Snowflake announced new Energy Solutions, uniting Snowflake's governance capabilities, partner-developed solutions, and industry-critical datasets into a single offering tailored for the energy sector. Snowflake Energy Solutions enable power, utilities, and oil and gas companies to build a trusted data foundation for AI by securely connecting data across IT, OT, and IoT systems to modernize infrastructure, improve efficiency, and accelerate progress toward a more reliable and lower-carbon future. Organizations such as ExxonMobil, Expand Energy, IGS Energy, Powerex, PG&E, Siemens, and Sunrun are turning to Snowflake to secure critical infrastructure, improve operational resilience, and navigate volatile markets with real-time insight.
This launch also builds on Snowflake's new partnership with SAP finance and supply chain data with operational and field data on Snowflake, so insights derived from both business and operational systems directly inform grid operations, asset planning, and commercial performance. To further support customers, Snowflake is also introducing 30+ new partner-built solutions that run natively on the AI Data Cloud. CARTO, for example, is delivering new cloud-native spatial analytics built directly on Snowflake, enabling energy companies to perform geospatial analysis and build interactive maps without moving data across systems. By embedding spatial intelligence into Snowflake workflows, CARTO helps teams better understand assets, infrastructure, and geographic risk as part of day-to-day operational decision-making.
Itron, a global utility technology provider, is introducing an advanced Grid Planning solution built on Snowflake to help utilities manage modern grid complexity. The solution features 8,760-hour power flow analysis that can model grid performance years into the future at highly granular levels -- delivering results in hours instead of months -- so utilities can plan infrastructure more accurately, avoid unnecessary costs, and improve long-term reliability. Siemens, a global technology company, is highlighting its joint Siemens Industrial Edge integration with Snowflake, which enables energy and industrial companies to securely bring data from decentral industrial assets into Snowflake for advanced analytics and AI.
Building on this foundation, Siemens is introducing new analytical capabilities, which also allow teams to interact with operational data using natural language to gain faster insight into performance, maintenance, and operational issues. Together, these capabilities help energy companies improve reliability, reduce costs, and make more informed decisions across complex, distributed operations. These new partner-built solutions support critical energy use cases such as grid planning, asset health, and operational forecasting, underscoring the momentum Snowflake is seeing with customers and partners across the energy sector.
Combined with Snowflake's easy-to-use platform and built-in governance, they help companies unify data and apply AI across everything from asset performance to network optimization so teams can get started faster and deliver impact sooner.
