Downtime you can name by machine
Signals from the historian into a record operations will defend — then a job in the CMMS.
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 Use Cases
The first increment is a line, a cell, or a downtime KPI — not a plant-wide MES replacement.
Signals from the historian into a record operations will defend — then a job in the CMMS.
A model is unfinished if it cannot open a work order the crew already uses.
Lot, serial, and nonconformance in a path QA and the customer audit can follow.
When the constraint is shortage, not machines — ERP stays the system of record.
Historian and sensor paths with an explicit write boundary. A plant update should not become an enterprise incident.
Throughput and loss from the same events operations already trust.
Constraints
OT boundaries, shutdown calendars, and MES/ERP coexistence decide what the first increment is allowed to touch.
Sensor data in, governed APIs out. A model does not get to act on a PLC because the demo looked good.
We sit beside them. A greenfield factory OS is not how we start.
First value on a line or cell. We do not ask for a plant-wide freeze to prove architecture.
If maintenance cannot receive the output, we do not sell the model.
What We Deliver
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.
Sensor and machine data into a path IT can govern and OT can live with.
Signals that become jobs in the system maintenance already uses.
Throughput, downtime, and OEE from a record operations will defend.
Genealogy and nonconformance workflows — not a clipboard at the line.
When the constraint is materials, not machines — with ERP as the system of record.
Clear write paths. A plant update should not become an enterprise incident.
Related Solutions
Data and integration first. AI on the line only after the work-order path exists.
Delivery Model
We do not ask for a plant-wide freeze to prove architecture. First value is usually a line, a cell, or a downtime KPI.
Workshops with operators and domain owners. We name the KPI, the systems of record, and the compliance boundary before a large build starts.
Target design that sits beside EHR, ERP, TMS, core, or LMS — with identity, audit, and data ownership explicit.
Working software on a cadence your stakeholders can run. Demos use their data and their environments, not a slide.
Runbooks and knowledge transfer, or a managed-services retainer if you want us to keep the pager.
FAQ
MES coexistence, OT boundaries, and how we start.
Predictive maintenance, IoT ingestion, production analytics, and quality systems that sit next to MES, ERP, and the plant network.
No. We integrate. The first increment is usually visibility or a downtime KPI — not a greenfield factory OS.
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.
When the data path and owners exist. We will not sell a vision model that has nowhere to write a work order.
AI engineering →A consultation around downtime, quality, or traceability — then a discovery that names the machines, systems, and the first KPI.
Book a consultation →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