What it is
We time the jobs done by hand — kitting, loading, packing, palletizing, machine tending, inspection — and rank them.
How it works
One task done by hand today, running by itself at the end.
Kitting, loading, packing, palletizing, machine tending, inspection. One task, one station, then your team runs it.
Station walkthrough
01
Pick the first task
We walk your floor and name the one task worth automating first.
Problem it solves
A plan to automate everything is why nothing starts. One task is a decision you can make.
What ownership means here
You keep the task list and timings, even if you never hire us.
02
Build and run one station
Working on your real parts before anything else on the floor changes.
What it is
We source the hardware, install it, train it on your parts, and run it until it holds pace on a normal shift.
Problem it solves
Nothing else gets disrupted. If it fails, you lost one station, not a line.
What ownership means here
Your team watches it learn your parts from day one.
03
See what it's doing
What it picked, what it refused, where it hesitated.
What it is
Every cycle and exception logged in one place your supervisors can read without an engineer.
Problem it solves
A sealed machine blinks a code and tells you nothing.
What ownership means here
The record lives in your systems. Export it any time.
04
Change it when the mix changes
New part, new carton — your team retrains it, not a vendor ticket.
What it is
Retrain on new parts and push to the station, with one-step rollback.
Problem it solves
Most automation was dropped because it couldn't adapt. That's what we design against.
What ownership means here
The trained model sits in your account and exports.
05
Engineers on your floor
On site until your people can run it without us.
What it is
Through install, training, and the first weeks of production.
Problem it solves
Automation dies at integration — your bins, your labels, your shifts.
What ownership means here
We're done when your team changes something and it works.
06
Test before it hits the floor
Every update replayed against the station's past failures.
What it is
We keep the awkward cases from your line — crushed carton, bad label — and test changes on them first.
Problem it solves
On a live line, a bad update is a stopped shift.
What ownership means here
The failure library is built from your floor and stays with you.
07
Extend on your schedule
The second station is your decision, not our roadmap.
What it is
Same approach, next task — with the people and data already in place.
Problem it solves
Which job gets automated next should follow your staffing, not a vendor plan.
What ownership means here
No obligation to expand, no penalty for stopping.
The honest version
What you keep if you drop us
Our hold is the tooling and the people, not the station.
What stays yours
- — The station, running.
- — The trained model, exportable.
- — The record of what it did.
- — Your library of awkward cases.
What you would give up
- — Engineers on call.
- — Staged updates and rollback tooling.
- — The test harness.
- — Help with the next task.
Switching costs you support, not the station. Nothing we hold can stop your line.
The doubts you already have
Straight answers
Our process changes too often. Can this keep up?
The station learns from examples of your parts, and your team retrains it when the mix changes, with one-step rollback. If your variation is beyond what's reliable today, we say so before you spend anything.
Do we have to automate everything at once?
No. One task, one station. If it doesn't hold up, you lost a station, not a line.
What happens to the people doing this task?
That position stops needing someone on it every shift. It's usually the hardest role to keep filled, so most operators move those people to other work and stop reposting the req. If your plan is headcount reduction, that's your call — we won't pretend otherwise.
We're not big enough. Is one station worth it?
The question isn't fleet size — it's whether one task costs enough in staffing, injuries, or lost pace. If it doesn't, we'll tell you.
We tried automation before and it couldn't adapt.
Fair. The difference is the station is trained on examples rather than programmed for one fixed case, and your team can change it.
Do we own what gets built?
Yes. Your data stays in your environment, the model is registered to your account and exportable. Ending the relationship doesn't stop your station.
Do you sell the robots?
No. We help you source hardware, then build and train the system on top. No hardware margin, no reason to steer you.
Pricing questions are answered on How we work.