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Robot Ops
Practical machine vision & AI for manufacturers

Catch the defects before your customers do.

We design, build, and support AI inspection systems for small and mid-size manufacturers, and automate the quality and ops workflows behind them. One station at a time, on your line, around your equipment.

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Flange under automated inspection — hole count, diameter, dents and scratches flagged
Worked examples on the shop floor

Applications

explore applications →
Surface & cosmetic defectsMACHININGSurface & cosmetic defects
Label, print & date-codePACKAGINGLabel, print & date-code
Presence & assembly verificationASSEMBLYPresence & assembly verification
Fill level & seal integrityFOOD & BEVFill level & seal integrity
Optimal autonomy.TM

Automate the work that should be automated. No more, no less. The right amount of AI, aimed at the numbers that keep a plant competitive, with your skilled people on the work that needs them.

95%+
AI defect-detection accuracy, vs. ~80% for trained human inspectors. [1]
15–20%
of sales revenue lost to quality-related costs at typical manufacturers. [2]
2.2%
of annual revenue lost to scrap and rework alone. [3]

Problems we solve

“People are inspecting parts by eye”
AI visual inspection covers 100% of parts without adding headcount.
Machine Vision Inspection →
“Bad parts are reaching customers”
Catch escapes before they ship, and cut the returns, RMAs, and chargebacks that follow.
Machine Vision Inspection →
“You tried a vision system and it didn't work”
It was likely one tool used for a job it couldn't cover. We match rule-based, AI, and edge vision to your parts.
Machine Vision Inspection →
“Quality paperwork is eating your team alive”
AI agents draft CAPA / 8D reports and investigation packets from your own data.
Agentic AI Systems →
“Too much of the day is manual, repetitive work”
We build agentic AI systems that automate quality and ops workflows across your business.
Agentic AI Systems →
Built to keep running

Finding the defect is half the job. The system has to act on it.

We build the software behind the camera. When a defect is found, the system rejects the part, alerts the right person, and logs the record. It ties into the PLCs and systems you already run, and it improves the longer it's on your line.

Catch it. The camera flags the defect as it happens — every part, every shift.
Flag it. The right person is notified and the record is logged automatically.
Act on it. The part is rejected or routed, the record updated, and the line keeps moving.
Machine Vision Inspection →Agentic AI Systems →
Why robot ops

A different kind of integrator

We're a focused consultancy built for small- and mid-size plants. Senior people do the work. No junior staffing, no big-integrator minimums, no line overhauls.

More tools, not a replacement
a decade ago: one tool for every job
Rule-based vision was often the only option, so it got used on jobs it couldn't handle: high-variance surfaces, changing lots. A lot of those systems ended up unplugged.
today: the right mix of tools
Rule-based, deep-learning AI, and edge vision each do what they're best at. We combine them per part: rules for precise, repeatable geometry, AI for the natural variation rules can't cover.
AI didn't replace the older approaches. It added options. We pick the combination that fits your parts and prove it works before you build around it — results that hold across shifts and lots.
See how machine-vision inspection works →
We start with a study, not a sales pitch
A low-cost feasibility study on your actual parts before you commit. If it won't work, we tell you. That's the deliverable.
Incremental by design
One station, one workflow at a time, built around the machines and process you already run. No rip-and-replace, no line overhauls.
On the side of your people
We automate the roles you can't fill and the checks nobody wants to do, so inspection gets done and your team stays on skilled work.
Right-sized for small- to mid-size plants
No big-integrator minimums. No vendor who vanishes after the sale. Systems sized for one line and one budget.
No vendor lock-in
Open, standard components and full documentation. You own the system; anyone competent can maintain it.
Senior people do the work
You talk to the engineers who build your system, start to finish.
How it works

A de-risked path, scoped to your plant

Every plant is different, so every engagement is. These are the phases we typically move through, scoped to your parts and budget. You can stop at any point and keep what we've delivered.

01
Free consultation
Tell us the problem. We give an honest read on whether AI can help.
02
Feasibility study
Your actual parts on our bench. Predicted catch rates and a go / no-go recommendation. The report is yours either way.
03
Pilot deployment
One station or one workflow, with success metrics agreed up front.
04
Deploy & support
Training, documentation, and a support plan. You own the system.
The payback

Every project is scoped against payback.

We don't build technology for its own sake. If the numbers don't work, we'll tell you before you spend anything on hardware.

The feasibility study puts real numbers against your line: the labor, scrap, and return costs a system would offset. You decide with a payback estimate in hand.

Inspection labor
Inspectors are hard to hire and keep. One station covers the 100% checks every shift without fatigue, and the people you have work where judgment matters.
Scrap and rework
Fewer good parts rejected by mistake, and defects caught early, before you've added more cost to a bad part.
Escapes and returns
Catching defects in-house avoids the far larger cost of a customer finding them: returns, RMAs, and chargebacks.
Member of / affiliated with
A3
ASQ
CISA
Robotic Operations Group
NY Robotics
NY MEP · FuzeHub
Automate what pays, keep what works

Not sure this fits your line? Ask. The consultation is free.

Tell us the part, the defect, and what it's costing you. We'll give you a straight answer on whether it's solvable. If we're not the right fit, we'll say so. Response within one business day, on site within seven.

Talk to an engineer →Explore machine vision →
Currently serving the Mid-Atlantic and New England regions