Engineering article
OEE that operators can act on
OEE becomes useful when availability, performance and quality are connected to the reason codes, standards and production context behind the number.
The Industrial Digital Twin Platform
See your plant as it is, learn from how it ran, and simulate what to do next, with confidence you can defend.

Operators react to what already went wrong instead of anticipating it. Dashboards show the past; they rarely tell you what to do next. And when tools do predict, they often hide how little they actually know.
Cortex is built differently: a connected, modular, scalable digital twin that models your process on real physics, simulates interventions honestly, and helps operators steer, not just watch.
Each pillar is a real layer of the platform, not a slogan.
Real OT ingestion, not demoware. Native OPC-UA, MQTT Sparkplug B, Modbus TCP and REST connectors, edge gateways, a time-series historian, tag registry and data-quality layer.
Machine-level digital twins with software-in-the-loop PLCs and physics-grounded models. A simulation API that always states its basis, rule-based or historical-replay, and refuses when neither is defensible. No faked results, ever.
What-if studios with sensitivity analysis and sweep-to-optimum. Governed set-point write-back with bounds, approvals and rollback. Event-driven integration across the plant.
Live, interactive 3D of your production line and machines. Watch product flow through the process, and double-click any machine to open its cockpit.
Per-machine twins with live physics: PLC-style register maps, validated set-point writes, controller behavior, and the actual formulas shown with live values, not a picture of math.
Test interventions before you touch the plant. Sensitivity tornados rank the true drivers, sweeps find the feasible optimum, and every result carries its confidence and validity bounds.
Vibration, temperature and current signatures fused into fault detection and remaining-useful-life, turned into a prioritized, condition-based worklist.
Fuel, power and utility twins that recover waste and cut carbon, with a live, auditable view of energy intensity and emissions per unit produced.
Real-time bottleneck identification, micro-stop analysis, and scrap-risk prediction that catches process drift before it becomes defects.
Cortex ships a library of packaged digital-twin solutions, each tied to a process or objective. Browse by industry or capability, attach a solution to a plant, and its dashboards, 3D twin, scenarios and models light up. Simulation stays governed by environment, so sample data can never leak into production.
The same platform at every stage, so stage one is never thrown away.
Asset and process models, historian, dashboards.
Live data mirrors the plant: 3D twins, anomaly detection, alerting.
Simulation with defensible basis, what-if studios, machine-level PLC twins.
Closed-loop: governed write-back and agentic workflows on the event bus.
Deployable on cloud, on-premise or hybrid.
Perspectives and demonstrations on operational context, scenario basis and governed action.
Engineering article
OEE becomes useful when availability, performance and quality are connected to the reason codes, standards and production context behind the number.
Engineering article
Voice can make plant intelligence faster to access, but the useful design problem is grounding, permissions, citations and what the copilot should refuse to do.
Solution brief
A governed pattern for evaluating production changes before applying them to the live process.
Book a 90-minute working session: a live demo, and we map the first high-value twin for your plant.