DMI: Distributed Manufacturing Intelligence
An industrial AI platform that helps manufacturers investigate production and quality issues, analyze process behavior, and bring operational and technical knowledge into every decision.
Everything an investigation needs, in one place
Root-Cause Analysis
Analyze events, alarms, process conditions and history to find contributing factors and speed up investigations.
Quality Intelligence
Support deviation, out-of-spec, drift, batch and yield investigations by correlating production and quality data.
Industrial AI Assistant
Engineers and operators ask natural-language questions about the plant and get answers grounded in plant context.
Document Intelligence
Use SOPs, manuals, troubleshooting guides and work instructions directly in investigations.
Production Intelligence
Tie process conditions to products, batches, recipes, orders, shifts and process steps.
Asset & Maintenance
Correlate equipment behavior with alarms, operating history, maintenance records and work orders.
Process Intelligence
Map the relationships between process stages so upstream events can be traced to downstream effects.
Anomaly & Change Detection
Statistical process control separates real special-cause events and drift from normal variation.
Genealogy & Change Analysis
Trace materials, lots, suppliers and batches, and check whether engineering changes affected performance.
Process Automation
Turn findings into approved actions: maintenance requests, quality investigations and optimization steps, as DMI work orders, Microsoft Teams posts or Power Automate flows. Learn more →
Plant-local by design, cloud where it helps
Core intelligence runs inside the plant, next to the machines. Analysis keeps working without an Internet connection and sensitive process data stays on site.
- Edge AI model and process graph run on site
- Data stays where it's created; DMI queries it in place
- Suitable for regulated, restricted and remote sites
- Optional cloud for enterprise management and cross-site reporting
- Role-based access so each user sees what they need
The only platform that runs in the plant and reasons from the process map
Manufacturing AI tools differ on two things: where they run, and how they reason. Most run in the cloud, or start from AI and analytics on tag data. DMI does both differently.
- DMIRuns on edge nodes inside the plant and follows cause and effect through the process graph.
- Cloud manufacturing analyticsUnderstand the process, but plant data has to move to their cloud, so cost grows with use.
- Industrial data and AI platformsCloud data platforms first, with analytics on top.
- Process analyticsStrong time-series analysis, deployable on premises or in the cloud.
- Automation-vendor copilotsRun close to the plant, but lead with AI assistants inside one vendor's automation stack.
Qualitative positioning based on public product descriptions. Positions are judgments, not measurements.
Complements your infrastructure instead of replacing it
Your existing systems stay the systems of record. DMI adds an intelligence layer that works across all of them.
A platform that grows with you
DMI runs from investigation and root-cause analysis through approved business process automation today, and extends into predictive and simulation capabilities next.
Today
Plant discovery, unified namespace, process graph, SPC, diagnostics, OEE, alerts, natural-language assistant, document intelligence, and BPA workflows that run approved actions as DMI work orders, Microsoft Teams posts or Power Automate flows.
Next
Predictive quality and maintenance, yield and process optimization, enterprise multi-plant intelligence, and vision-based inspection.
Future
What-if analysis with digital-twin integration, native MES, ERP, CMMS and QMS connectors, multi-step automated workflows, and continuous optimization that measures every approved action across sites.
Ready to see it in action?
We'll show DMI working with a process like yours.