. Ensures Jemba deployments run smoothly across global manufacturing sites from onboarding to production.
Global CMO
Leads Jemba's international go-to-market strategy across 30+ countries. Responsible for brand, demand generation, and partnerships in the industrial technology space.
Chief Data Scientist
Architect of Jemba's ML engine. Designs the algorithms behind multi-variable process optimisation and real-time anomaly detection for complex industrial environments.
