We integrate your existing industrial hardware—PLCs, SCADA, MES—into a single, real-time digital twin. This creates a unified operational view without costly, disruptive rip-and-replace projects.
Service
Architecture review before implementation
Implementation scope and rollout planning
Clear next-step recommendation
Connect legacy PLCs, SCADA, and MES data to a unified AI-powered digital twin for real-time operational intelligence.
We integrate your existing industrial hardware—PLCs, SCADA, MES—into a single, real-time digital twin. This creates a unified operational view without costly, disruptive rip-and-replace projects.
The result: 40% faster root cause analysis and 30% reduction in unplanned downtime by predicting failures before they impact production.
OPC-UA, Modbus, and proprietary systems to modern data pipelines.Our integration services connect your existing industrial systems to a unified, AI-powered digital twin, delivering concrete operational and financial results. We focus on outcomes you can measure and report.
Our proven methodology for integrating AI-powered digital twins into existing industrial environments, ensuring a clear path from pilot to production with measurable outcomes at each stage.
| Phase & Key Deliverables | Timeline | Core Activities | Success Metrics |
|---|---|---|---|
Phase 1: Discovery & Data Mapping | 1-2 Weeks | Assess legacy PLCs, SCADA, and MES systems. Map data sources and define integration points. | Complete data lineage diagram. Defined ROI targets for pilot. |
Phase 2: Pilot Environment & MVP | 3-4 Weeks | Deploy lightweight digital twin for a single production line. Establish real-time data feed and basic simulation. | Live MVP with < 100ms latency. Initial predictive maintenance alerts validated. |
Phase 3: Full-Scale Integration | 4-6 Weeks | Scale twin to full facility. Integrate with ERP and warehouse systems. Deploy advanced analytics modules. | Unified operational dashboard live. 30% reduction in manual data reconciliation. |
Phase 4: Optimization & Autonomy | Ongoing | Tune AI models with operational data. Implement autonomous control loops for key processes. Enable "what-if" scenario planning. | Predictive accuracy > 95%. 25% reduction in unplanned downtime achieved. |
Ongoing Support & Evolution | Post-Deployment | 24/7 monitoring, model retraining, and feature updates. Quarterly strategy reviews. | 99.9% platform uptime SLA. Continuous ROI improvement tracking. |
We specialize in connecting your legacy industrial systems to a unified AI-powered digital twin, enabling real-time operational visibility and data-driven decision-making without disrupting your existing workflows.
Secure, bidirectional data bridges connecting Siemens, Allen-Bradley, and other legacy PLCs and SCADA systems to your digital twin, enabling real-time monitoring and historical data ingestion for predictive analytics.
Integration of Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) data layers (e.g., SAP, Oracle) to contextualize IoT telemetry with production schedules, inventory, and quality metrics.
Architecture and deployment of scalable data pipelines that ingest, normalize, and process high-frequency telemetry from thousands of industrial IoT sensors, ensuring data integrity for accurate simulation.
Implementation of OPC UA, MQTT Sparkplug, and other industrial protocols with embedded security best practices and hardware-based TEEs, ensuring your operational technology (OT) network remains protected.
Deployment of machine learning models that analyze fused data streams to forecast equipment failures, optimize energy consumption, and predict quality deviations, delivering actionable insights directly to your twin.
Connect PLCs, SCADA, and MES data into a single, real-time operational view. We specialize in integrating AI-powered digital twins into complex Industry 4.0 and brownfield manufacturing environments without disrupting production.
Our manufacturing solutions ensure your digital twin accurately mirrors physical processes, enabling true operational autonomy. Learn more about our broader approach to AI-Powered Digital Twin Engineering.
Enabling Efficiency, Speed & Accuracy
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Get clear answers on timelines, security, and our integration methodology for connecting digital twins to your existing industrial systems.
Standard integrations for a single production line or facility take 2-4 weeks from kickoff to go-live. Complex, multi-site deployments with legacy PLCs and SCADA systems typically require 6-8 weeks. We provide a detailed project plan with weekly milestones during the initial discovery phase.
About the author
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
The first call is a practical review of your use case and the right next step.
