Solution
MaquilaCore — Plant & workforce
AI adoption at your plant: from pilot to production floor
We modernize your operation with applied AI — and with a plan for your own team to run it. Diagnostic, pilot with measurable ROI, integration with your systems and knowledge transfer.
The cost of automation fell 40–60% in three years, and the cost of AI fell even faster. What was a corporate-only project in 2023 is viable for an SMB today — but the mid-size plant has no internal team to adopt it with judgment. The gap between what the technology allows and what the average plant uses is the biggest competitive advantage available in the corridor. Whoever closes it first, capitalizes it.
What we implement
AI where it pays — on processes and data that are already connected.
1
Intelligent documents
Automatic extraction of invoices, packing lists and pedimentos to feed the electronic file and the audit — no human data entry.
2
Predictive maintenance
Models on the sensor data your floor already captures, to anticipate failures and reduce unplanned downtime.
3
Visual quality inspection
Computer vision on the production line for defect detection, with low-cost hardware.
4
Internal copilots
Assistants over procedures, regulations and plant manuals — with data that never leaves the client's control.
Three ways to work together
From the complete project to a team embedded in yours.
1
Turnkey project
Our team designs, builds and integrates the complete solution — you bring the problem and the data.
2
Dedicated teams
Our engineers embedded in your team, with U.S. regulated-industry standards (SOC 2, ISO 27001): they accelerate your project and raise the bar from within.
3
Systems modernization
From Excel and legacy to platforms AI can leverage: without ordered data there's no AI that performs. Phased migration, without stopping the plant.
How we work together
A bounded case, on your real operation, with a before-and-after metric. Weeks, not years.
01
Maturity diagnostic
02
Pilot with measurable ROI
03
Deployment & integration
04
Handover
We train your own team
We don't sell dependency: every project includes knowledge transfer, and we offer training programs so your people master the tools industry uses today.
See training programsHouse stance
Technical honesty. We recommend AI only where it pays, with ROI measured before and after — and where a simple script solves it better, we say so. AI sells as a top layer: without systems integration it has no data.
Frequently asked questions
What we get asked about AI.
Where does a plant start with AI?
With a maturity diagnostic: we assess systems, data and team, and deliver an opportunity map with estimated ROI. AI only performs on ordered data — sometimes the first step is integrating, not automating.
Do my data need to be perfect before starting?
Not perfect, but connected. If your operation lives on Excel and paper, the project starts with capture and integration; the AI layer arrives as soon as there's a reliable signal to leverage.
Does my data leave my company?
No. We design solutions so data stays under the client's control, with on-premise or your-own-cloud options, and an auditable record of what is processed and where.
How do I measure whether the pilot worked?
Every pilot starts with an agreed metric — data-entry hours, downtime, defects, response time — measured before and after. If the number doesn't improve, we say so and it doesn't scale.
