Connect your machines, production lines, and factory operations into one live digital twin. Get real-time visibility, AI-driven insights, and predictive maintenance — without a massive transformation project.
Six integrated capabilities that give operations teams live visibility, AI-driven insights, and actionable intelligence across every machine and production line.
Track availability, performance, and quality across all machines with automatic downtime classification and shift-wise reporting.
Detect abnormal patterns in temperature, vibration, current, and cycle time before they escalate into costly unplanned stoppages.
Monitor energy consumption by machine and line. Identify wastage during idle periods, overload conditions, and inefficient cycles.
Ask natural-language questions about machine health, downtime causes, SOPs, and maintenance history for instant AI-powered guidance.
Real-time visibility into running, idle, stopped, and alarm states for every asset — from CNC machines to compressors and presses.
Automated alerts for abnormal machine behavior and scheduled performance reports for operations review and management dashboards.
Each module delivers standalone value while working together as a complete factory intelligence platform.
Connect machine, PLC, SCADA, sensor, and manual production data into one live dashboard with real-time status and intelligent alerts.
Identify where production is slowing, why machines stop, and which losses impact output the most with deep operational analytics.
Use AI to assist maintenance teams with alerts, troubleshooting guidance, SOPs, manuals, and historical logs through natural language.
Built for plant heads, production teams, and maintenance leaders who need real results, not just dashboards.
Detect abnormal machine behavior early and help teams act before failures become expensive stoppages that halt production lines.
Track availability, performance, and quality across machines and production lines in near real time for continuous improvement.
Monitor energy patterns by machine or line and identify wastage during idle, overload, or inefficient operating cycles.
Move from reactive maintenance to condition-based and predictive maintenance workflows that reduce emergency repairs and costs.
See which machine, shift, process, or downtime reason is limiting your daily output and take targeted corrective action.
Convert disconnected machine data, logs, manuals, and reports into decision-ready insights for your entire operations team.
A connected digital twin layer built on your existing industrial systems. Start with selected machines and expand plant-wide at your own pace.
A unified view of machine status, OEE performance, and AI maintenance alerts — all in one real-time digital twin dashboard.
Natural-language queries over machine data, maintenance logs, SOPs, and historical records. Instant AI-powered answers for every shift.
Example queries your team can ask:
A clear, structured path from factory assessment to a fully operational digital twin with AI insights and a plant-wide scale-up roadmap.
Identify critical machines, available sensors, PLC/SCADA/MES/ERP access, and the highest-value first use case.
Select one production line or group of critical machines. Define KPIs: OEE, downtime, energy, and maintenance alerts.
Connect machine data through edge gateways and build real-time dashboards, alerts, reports, and asset hierarchy.
Deploy anomaly detection, maintenance copilot, impact reports, and a plant-wide rollout roadmap for full expansion.
Best suited for factories where downtime, output, quality, or energy usage drives daily performance and profitability.
Explore a live interactive demo of the digital twin dashboard — see machine monitoring, OEE tracking, and AI maintenance alerts in action.
No commitment required. Explore the dashboard at your own pace.