Industry Intelligence for Manufacturing & Industrial is in active discovery. This page will be built from real, earned evidence — not published in advance of it.
Structural constraints that slow modernization — before any vendor conversation.
01
Friction point
Machine data stays locked in OT systems that were never meant to leave the plant floor
SCADA and PLC systems are deliberately isolated for safety and reliability, which is the right call operationally — but it also means the sensor data that could flag a failing bearing or an overheating motor rarely reaches anyone outside the control room in time to act on it.
02
Friction point
Unplanned downtime gets diagnosed after the fact, not predicted before it
Maintenance is usually scheduled on a calendar or triggered by a breakdown, not by the condition of the equipment itself, because connecting real-time machine signals to a maintenance workflow is a different problem than just collecting the data.
03
Friction point
ERP and production planning run on a lag behind what's actually happening on the floor
Systems like SAP reflect what was reported, not what's happening in real time, so planning decisions get made on data that's already a shift or a day old.
04
Friction point
Institutional knowledge about the equipment isn't written down anywhere
The technicians who know a specific machine's quirks — the sound it makes before it fails, the workaround for a sensor that reads wrong — are retiring faster than that knowledge is being captured in any system.
Our approach
How we approach this industry
We start on the plant floor, not in the ERP system — mapping what sensors and PLCs already exist and what they already measure, because in most plants the instrumentation is already there and the gap is entirely in getting that signal somewhere useful. We treat OT/IT separation as a real constraint to design around, not an obstacle to remove, since the isolation exists for legitimate safety and reliability reasons.
We connect OT data out, not IT control in
We build one-way data paths from plant floor systems into dashboards and analytics, rather than proposing changes to how the control systems themselves operate — respecting why that separation exists in the first place.
Where this shows up
Where this shows up in practice
Capabilities, packaged solutions, and dedicated teams active in this industry — not a generic service catalog.
AI Automation & Intelligent Systems. Practical AI automation for operations teams — workflow orchestration, document intelligence, and decision support without black-box risk.
Cloud Infrastructure & DevOps. Secure, observable cloud foundations and delivery pipelines that support reliable product releases.