Overseer

 Start a pilot

Run the factory. Not the software.

Overseer's agents watch the line and propose changes. You approve what ships.

Start a pilot See how it works

Three apps running.
More on the way.

Each app does one job well and shares context with the rest, so a signal in one shows up wherever it matters.

  1. Talk to your factory

    Ask the question, get the answer. No ticket to BI, no Excel pivot, no waiting for the one person who knows the schema.

  2. ERP auto-configuration

    What used to be six months of consulting becomes a week of decisions. The agent does the configuration. You sign off on the shape.

  3. Experiment tracker

    Every test you've ever run, in one place. Including the ones the engineer who left took with them.

Floor → agents → gate → floor.

Data flows in continuously. Agents share context across apps. Every consequential change passes through a single human gate before it touches your floor.

YOUR FLOOR ▸ Floor signals ▸ ERP records ▸ Operator notes ▸ Equipment telemetry ▸ Paper, email, whiteboard AGENTS Talk to your factory ERP auto-config Experiment tracker HUMAN GATE yes approve & apply no reject with note park keep watching
  1. / 01 — Floor The data already exists. Five streams, in five places that don't talk: ERP, sensors, operators, email, whiteboards.
  2. / 02 — Agents Agents share one context. A signal in one app shows up wherever it matters. Each new app makes the others smarter.
  3. / 03 — Gate Every change passes through you. Yes, no, or park. Three buttons. The agents propose. You decide.
  4. / 04 — Return Approved changes apply. What you signed off on goes to the floor. The agents keep watching, and the cycle starts again.

Designed around AI agents.
Not the other way around.

Old software was built before agents could do meaningful work, so it became a place for you to do work. Overseer starts from the opposite premise.

Before

The software demands your attention. Dashboards to read, forms to fill, integrations to babysit.

After

The software pays attention to your factory. Agents monitor, propose, run. You approve.

  • One platform that scales with you. Agents scale, not seat count.
  • Hosted on shore. Your data stays inside the country, not on someone else's roadmap.

By the time you sit down, the work has been done.

Overnight, the agents have been monitoring lines, watching for drift, proposing optimisations. What's waiting on your screen is a short list of decisions.

Approve. Reject. Park.

Decision queue · Tuesday, 06:14
4 awaiting
  1. 04:11
    Quality agent Drift caught on Line 3 — propose recalibration to spec window.
  2. 04:38
    ERP agent 3 records normalised — confirm SKU mapping for batch 22-A.
  3. 05:02
    Experiment agent Run #142 ready for review — top-ranked vs baseline by +8.2% yield.
  4. 06:14
    Process agent Press B configuration change — feed-rate +4 for next shift.
Agents do the running · You do the deciding Live

Built with you.
Not sold to you.

Run with the Deakin A²I² team. Days to scope, not quarters.

  1. Talk

    You tell us about your floor. What you make, where the gain would be clearest, what's been tried and stopped.

  2. Scope

    We pick a focused pilot together. One part of your operation where the answer matters most.

  3. Run

    We deploy and run it together. Hosted on shore by default, on-prem if the floor needs it that way.

  4. Shape

    Methods tested in your factory feed back into the platform. The agents that learn your line make the next line easier.

Pick one part of your floor. We'll start there.

To start a pilot conversation, email a2i2@deakin.edu.au.