Snowflake unveils AI data tools tailored to energy firms

Snowflake has launched an Energy Solutions package for its AI Data Cloud, targeting power and utilities companies and oil and gas groups that want to bring operational and business data together in a single environment.

The offering combines Snowflake's data governance tools, datasets aimed at the energy sector and a set of partner-developed applications that run on Snowflake. The company said the focus includes connecting data from IT systems, operational technology and IoT deployments. Snowflake positioned the move as relevant to asset performance, grid operations and emissions-related reporting.

Snowflake said a range of energy organisations already use its platform, including ExxonMobil, Expand Energy, IGS Energy, PG&E, Powerex, Siemens and Sunrun. The company linked the use of its tools to operational modernisation and reliability initiatives, and to financial performance work.

Partner software

Snowflake also introduced more than 30 new partner-built solutions for the energy sector. The company said the applications run natively on the AI Data Cloud. It listed use cases such as predictive maintenance, grid optimisation and emissions reduction.

Several partners highlighted product releases and integrations alongside the launch. Snowflake pointed to CARTO, which is delivering spatial analytics built directly on Snowflake. CARTO said customers can run geospatial analysis and build interactive maps without moving data across systems. Snowflake said the work adds geospatial context to operational workflows and to risk analysis tied to assets and infrastructure.

Itron has launched a grid planning product built on Snowflake. Snowflake said it includes an 8,760-hour power flow analysis and can model grid performance years into the future. The company said the approach produces results in hours rather than months. It linked the tool to utility planning and infrastructure investment decisions.

Siemens highlighted its Siemens Industrial Edge integration with Snowflake. Snowflake said the integration brings data from decentralised industrial assets into Snowflake for analytics and AI use cases. Siemens also introduced new analytical features. Snowflake said these allow teams to interact with operational data using natural language.

SAP connection

Snowflake said the energy package builds on its partnership with SAP. It said customers can combine SAP finance and supply chain information with operational and field data on Snowflake. Snowflake linked the integration to decision-making across grid operations, asset planning and commercial performance.

The company framed the announcement around the role of data foundations for AI deployments in energy operations. It also pointed to its Snowflake Intelligence product, which it said lets employees use natural language to query data and receive answers quickly. Snowflake said this applies to both technical and non-technical roles.

"Data is the control plane for the future of energy," said Fred Cohagan, Global Head of Energy, Snowflake.

Cohagan also said: "Whether it's keeping the grid secure, protecting critical assets, or balancing supply and demand in volatile markets, energy companies need a trusted data foundation that can activate AI everywhere. Snowflake is helping the world's energy leaders modernise how they manage data and harness AI to democratise insights so that anyone, not just data scientists, can act on intelligence in real time. This shift allows organisations to do more with less, optimise existing assets, and deliver stronger sustainability and shareholder outcomes."

Partners and customers also used the announcement to describe how they view data platforms in energy operations and customer-facing work.

"Bidgely was founded to help the energy industry turn data into action, and Snowflake Intelligence enables that vision at a completely new scale," said Abhay Gupta, Founder and CEO, Bidgely.

"In a rapidly changing energy landscape, having a trusted, real-time view of our customers is essential," said Alex Read, Senior Enterprise Product Manager - Data, EDF.

"To build a reliable, affordable, clean grid, utilities need to trust that virtual power plants (VPPs) are as dependable as traditional power plants," said Justin McCammon, VP of Engineering, EnergyHub.

"Our data platform built on Snowflake gives us a single, trusted view of operations across business and field systems," said John Christ, Chief Information Officer, Expand Energy Corporation.

"Snowflake helps us simplify how we build and run our AI models, cutting costs and speeding up insights without sacrificing accuracy," said Dan Shah, Product Manager, IGS Energy.

"Meeting our customers' expectations for affordable and reliable energy depends on simplifying our data landscape and enabling intelligence across every part of our business," said David Leach, Senior Vice President and Chief Data & Analytics Officer, PG&E.

"Data is the foundation of market agility," said Ian Mathieson, Director of Data Systems and Application Development, Powerex.

"The energy transition requires unprecedented visibility into our operations, from renewable asset performance to grid optimisation," said Horst J. Kayser, CEO Factory Automation, Siemens.

"At Sunrun, data drives every customer experience," said Rohit Ayyagari, Vice President of Enterprise Technology, Sunrun.

Snowflake said it expects additional partner solutions and customer implementations to follow as energy organisations increase investment in data integration and AI-related workflows across grid, generation and field operations.