Industry

Manufacturing Technology Solutions

Industrial IoT, predictive maintenance, and quality systems that sit next to MES and ERP.

Overview

We help manufacturers digitize a constraint you can measure — downtime, quality, traceability — with IoT and analytics that write into the maintenance and ERP systems you already run. We do not ask for a greenfield factory OS to start.

Related engineering lives on our solutions page. To scope an engagement, book a consultation.

Industry Challenges

  • Downtime without a signal path
  • OT and IT boundaries
  • Quality genealogy on paper
  • Models with nowhere to create a job

What changes

  • First increment on a line or KPI — not a plant-wide freeze
  • Work orders from signals, not a dashboard nobody acts on
  • Clear OT/IT write paths
  • ERP and MES remain systems of record

Industry Use Cases

Where manufacturing programs usually start

The first increment is a line, a cell, or a downtime KPI — not a plant-wide MES replacement.

Downtime you can name by machine

Signals from the historian into a record operations will defend — then a job in the CMMS.

Predictive maintenance that creates work

A model is unfinished if it cannot open a work order the crew already uses.

Quality genealogy off the clipboard

Lot, serial, and nonconformance in a path QA and the customer audit can follow.

Materials visibility without a second ERP

When the constraint is shortage, not machines — ERP stays the system of record.

OT data IT can govern

Historian and sensor paths with an explicit write boundary. A plant update should not become an enterprise incident.

OEE that finance will not argue with

Throughput and loss from the same events operations already trust.

Constraints

Constraints we design for first

OT boundaries, shutdown calendars, and MES/ERP coexistence decide what the first increment is allowed to touch.

No casual write path into the line

Sensor data in, governed APIs out. A model does not get to act on a PLC because the demo looked good.

MES and ERP stay

We sit beside them. A greenfield factory OS is not how we start.

Shutdowns and change windows

First value on a line or cell. We do not ask for a plant-wide freeze to prove architecture.

A job system that already exists

If maintenance cannot receive the output, we do not sell the model.

What We Deliver

Plant visibility that creates a work order

Smart-factory programs stall when the model has nowhere to act. We engineer IoT, maintenance, and quality platforms that sit next to MES and ERP.

IoT and historian integration

Sensor and machine data into a path IT can govern and OT can live with.

Predictive maintenance

Signals that become jobs in the system maintenance already uses.

Production analytics

Throughput, downtime, and OEE from a record operations will defend.

Quality and traceability

Genealogy and nonconformance workflows — not a clipboard at the line.

Supply and inventory visibility

When the constraint is materials, not machines — with ERP as the system of record.

Secure OT/IT boundaries

Clear write paths. A plant update should not become an enterprise incident.

Delivery Model

Increments that fit a shutdown calendar

We do not ask for a plant-wide freeze to prove architecture. First value is usually a line, a cell, or a downtime KPI.

  1. 01

    Map the operating constraint

    Workshops with operators and domain owners. We name the KPI, the systems of record, and the compliance boundary before a large build starts.

  2. 02

    Architect for coexistence

    Target design that sits beside EHR, ERP, TMS, core, or LMS — with identity, audit, and data ownership explicit.

  3. 03

    Deliver a usable increment

    Working software on a cadence your stakeholders can run. Demos use their data and their environments, not a slide.

  4. 04

    Handover or operate

    Runbooks and knowledge transfer, or a managed-services retainer if you want us to keep the pager.

FAQ

Questions about manufacturing technology

MES coexistence, OT boundaries, and how we start.

What do you build for manufacturers?

Predictive maintenance, IoT ingestion, production analytics, and quality systems that sit next to MES, ERP, and the plant network.

Do you need us to rip out the MES?

No. We integrate. The first increment is usually visibility or a downtime KPI — not a greenfield factory OS.

How do you handle OT and IT together?

Clear boundaries: sensor and historian data in, governed APIs out. Security and change control are designed so a plant update does not become an IT incident.

Can AI run on the shop floor?

When the data path and owners exist. We will not sell a vision model that has nowhere to write a work order.

AI engineering
How does a manufacturing engagement start?

A consultation around downtime, quality, or traceability — then a discovery that names the machines, systems, and the first KPI.

Book a consultation

Ready to scope this manufacturing program?

A short consultation to name the operating constraint, the systems of record, and a first increment.

Free 45-minute strategy session · No obligation · Response within one business day