Grid Operators Are Grappling with Extreme Weather: Acquiring AiDASH Positions Schneider Electric to Help Mitigate Its Impact

Following the announcement of the Cognite acquisition in July (see ABI Insight “Schneider Electric’s US$3.1 Billion Cognite Acquisition to Challenge Incumbents’ Industrial Data Analytics and AI Insights Leadership”), Schneider Electric continued its summer spending with an outlay of US$350 million for a 90% stake in AiDASH. SE Ventures, Schneider Electric’s venture arm, invested US$10 million in AiDASH in 2022 and in 2024 participated in a US$58.5 million funding round, which was led by Lightrock.

Founded in 2019 by Abhishek Vinod Singh, Rahul Saxena, and Nitin Das, AiDASH positions itself as a risk management solution for grid operators and companies managing critical infrastructure. AiDASH collects and processes satellite images, aligns those images with Geographic Information System (GIS) data to support tasks such as remote inspections, managing vegetation, and helping customers prepare for natural disasters.

The extreme weather patterns and wild fires in 2026 are certainly concentrating minds of grid operators regarding protecting assets, keeping staff safe, and ensuring power capacity to businesses and residential customers. Integrating AiDASH’s vegetation and climate-risk analysis with Schneider’s grid management solutions can add valuable insights in control rooms, plus support grid planners and maintenance teams.

The use of satellite images will resonate with grid operators that manage transmission lines over thousands of kilometers. Grid operators simply cannot inspect in a timely manner all their remote assets and whether vegetation is encroaching on powerlines and becoming a fire risk.

Today, AiDASH works with more than 140 utility customers. The satellite images monitor vegetation near power lines and help customers predict and prioritize areas that will require clearance; rather than doing so on a fixed schedule and risk not doing the work in time. Combining the images with GIS data pinpoints the locations for maintenance teams to carry out the work. Along a similar vein, satellite images can help grid operators identify issues that degrade the performance of individual power lines far quicker than by a scheduled inspection.

A compelling use case that illustrates the combination of AiDASH and Schneider Electric is planning for and managing natural disasters. AiDASH has developed a Disaster and Disruption Management System (DDMS) that forecasts storms, wildfire outages, and anticipates the areas affected in real time. By using these data in conjunction with Schneider Electric’s grid management solutions, grid operators can manage any power surges, take damaged substations offline, limit any blackouts, and restore power when safe to do so. In other words, grid operators can ensure the grid still operates as much as possible.

The acquisition of AiDASH continues Schneider Electric’s ambition to support grid operators’ need to provide a reliable and resilient grid network.

The 90% stake in AiDASH repeats how Schneider Electric brought AVEVA, ETAP, Motivair, Planon, and AVEVA into the fold. The founders retain some independence and ability to still engage with Schneider’s competitors while Schneider can steer the product strategy and integrate the acquired solution into its portfolio. The immediate opportunity is to grow the commercial value of the 140 utilities customers that AiDASH currently engages by adding elements from the Smart Grid portfolio.

However, the goal is for longer-term value to come from integrating AiDASH into Schneider’s One Digital Grid Platform. Over time, AiDASH’s risk intelligence could also support agent-enabled workflows developed within Schneider Electric’s broader technology ecosystem, including the prioritization of inspections, maintenance activities, and field-resource deployment. Such workflows would require appropriate validation, governance, and human oversight.

Managing the effects of weather events is moving up the priority list for both Transmission System Operators (TSOs) (see ABI Research’s What’s on the Mind of TSOs? presentation (PT-4098)) and Distribution System Operators (DSOs) (see ABI Research’s What’s on the Mind of DSOs? presentation (PT-4099)); however, the research indicated that AI tools and applications underpinned by Artificial Intelligence (AI) are not necessarily going to be well received. Survey respondents report an interest in AI to support scheduling maintenance or understanding operational challenges, but not to perform advanced simulations (planning for storms and natural disasters would fit here).

To overcome these reservations, Schneider Electric will need to focus on allaying any concerns about the accuracy of the satellite images and providing explainability of its models’ recommendations. Grid operators recognize they need to embrace new technologies, but can be conservative when it comes to embedding them in their operations.