Nine production lines. Every result measured.
Anonymised plants on Augos Factory. Every number below comes from the platform, not from a survey.
What monitoring reveals when you leave it running
One line, watched continuously for four months. Planned downtime took a third of its time, and the trend kept surfacing slow drifts a one-off audit would miss.
Read the case study → Food and beverage · Beverage bottlerThe filler was not the problem
A beverage bottler blamed its filler for a line that kept stopping. The first month of monitoring showed 9,848 stops, nearly a quarter of paid time spent waiting, and an air-supply loss of over 34 hours.
Read the case study → Packaging and bags · Bag manufacturerThree shifts, one live board
A three-shift bag maker tracked output on paper, one number per shift. Demand was rising and nobody could say whether the machines had headroom. A live record of every stop answered it with data.
Read the case study → Food and beverage · FMCG packing site218,000 tiny stops, hidden in one bucket
No single breakdown, yet OEE sat at 26.5%. The losses were 218,000 interruptions lumped into one uncategorised bucket, until a change in data resolution made them visible.
Read the case study → Food and beverage · Grain milling operationFrom 3,000 vague stops to real reliability data
A mill logged 3,000 downtime events a month with almost no root-cause value. Re-linking every event to a specific asset cut recorded events to 445 and surfaced a single component behind 20% of downtime.
Read the case study →Want this for one of your lines? We show you what the first week of data would say about it.
Spotting a failing component before it broke
Total downtime on the line looked flat. Underneath, one cutting unit's mechanical losses rose 440% in five months, the signature of a component nearing end of life.
Read the case study → Food and beverage · Tea & spice packerOne failure code was halving a line's output
Three identical lines, one running at half the OEE of its sisters. The data traced the gap to a single recurring failure code costing 61 hours a month.
Read the case study → Food and beverage · Wine bottling & packing plantThe shared-tank bottleneck, in the data
Two packing lines fed by one tank. The data showed the filler starving while the boxing machine ran on, pinpointing a supply-synchronisation problem worth 30+ hours a month.
Read the case study → Paint and coatings · Paint & coatings manufacturerThe factory that wasn't broken
A plant reporting an alarming 16.46% OEE wasn't underperforming, it was being measured wrong. Reclassifying mislogged 'Power Off' time and correcting quality inputs lifted the true figure to 44.70% and exposed the real bottleneck.
Read the case study →See what your line would show in its first week.
A 30-minute call with a manufacturing specialist. We look at one of your lines together and show you where its hours go, and who can get them back.
- Live within 48 hours of your kit arriving
- One sensor, one terminal, no PLC and nothing to integrate
- R4,950 per line per month, ex VAT. 90 days, then a month's notice