Your machines have a story to tell. GridJot listens.

GridJot transforms simple sensor data into a meaningful narrative — one your people can act on today, and AI learns from over time.

Big plants have reliability engineers and monitoring suites. The small factory, the machine shop, the on-site power system — someone is still responsible for those at 3am, with none of the tools. GridJot is built for that someone.

GridJot · morning brief

Shop floor · Thursday

Line 1 · normal shift

Ran 7.4 hrs · output on pace

Compressor · cycling more than usual

Not normal for this machine · watching closely

Overnight · quiet

All checks clean · nothing needs you

Worth a look

The compressor’s pattern matches the weeks before its last service. Suggest checking it this week, not next month.

Watch. Understand. Tell you.

GridJot reads your machines and reports to your people. It never touches your equipment.

Watch

Inexpensive sensors — power, vibration, temperature, runtime — go on the machines you care about. No new wiring into your controls, nothing replaced.

Understand

Agents learn each machine’s normal — its rhythms, its seasons, its moods — and turn raw readings into a narrative: what happened, what’s drifting, and why it matters.

Tell You

A plain-English brief each morning, and an alert the moment something matters — with the evidence attached. Ask follow-ups in plain language, any time.

Running a factory, a shop floor, or on-site power? Talk to us about your machines

GridJot watches and tells you — it never sends commands to your equipment. Your machines, your controls, your data, your decisions.

It knows what normal sounds like.

An experienced hand can walk a shop floor and tell something’s off before any gauge says so. GridJot works the same way — it learns each machine’s normal and speaks up when today doesn’t match it. Your team stops staring at dashboards and starts managing by exception.

Sensors go on in a day

Off-the-shelf sensors clip onto the machines and systems you care about — read-only, no downtime, no changes to your controls. If you already have telemetry, GridJot reads that too.

Agents learn each machine

Within weeks, GridJot knows what a normal Tuesday looks like for every machine — and starts catching the quiet drifts: the compressor cycling harder, the motor running warmer, the line slowing down.

You get the story

A morning brief in plain English, alerts when something matters, and answers when you ask. Fix small problems on your schedule instead of big ones on the machine’s schedule.

And every day it runs, your operation builds something valuable: a clean, labeled record of how your machines actually behave — what preceded every hiccup, what fixed it, what normal looks like. That history stays yours, and it’s the foundation for the custom AI models that will run industry in the years ahead.

Talk to us

Proven watching over people.
Now watching over machines.

GridJot’s engine wasn’t born in a factory. It runs in production in VivaJot, our elder-safety product — reading ambient sensors in real homes, learning each person’s daily rhythms, and alerting families when something that should happen doesn’t. Interpreting a machine’s day is the same craft. A machine’s habits are simpler.

GridJot is built on the AgentJot platform — a governed team of AI agents you direct in plain language, with role-based access and a complete audit trail. It’s our contribution to what investors now call physical AI: systems that sense, reason, and act in the real world. Today GridJot senses and reasons — watching and advising. As it earns your trust, future versions will act — only with your approval, only within limits you set.

A StartJot portfolio company

Partner with us

Manufacturers, facility operators, and energy partners: if you have machines worth watching and no good way to watch them, we’d like to run a pilot on your floor. Contact us →

Your machines have a story to tell. GridJot listens.

Watch. Understand. Tell you.

It knows what normal sounds like.

Proven watching over people. Now watching over machines.

Proven watching over people.
Now watching over machines.