GE Vernova acquired Alteia SAS, a France-based software company specializing in AI computer vision and machine learning, to bolster its AI capabilities and give utilities visual data solutions that provide situational intelligence and actionable insights.
Key Takeaways
- GE Vernova acquired Alteia SAS to enhance its AI and computer vision capabilities for the electric grid.
- The acquisition strengthens GridOS Visual Intelligence, enabling utilities to turn visual data into actionable insights for grid planning, damage assessment, and vegetation management.
- This move positions GE Vernova as a leader in AI-driven grid orchestration, helping utilities boost resilience, reduce risk, and restore power faster during disruptive events.
“With this acquisition, we are excited to increase our investment in a critical element of our GridOS offering,” said Scott Reese, CEO Electrification Software at GE Vernova. “Together with the Alteia team, whose expertise will help to advance our AI- and data-centric vision for GridOS, GE Vernova will be able to solve for critical pain points that our utility customers face every day and help them use visual data and AI in an actionable way to prevent disruptions or restore power quickly. This acquisition aims to further solidify our position as a data and AI leader in grid orchestration software and pave the way for additional use cases that could enhance the visual precision needed for modern grid operations.”
GE Vernova’s GridOS portfolio helps utilities plan for and operate the electric grid through disruptive events like storms and wildfires. GE Vernova already offers Alteia’s software to customers through its GridOS Visual Intelligence. It uses visual data and AI-enabled workflows to help utilities:
- See the grid and assess damage
- Identify where vegetation should be trimmed
- Inspect key assets along thousands of miles of electrical lines
This acquisition further integrates visual and operational data into GridOS Visual Intelligence from core systems to provide an enhanced level of situational awareness. Continued advancements for AI-workflows will build on the insights delivered to help utilities reduce the probability of catastrophic events and enhance resiliency with expedited damage assessments to rebuild and restore the grid.