Prevent Electrical Incidents Before They Happen With Predictive AI
VIRA™ Predict analyzes real-time telemetry data and procedural intent to detect and identify unsafe sequences before exposure occurs — protecting lives, assets, and uptime on construction projects.

VIRA™ Predict is the first AI-driven platform purpose-built to govern high-risk electrical work in data center construction.
Our platform combines real-time telemetry, Digital Twin modeling, and AI risk engine to identify and detect procedural deviations in LOTO, commissioning activities, and energized switching — enabling proactive oversight before exposure occurs.
Our mission is simple
Predict — Prevent — Govern
Every energized work task. Every Shift. Every Site.
AI-Driven Platform Built to Predict Risk and Govern Electrical Safety at Scale
Predictive Risk Alerts
AI-powered deviation detection in real time.
Digital Twin Integration
Compare actual site execution against planned procedures.
LOTO & Energized Work Governance
Monitor energy isolation points, authorization flow, and procedural compliance.
Commissioning Fidelity Analysis
AI validation of Level 1–5 commissioning and task readiness.
Predictive Safety Scenarios Showcasing How Digital Twin, IoT, and AI Will Transform Electrical Risk Governance
How VIRA™ Predict Works in High-Risk Electrical Environments
Risk Data Acquisition
Live site telemetry and human inputs are ingested from IoT sensors, PPE trackers, RFID, voltage indicators, and control checklists.
Digital Twin Alignment
Dynamic models of Method of Procedure (MOP) and LOTO workflows are instantiated in the Digital Twin to define expected task sequences.
Predictive Risk Evaluation
The AI Risk Engine continuously compares actual field execution to expected procedural paths, identifying deviations before escalation.
Real-Time Governance Actions
System-triggered alerts notify field leads, energy marshals, or safety managers based on deviation severity, enabling immediate mitigation and compliance verification.
Build Safer, Smarter Projects with Predictive Risk Governance
Stay ahead with insights on predictive safety, digital twin strategies, and industry innovation.
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