Physical AI infrastructure
Teaching industry to run itself.
Most of the world’s factories and warehouses run on manual work no software can see. wiseDo builds the layer that understands it: cameras teach the software, the platform decides, and a live digital twin moves real machines and robots. One loop where people, AI and robots work as one crew, on the floor you already run.
Not ready to talk? Get one note when pilot slots open.
Typical outcomes in integrated automation programs. Check your own line’s OEE in 60 seconds →
One loop on every station
See. Decide. Act. Learn.
Sight sees how the work is done. The platform decides in real time. The digital twin carries the decision to the floor. And every operator confirmation makes the models better. Edge-first, so the floor keeps running even when the network does not.
See
Sight turns the cameras you already own into ground truth: every cycle, every stop, every station, plus machine signals over OPC UA and MQTT.
Decide
Two-tier inference at the edge. Sub-100ms models run continuously; the platform replans schedules, calls maintenance and holds material from one live model of the floor.
Act
The digital twin carries decisions out: prompts to operators, andon escalations, and commands to the machines and robot fleet already on the floor.
Learn
Every confirmation and correction is a labeled example. The models tune to your floor and your products, shift after shift. The longer wiseDo runs, the better it gets.
Watch it run
One incident, end to end.
The floor and the software in the same frame. Sight spots an idle station, the platform replans the schedule in seconds, the twin holds the robot until the path is clear, and the operator’s one tap teaches the models.
The digital twin
A living copy of your floor, connected to the real one.
The twin holds the current state of every station, order, machine and robot. When the platform decides, the twin is how the decision reaches the floor: an AMR rerouted, a schedule shifted, a machine held. When the floor changes, the twin already knows. It is the bridge between what the cameras see and what the robots do, and it is where the platform’s understanding of your operation compounds, shift after shift.
LINE 1 · TWIN VIEW · SIMULATED
OEE 71.4%
LOOP CLOSED · LEARNING
MICRO-STOPS RISING
AMR-1, AMR-2 HELD
ONE TAP · MODELS UPDATED
PEOPLE + AI + ROBOTS · ONE CREW
The platform
Everything your floor runs on. One loop.
Switch each capability on when your floor is ready. They share one data model, so the second is easier than the first, and nothing is re-typed or reconciled at month-end. Together they do what an MES, a scheduler and a quality system used to do, as modules on the loop, not products of their own.
See the floor
The live truth of every station, shift and order, from the cameras and signals you already have.
Scheduling
Plans that replan themselves as the floor changes, not as the week ends.
Maintenance
Machines ask for help before they fail, not after they stop the line.
Energy
Every unit of energy tied to the work it actually produced, and optimised against load and tariff.
Quality
Evidence that writes itself while the work happens: traceability and audit-ready records on existing kit.
Autonomy
The loop starts closing itself, action by action, under operator approval and fully audited.
Who it is for
Built for the floors that keep industry running.
Automotive
OEE recovery, honest cycle times and audit evidence on existing lines.
Electronics
First-pass yield up, escapes caught at the station, full unit genealogy.
FMCG
Micro-stoppages captured, changeovers timed, energy per case visible.
Pharma
Batch records that build themselves, deviations caught in the hour.
Each sector page goes deep on the problems, the rollout and what the loop changes. Run a warehouse or intralogistics floor instead? The loop is the same: Sight on your aisles, the twin driving your fleet. See the use cases →
Your data, your plant
Cameras on the line raise a fair question. Here is the answer.
Trust in a vision system is architectural, not contractual. These are design decisions, not promises.
Video never leaves your plant
Cameras are processed on an edge box inside your network. Footage stays on site.
Events, not footage
What crosses to dashboards, your MES and audit logs is timestamps and numbers, not video.
Air-gapped when you need it
Cloud-managed, your own VPC, or fully offline on-prem. Your choice, your data.
The process, not the person
wiseDo measures cycles, steps and stations. It is not worker surveillance, and we say so plainly. Machines take the repetitive part of the work; people keep the judgment.
The rollout
From first signal to a floor that runs itself.
See
Floor walk, line map, cameras and machine signals connected. An edge box in a cabinet, nothing replaced.
Measure
Sight calibrates on your own footage. True cycle times, reason-coded downtime and live OEE, confirmed with your supervisors.
Run
Scheduling replans from live data, the twin starts carrying decisions to the floor, and the numbers are reviewed against the baseline you agreed.
Limited pilot slots for 2026
Turn the floor you already run into a floor that runs itself.
A free floor walk is the fastest way to see where the loop starts in your plant.
No spam. Just one note when wiseDo is ready for your floor.