Snowflake unveils AI Data Cloud 'Energy Solutions'

Snowflake has launched Energy Solutions, an industry-focused offering for its AI Data Cloud that targets power and utilities firms and oil and gas companies.

The company said the product groups together Snowflake governance tools, partner-built applications and sector datasets. It also focuses on connecting information across corporate IT systems, operational technology and connected devices.

Energy companies face rising volumes of data from grid equipment, field assets, customer systems and market operations. Software vendors have increased their focus on tools that bring those data sources together under common security and governance policies.

Snowflake said organisations including Powerex, ExxonMobil, Expand Energy, IGS Energy, PG&E, Siemens and Sunrun already use its platform for data modernisation and AI-related work.

SAP connection

Snowflake linked the launch to its partnership with SAP. The company said energy customers can combine SAP finance and supply chain data with operational and field data on Snowflake.

The company positioned the integration as a route for business and operational systems to share information more directly. It highlighted areas such as grid operations, asset planning and commercial performance.

Alongside the core launch, Snowflake said it is adding more than 30 partner-built solutions that run natively on its platform. It framed the additions around common energy use cases, including grid planning, asset health and operational forecasting.

Partner products

Among the partners, CARTO said it is delivering cloud-native spatial analytics built directly on Snowflake. Snowflake said the approach allows energy companies to run geospatial analysis and create interactive maps without moving data across systems.

Itron is introducing a grid planning product built on Snowflake. Snowflake said the product includes "8,760-hour power flow analysis" and can model grid performance years into the future at granular levels.

Siemens highlighted an integration between Siemens Industrial Edge and Snowflake. Snowflake said the integration brings data from decentral industrial assets into Snowflake for analytics and AI work. It also said Siemens is introducing new analytical functions that allow teams to interact with operational data using natural language.

Snowflake view

"Data is the control plane for the future of energy," said Fred Cohagan, Global Head of Energy, Snowflake. "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 modernize how they manage data and harness AI to democratize insights so that anyone, not just data scientists, can act on intelligence in real time. This shift allows organizations to do more with less, optimize existing assets, and deliver stronger sustainability and shareholder outcomes."

Snowflake also pointed to Snowflake Intelligence, which it described as a natural language interface for technical and non-technical staff to access answers from historical and operational data.

Customer comments

Partners and customers described their own product work and deployments on the Snowflake platform.

"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. "By combining Bidgely's vertical AI with Snowflake's data and AI platform, we can make insights immediately accessible through natural language, helping utilities better understand consumption patterns, customer behavior, and distributed energy impacts. This allows energy teams to make faster, more informed decisions without long analysis cycles."

EDF described customer data work on the platform.

"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. "By building our Intelligent Customer Engine on Snowflake, we've unified sensitive data securely and accelerated how quickly we turn insights into action, from improving energy efficiency to identifying vulnerable customers to delivering more personalised support when it matters most."

EnergyHub focused on virtual power plants and operational telemetry.

"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. "With Snowflake, we're providing the low-latency telemetry, accurate forecasts, and reliable performance that are essential to VPPs achieving parity with traditional infrastructure. Ultimately, we aim to give our utility clients the data-driven confidence to move VPPs from the periphery to the heart of grid planning."

Expand Energy described consolidation and integration work after acquisitions.

"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. "By automating monitoring, streamlining M&A integrations, and applying machine learning through Snowpark, we're reducing complexity and saving thousands of hours annually."

IGS Energy emphasised model development and operational costs.

"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. "That simplicity lets our team focus on delivering better experiences for customers and moving faster toward a more sustainable future."

PG&E highlighted data consolidation and governance requirements in regulated environments.

"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. "Snowflake helps us consolidate siloed legacy environments, govern sensitive regulatory and operational data, and deliver timely analytics to teams in the field and in the control center. This foundation is helping us improve reliability and affordability of service for our customers."

Powerex pointed to forecasting and market insight use cases.

"Data is the foundation of market agility," said Ian Mathieson, Director of Data Systems and Application Development, Powerex. "Migrating from legacy systems to Snowflake gives us the speed and scalability to power AI-driven forecasting and LLM-powered market insights which enhances decision-making and trading performance across our organization."

Siemens linked industrial data capture with asset performance and maintenance planning.

"The energy transition requires unprecedented visibility into our operations, from renewable asset performance to grid optimization," said Horst J. Kayser, CEO Factory Automation, Siemens. "Solutions that combine Siemens Industrial Edge with Snowflake offerings help unify decades of operational data in a trusted, secure, and scalable way. This empowers our energy industry customers to manage decentral assets at scale, predict equipment failures and further optimize energy production. This data-driven approach is essential as we help our customers navigate the complexities of sustainable energy generation."

Sunrun described internal usage and operational metrics.

"At Sunrun, data drives every customer experience," said Rohit Ayyagari, Vice President of Enterprise Technology, Sunrun. "Snowflake provides the scalable foundation that powers analytics and innovation across our business-reducing latency, improving accuracy, and enabling faster insights for over 7,500 users."

Snowflake said the new partner solutions will be available through its AI Data Cloud and will focus on grid planning, operational forecasting and asset management workflows.