Distribution transformers are the quiet backbone of the grid. They run for decades with almost no attention, and then they fail expensively. When a transformer overheats, sheds insulation oil, or drifts out of its normal load envelope, the first sign operators usually get is the outage itself. By then the cost is already paid: lost supply, emergency call-outs, and energy bled away as heat in the weeks before anyone noticed.
HOOTS sensorsystems builds the sensing hardware that reads these machines: temperature, load, vibration and electrical signatures, sampled continuously in the field. The data was there. The problem was that it sat in streams that were hard to read together. A rising trend on one transformer looked the same as normal seasonal load until it was too late.
HOOTS needed the raw telemetry to become a clear, ranked picture of which assets were drifting toward trouble.
That is exactly the problem puniq is built for. We treat a fragmented sensor fleet the same way we treat a fragmented building: many signals, many protocols, no single readable layer. The fix is not more hardware. It is making the existing measurements speak one language.