Most OEE tools give you a number. Jemba sits on top of the TeepTrak stream and explains it — which losses, which lines, which causes — then ranks the fixes by impact so the next percentage point isn’t a guess.
Availability, performance and quality each hide a dozen causes. Knowing the score doesn’t tell you whether to chase micro-stops, a slow changeover or a quality drift first. Jemba decomposes the losses and ranks them by recoverable output, so the improvement backlog writes itself.
Built on the TeepTrak stream you already run, Jemba attributes every OEE point lost to a cause and a line — and tells you which fix returns the most output.
Jemba is built by TeepTrak — the production-monitoring platform manufacturers already run on the line, proven across 30+ countries.
Build on the TeepTrak OEE stream you already run.
Jemba attributes each lost point to a cause and line.
Fixes ordered by recoverable output.
Work the backlog; track the gain live.
Flag anomalies before failure in under 2 seconds, with no data scientist.
Find the root cause of defects in minutes by isolating the parameters that drive quality.
Model consumption against production to expose waste and make energy controllable.
Book a 15-minute demo or start a free trial. 48-hour setup, no data scientist required.
It connects availability, performance and quality losses to their root causes, so you fix the few things that move OEE the most.
No. It complements your MES or historian by adding ML-driven root-cause analysis on top of the data you already collect.
Micro-stops, speed loss, changeover drift and quality-linked slowdowns — ranked by their impact.
About a 48-hour setup, with prioritized recommendations following once your data is connected.