NCR-2214
DraftedLine
3 · shift B
Defect
Surface void, 0.4 mm
Source
In-line vision, frame 8841
Next
Quality engineer signs
Vision inspection at line speed, predictive maintenance for the equipment, and document automation for the quality and supplier paperwork that runs the plant.
A plant runs on tolerances held shift after shift, equipment that has to stay up, and a paper trail that has to hold. We design, build, and run AI that inspects, predicts, and drafts alongside your team, with your people reviewing and approving every call. The work runs on the floor every day, and the gains compound shift after shift.
Your team approves every call that carries risk, by design.
Pick the work that costs you most, your inspections, your documents, your forecasts, and we run it from the first session to production. Every system is grounded in your own data and signed off by your team. No endless pilots, no slideware, no rework.
From the first working session to a production increment in your hands.
The code, documentation, and runbooks are yours, built to run without us.
01
We build vision systems that inspect parts on the moving line and score them against your own tolerances, flagging scratches, voids, misalignment, and out-of-spec dimensions as they pass. The model handles the volume; your quality engineers review the borderline calls and sign off on what ships. Decisions and images stay logged, so a non-spec unit can be traced and its root cause found. Inspection holds the same standard across every shift and every operator.
02
We turn sensor data, machine logs, and maintenance history into early warnings that flag a motor, spindle, or press trending toward failure and route it to a planned slot. Your maintenance leads see the signal, the reasoning behind it, and the lead time to act, then confirm the work order before anyone touches the machine. The model runs continuously, so uptime is protected by attention paid every hour, not just at the next service interval. Unplanned downtime, the scramble behind it, and the scrap from a machine running out of spec all become fewer.
03
We automate the document grind: assembling inspection reports, non-conformance records, CAPAs, certificates of analysis, and supplier corrective actions from the data you already capture on the floor. We also make work instructions and SOPs retrievable, so an operator gets the right revision at the station instead of hunting through a binder. Every draft carries its source and lands with a person to review and sign. Your quality team spends its hours on the exceptions that matter, not on retyping numbers from one system into another.
Line
3 · shift B
Defect
Surface void, 0.4 mm
Source
In-line vision, frame 8841
Next
Quality engineer signs
Asset
Press 4, spindle
Signal
Vibration trend rising
Lead time
9 days
Slot
Thursday, planned stop
Batch
LOT 22-114
Specs
12 of 12 in range
Source
QC bench data
Next
Quality lead signs
Illustrative records, drafted by the system, signed by your team
Scratches, voids, and misalignment, caught on the moving line.
A motor or press flagged before it stops the line.
NCRs and CAPAs drafted from the data you already capture.
CoAs and inspection records, populated and ready to sign.
The right SOP revision at the station, not in a binder.
SCARs assembled with the evidence attached.
We ship systems that run every day, not demos that win a meeting. When something should not be built, we say so before you spend.
The code, the documentation, the runbooks. Yours to read, run, and change long after we step back. No lock-in, no black box.
The model handles the volume. Your team approves the calls that carry risk. That is a design choice, not a fallback.
Twenty minutes, your operation on screen, and a straight answer on where applied AI pays back first.