Our Story

A model that made everyone work harder for the same result

For decades, commercial cleaning ran on one sequence:

THE PROBLEM: dissatisfied client → complaint → late correction → damage already done.

It is worth being fair about why. Cleaning teams working that way are rarely lazy or careless — most are working hard. They are working from the only signal available to them, which is somebody being unhappy enough to say so. And by the time that signal arrives, the condition it describes has usually been true for days.

The industry adapted to the signal it had. Schedules were written once and rarely revisited. Quality control meant a walkthrough and a number in a monthly report. Everyone accepted that the client would be the detection system, and that a complaint was simply the cost of doing business.

The decision

Protex was built on the position that this was fixable, and that fixing it required changing the signal rather than trying harder against the old one.

That sounds obvious stated plainly. It is not cheap in practice. Working from measured condition instead of complaints means instrumenting buildings, scoring inspections rigorously enough to trend them, recording work at a granularity nobody asks for, and running software that the whole operation depends on. Each of those is real cost, and none of them is visible to a client comparing two proposals on price.

We took it anyway, because the alternative was a promise of “excellence” backed by the same mechanism everyone else uses — which is to say, backed by nothing.

What had to be true

Three things had to exist together, and any one of them alone would have failed:

Something had to read the building. Sensors counting real usage, not a floor plan and an assumption. That became Service Analytics.

Something had to turn readings into work. A prediction that produces a chart and no task is a dashboard. That became CleanVision — the platform that runs shifts, tasks, inspections and alerts on every contract.

The result had to be provable. Otherwise “proactive” is just a better adjective. That became Standards — scored inspections, per-area evidence, and a certification signed by both a supervisor and the client.

Together they are what we call Proactive Care: predict, detect, warn, clean ahead, verify, and respond to whatever still gets through.

What we are honest about

Prediction misses. New accounts have no history and run on conventional frequencies until they do. Irregular spaces — event halls, rooms booked at random — are read badly by any model and better by a supervisor who knows the building. Complaints still happen.

What changed is that a complaint is now treated as a failure of detection with a specific, fixable cause, rather than as an ordinary event to be apologised for. And the ratio between interventions we initiated and problems you had to report is a number we keep, because it is the only honest score of whether any of this works.

Who we look for

The model asks something of the client too. It works best with organisations that want to see the record rather than a summary of it — including the parts where we fell short. That is what the four values on Our Standards are describing, and it is why Our Mission is phrased as a cost rather than a boast.