Applied AI & Digital Twins

Deploy advanced analytics where they add real value guided by your process and data readiness.

Applied AI

• Anomaly detection & forecasting: Spot drift and predict failures from historian/condition data.
• Quality & vision: Computer vision for inspection, count, and traceability; recipe/parameter recommendations.
• Intelligent assistance: Query ops data (logs, alarms, batches) and generate summaries for faster troubleshooting.

Digital Twins

• Process & controls twin: Dynamic simulation of the plant and control logic for “what if” testing and training.
• Commission faster: Validate sequences, interlocks, and tuning before startup; de risk changes with virtual FAT.
• Optimize continuously: Use the twin for setpoint optimization, throughput/energy trade-offs, and MPC trials.

Industrial IT & Virtualizations

Building infrastructure that modern automation runs on such as secure networks, virtualized servers, and resilient data platforms, so your plants stay online and your data stays trustworthy.

What We Do

• IT/OT Architecture: Segmented control networks, firewalls/DMZ, secure remote access, time sync (NTP/PTP).
• Virtualization: SCADA/app servers on VMware/Hyper-V; clustering, snapshots, and rapid restore to cut downtime.
• Data Layer: Historians, data lakes, MQTT/OPC UA brokers, API connectors to MES/ERP/CMMS.
• Reliability & Cyber Security: Patch/backup regimes, redundancy/failover, role-based access, audit trails.
• Reporting & Alerts: Role-specific dashboards, alarm/event notifications, and automated compliance reports.

IIoT & Data Enablement

Turn machine data into decisions that improve throughput, quality, and asset life.

What We Enable

• Remote data collection & visibility: Edge gateways and secure cloud/on-prem routing for multi-site fleets.
• Automated reporting: Shift/daily KPIs, production/OEE, energy, and environmental metrics.
• Alarm & notification systems: Priority routing, mobile escalation, and alarm rationalization.
• Preventive & predictive maintenance: Condition monitoring, trends, and work orders via CMMS.
• Process diagnostics: Context rich data (batches, lots, recipes) to uncover losses and optimize operations.
• IT/OT integrations: Clean hand offs between PLC/SCADA, MES, ERP, LIMS, CMMS.