The systems already on your sites were commissioned for a reason. BeconixAI reads them without changing how they behave: read-only where that matters, listen-only on a fire panel, and never a write the certified system did not expect.
Everything the platform does passes through these four, in order. The rest of this page is what sits inside them.
Edge
Rugged units that speak to whatever is already installed, run on site power with battery backup, and buffer readings locally when the backhaul drops.
Normalise
Once a point is mapped, it lands with a consistent identity, unit and tag whatever system it came from. Analytics never has to care which vendor it originally belonged to.
Intelligence
The Anomaly Agent, Alarm Agent and FDD Agent work against that layer as readings arrive, each handing on what it found. A verdict carries the readings it was drawn from, so it can be checked rather than taken on trust.
Action
A confirmed finding becomes a work order in the same system, carrying its asset, its evidence and its SLA.
One is purpose-built to read a fire alarm panel without touching it. The other runs an open framework so the integration layer never becomes something only we can service. Both buffer locally, so a dropped link costs you nothing.
A portfolio generates millions of readings a day and expects a year of history to come back instantly. That shapes every decision underneath.
A native app for iOS and Android — not a shrunken desktop page. The people who actually close the work are rarely at a desk, so the field experience carries the parts of the platform they need.
MRActive alarms 4
Every estate is different, so a number from someone else's building is not a forecast for yours. A pilot baselines your sites first, and every claim after that is measured against it.
The interesting question is not whether the platform demos well. It is whether it can read the panel nobody has been able to read, on the site with the worst connectivity. That is the pilot worth running.