Quality that lags the line
Defects found at pack, not at the cell. Root cause lives in a spreadsheet two days later.
Industries
Manufacturing
AI that belongs on the shop floor.
The work on the floor
Plants do not fail in slide decks. They fail in changeovers, scrap, unplanned stops, and tribal knowledge that walks out at the end of a shift. We build AI that operators will actually use between those moments.
What we hear
The constraints we are hired to remove.
Maintenance by calendar
Pumps and spindles fail between PMs. Historians are full; decisions are still gut.
Scheduling against reality
The plan assumes a clean week. The week is never clean. Expedites eat the OEE you thought you had.
What we build
Systems, not a catalogue of models.
In-line visual inspection
Cameras and models at the station, with reject reasons coded back to MES and a board the cell lead can read.
Condition and remaining-useful-life
Signals from PLC, vibration, and work orders — ranked so maintenance acts on risk, not noise.
Finite scheduling copilots
Constraint-aware plans that absorb breakdowns and rush orders without a war room every Thursday.
Shop-floor knowledge
SOPs, deviation history, and veteran know-how retrieved at the machine — not buried in a shared drive.
If it is working
What a good engagement looks like from the inside.
- Catch defects inside the cycle, not at finished-goods audit
- Give maintenance a ranked queue instead of a pager
- Make the schedule a living object, not a frozen Gantt
- Keep process knowledge on the line when people rotate
Start a conversation
Tell us about the operation you want to improve.
A plant, a banner, a brand, a pathway. We will tell you honestly whether AI is the right lever — and what it would take to put it in production.