Industrial AI That Scales Beyond Pilots

VROC’s AI & Analytics Platform enables engineers and operations teams to build, deploy, and scale predictive models across assets and sites — without reliance on large data science teams.

Designed for industrial time-series data, the platform delivers explainable insights, automated deployment, and continuous model improvement in live operational environments.

Most industrial AI doesn’t scale

Many organizations can build a model. Few can deploy, trust, and scale it across operations.

Common barriers include:

• Manual model development and feature engineering

• Lack of integration with live data environments

• No governance or lifecycle management

• Dependence on external AI tools or data science teams

VROC removes these barriers with a fully integrated, industrial-grade AI platform.

Core capabilities

No-Code AI for Engineers

The AI Model Wizard enables users to create models in minutes — without coding or data science expertise.

• Guided model creation in simple steps
• Built for engineers and domain experts
• No reliance on external model libraries or OEM tools

Automated MLOps & Lifecycle Management

Models are automatically deployed, monitored, and refreshed as new data is ingested.

• Continuous model retraining

• Automated deployment into live environments

• Model performance tracking and confidence scoring

• Governance and access controls

Built for Industrial Time-Series Data

Purpose-built for high-volume, high-velocity data environments.

• Handles complex, multi-dimensional time-series data

• Supports real-time and historical analysis

• Calculation nodes for advanced KPIs and simulations

Explainable & Actionable Insights 

Predictions are supported by clear drivers and operational context.

• Sensitivity analysis for understanding impact of variables

• Model outputs visualized in dynamic dashboards

• Alerts triggered from predictions and forecasts

Flexible Model Development

Supports both no-code and advanced workflows.

• Bring your own models (BYO)

• Customize visualizations and outputs

• Full control over model design and deployment

Why it matters

Organizations using VROC’s AI platform achieve:

• Earlier detection of equipment degradation

• Reduced unplanned downtime

• Faster deployment of AI across assets

• Increased confidence in AI-driven decisions

• Scalable, repeatable model deployment

Build AI that works in the real world – move from experimentation to operational impact.