Your plant is full of problems an engineer can remove.
You run a real plant — 25 to 500 people, machines that make money when they run, and no giant internal engineering department to throw at every problem. Some of your equipment is new, some predates the internet, and somewhere between the two sits a pile of manual work everyone has stopped noticing.
That's the plant we build for. We connect equipment old and new, put production data in front of the people who need it, automate inspection that's running on tired eyes, and build the custom software your operation actually needs — without a six-figure MES project or a rip-and-replace.
Sound familiar?
If you've said any of these, we should talk.
“Our operators are doing this manually.”
We find the manual steps between machines — counting, logging, moving data, checking parts — and engineer them away with sensors, software, and automation sized to your plant.
“We keep having quality escapes.”
Camera-based inspection with the right lighting catches what tired eyes miss, and ties every result to a serial number so audits come from a database, not a binder.
“We don't know why this machine keeps going down.”
Current sensors, vibration, and PLC data reveal what a machine was doing in the minutes before every stop — downtime tracking that names the real culprit.
“This old machine isn't connected to anything.”
Almost anything can be instrumented without touching its controls — split-core sensors, gateways, and protocol bridges bring 1990s equipment onto a 2026 dashboard.
“We want to use AI in the plant.”
Start where the data already is: quality images, downtime logs, process parameters. We apply AI where it earns its place — and tell you plainly where it doesn't.
What we bring
One engineering partner across the whole problem.
Industrial Automation
Manufacturing automation, machine integration, IIoT, production monitoring, and industrial AI for the plant floor.
Learn more →Vision & Advanced Sensing
Machine vision, AI inspection, laser measurement, 3D vision, radar, X-ray integration, and sensor fusion.
Learn more →IoT & Smart Systems
Raspberry Pi and embedded systems, smart sensors, electrical and energy monitoring, gateways, and edge computing.
Learn more →AI & Intelligent Automation
AI agents, workflow automation, LLM integration, and knowledge systems that take repetitive work off your team's plate.
Learn more →Software Engineering
Custom software from rapid prototype to production — full stack, backend, APIs, data systems, and internal tools.
Learn more →Systems Integration
We make technologies that weren't designed together work as one system — hardware, software, machines, and cloud.
Learn more →Proof it holds up
Systems like yours, running in production.
Radar centering system for steel mills
A steel-mill systems provider · Steel manufacturing
Radar-based centering system for steel mills
End-to-end engineering of a radar sensing system that measures and centers material on steel mill lines — from equipment assessment through hardware selection, electrical engineering, software, installation, and commissioning.
Read the case study →X-ray thickness gauge
An industrial measurement company · Industrial measurement
X-ray thickness gauge
A complete X-ray based thickness gauge: equipment assessment, hardware selection, electrical and hardware engineering, API integration, all software, and commissioning — delivered as a working instrument.
Read the case study →Typical first project
Plant Data Starter
Plants with disconnected equipment and no production data.
- Connect 3–5 critical machines (sensors or PLC reads)
- Edge gateway and a live production dashboard (status, counts, downtime)
- Alerting and a tuning period
- Documentation and handover
Outcome: See, for the first time, what your machines actually did today — without replacing any equipment.
Fixed price against a written scope, quoted after a call. How engagements work →
Free guide · 35 min
The Plant Data Starter Guide
See what your machines actually did today — without replacing any equipment.
Plant managers and engineering leads at 25–500 person manufacturers with no production data.
Get the guide →In your own words
Tell us about the line.
An engineer reads it — not a sales script — and replies within one business day with whether and how we would approach it.
Prefer to talk? Book a 30-minute call.
Example: e.g. Three presses, an SLC 500 nobody wants to touch, and downtime logged on a whiteboard.
Common questions
What manufacturers ask first.
We're too small for automation projects, aren't we?
No — the projects are sized to the plant. Monitoring a handful of critical machines or automating one inspection point is a modest, contained project, and it's exactly where most of our manufacturing work starts.
Will you disrupt production?
Good engineering doesn't. New systems run read-only and in parallel first, commissioning happens in planned windows, and the plant's schedule drives the project plan.
Do you work with our existing controls integrator?
Regularly — they keep the PLCs and panels, we add the software, vision, data, and cloud engineering their scope doesn't cover. Integrators are customers of ours as often as peers.
Can you work with the equipment we already have?
Almost always. Split-core current sensors, dry contacts, and protocol gateways bring machines from the 1990s onto the same dashboard as new cells, without touching their controls. Replacement only comes up when hardware genuinely cannot be supported.
Who owns the data and the system afterwards?
You do. Data lands in a database you control, source code and configuration are handed over, and the documentation is written so a new hire could keep it running. We are happy to stay on a retainer, but nothing depends on it.
Strategy. Software. Systems.
Sound like your operation?
Describe the problem in your own words. An engineer reads it — not a sales script — and tells you plainly what it would take.