Plant data that drives decisions, not end-of-shift reports.
Production monitoring, predictive maintenance, and plant intelligence — built across both sides of the stack. Our automation team designs the control systems on your line. Our software team builds the platforms on top.
Three things keeping plant performance from improving.
Downtime discovered late
Plants generate data constantly, but most run on end-of-shift summaries and verbal handoffs. By the time a problem shows up in a report, the window to fix it has already closed.
Reactive maintenance
Most maintenance runs in two modes: react after failure, or replace on a fixed schedule regardless of condition. Both are expensive. Neither uses the data the equipment already produces.
Six systems that disagree
Manufacturers have spent a decade buying technology — MES, IoT, dashboards, cloud. Most of it sits underutilized because it was sold as a product, not engineered as a system.
Three systems we build for manufacturing operations.
Numbers from the floor,
where output actually shifts.
Aggregate impact across recent monitoring and predictive maintenance deployments. Specific projects scoped on request.
Got a plant problem that the right system would solve?
Straight answers.
Yes. Our automation team designs and deploys control systems on production lines. Our software team builds the platforms, data pipelines, and intelligent applications that sit on top. Most firms do one or the other. We do both, and they're designed together — not stitched together after the fact by two vendors who don't talk to each other.
Yes. We integrate with Allen-Bradley, Siemens, Beckhoff, and other platforms via EtherNet/IP, PROFINET, Modbus TCP, OPC UA, and MQTT. We also retrofit data collection onto existing equipment that was never designed for connectivity — using I/O monitoring modules and edge gateways.
We deploy sensors (vibration, thermal, current) on critical equipment, build a data pipeline into a cloud or edge ML platform, and train anomaly detection models on baseline data. The system flags degradation patterns 2–4 weeks before failure, giving maintenance teams time to plan replacements during scheduled downtime instead of reacting to emergencies.
It depends on scope. A focused OEE dashboard connected to existing PLCs is a different project than a plant-wide data platform with predictive maintenance and MES integration. We provide fixed-scope proposals after a discovery phase that defines the actual requirements and integration complexity.
Yes. We've built integrations with SAP, Oracle, Epicor, and custom ERP systems. Work order management, material tracking, production scheduling, and quality data flowing between plant floor and business systems without manual entry or spreadsheet intermediaries.
Usually not. Most plants need surgical upgrades that keep production running while the system improves around it. We build on top of existing PLCs, historians, and SCADA systems — adding data collection, analytics, and AI capabilities without ripping out what already works.
Ready to talk about your plant?
Whether it's a controls upgrade, a new production line, or an AI initiative that needs to connect to real equipment — tell us about the project.