GE Vernova Electrification Software

Process engineers can leverage domain expertise with advanced analytics and machine learning to create digital twins, predict outcomes, and drive measurable improvements

Analyzes variety of outcomes to orchestrate the complexity of managing different energy generation sources

Uses artificial intelligence to develop real-time insights from energy data

Achieves 33% emissions accuracy in asset monitoring and performance tracking

Cloud-based computer vision software that leverages AI/ML algorithms to automate manual-intensive inspection processes for faster, safer, and cost-effective monitoring

Unlocks data that AI engines need to run simulations, predict load, and perform analytics

AI-powered software that supports understanding baseline and provides a course to net-zero targets

Provides accurate emissions data crucial for impactful decarbonization efforts in hard-to-abate industries

Helps utilities prepare for disruptions with a two-pronged approach throughout the year and before events

Transforms the grid to help accelerate the energy transition and enable utilities to navigate complexity

Manages grid orchestration and enables renewables integration for efficient energy distribution

Used by 75% of Fortune 500 utilities for grid management

Provides real-time visibility into plant operations to enable flexibility, increase productivity and more

Used by 90% of companies across sectors for industrial operations

Enhances efficiency, reliability, and decision-making by converging IT and OT with ESG focus for energy transition

Unlocks process optimization with machine learning and analytics for industrial operations