AI-powered safety governance for ELECTRICAL COMMISSIONING, LOTO COMPLIANCE, and energized work

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.

MVP In Progress
AI-Driven Risk Governance
Built for Data Centers
Commissioning & Energized Work
Pilot Access Open
Limited Early Partners
Industry -Aligned
Safety Culture Integration
who we are

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.

Core Capabilities

AI-Driven Platform Built to Predict Risk and Govern Electrical Safety at Scale

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Predictive Risk Alerts

AI-powered deviation detection in real time.

Engineered for energized work and procedural fidelity.
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Digital Twin Integration

Compare actual site execution against planned procedures.

Simulate MOP, LOTO, and energization workflows.
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LOTO & Energized Work Governance

Monitor energy isolation points, authorization flow, and procedural compliance.

Real-time verification and fail-safe enforcement.
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Commissioning Fidelity Analysis

AI validation of Level 1–5 commissioning and task readiness.

Know if the work was done right before energizing.
how it works

How VIRA™ Predict Works in High-Risk Electrical Environments

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Risk Data Acquisition

Live site telemetry and human inputs are ingested from IoT sensors, PPE trackers, RFID, voltage indicators, and control checklists.

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Digital Twin Alignment

Dynamic models of Method of Procedure (MOP) and LOTO workflows are instantiated in the Digital Twin to define expected task sequences.

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Predictive Risk Evaluation

The AI Risk Engine continuously compares actual field execution to expected procedural paths, identifying deviations before escalation.

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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.

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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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