Point any phone camera at a generator's tag and a guided capture flow opens right in the browser. Snap one photo of the controller — LogIt extracts kW, volts, hours, and fuel. No app to install, no account, no clipboard.
Two moves in the field — scan the code, log the data. Clean, time-stamped records land on their own.
Point any phone at the unit's tag. The camera reads it and the guided capture flow opens instantly in the browser — nothing to install, no account.
Snap the controller screen — that's the whole job. LogIt extracts kW, volts, hours, and fuel, time-stamps it, and ties it to the unit's record.
We kept this box because three looked nicer than two, then went hunting for a third step. There isn't one — you scanned it, you logged it. That was the whole thing.
Everything a power department actually needs — scan-and-go capture, AI controller reads, tamper-evident tags, and a coordinator view of the whole fleet.
A web app, not a download. QR to logged reading in seconds, even in a gloved hand on a wet stage.
Photograph the controller screen and LogIt extracts kW, volts, run hours, and fuel — straight from the image, no squinting, no typos.
Every QR is a registered "birth record." Codes can't be cloned into the system, and lost or retired tags are deactivated in a tap.
As crews scan, each asset's timecard reconciles itself and the office view updates — with automatic flags when a unit is still running or missing a shut-off.
Where raw readings become decisions.
Every reading captured in the field feeds LogIt Studio, where real generator data becomes analysis, modeling, and visualization — runtime reconciled, fuel and emissions quantified, and new scenarios modeled against what actually happened. Real intelligence from real data, from the generator tag to the season's sustainability report.
Every unit's status, load, and location in one clear picture — current as of each asset's most recent entry, never a clipboard guess.
Per-asset timecards build themselves from each scan, auto-flagging units still running or missing a shut-off.
Fuel burn, load factors, and emissions worked out from real readings automatically — the numbers your green report needs, without the spreadsheet.
Model new scenarios against real data — right-size the next genset or shoot and see the fuel, cost, and carbon before you commit.
The same TethraAI that reads controller photos out in the field drives the analysis here — frontier AI models paired with our own modeling engine, working over real generator data to surface the opportunities and insights a clipboard never could.
Open LogIt, scan a demo generator, and log a reading the way a crew would.
