SymphonyAI and Snowflake Forge Alliance to Power Energy's AI Future
- 120% increase in production AI workloads among Snowflake's energy customers in the past year
- 75% cost reduction achieved by early adopters like IGS Energy using AI on Snowflake
- Unified IT/OT data platform to bridge the long-standing gap in the energy sector
Experts agree that this partnership is a critical step in accelerating the energy sector's digital transformation, enabling AI-driven efficiency, predictive maintenance, and lower-carbon operations through unified data platforms.
SymphonyAI and Snowflake Forge Alliance to Power Energy's AI Future
PALO ALTO, Calif. – January 27, 2026 – In a significant move to accelerate the energy sector's digital transformation, industrial AI leader SymphonyAI has announced a strategic collaboration with Snowflake, the AI Data Cloud company. The partnership supports the launch of Snowflake’s new Energy Solutions, creating an integrated, AI-native ecosystem designed to help oil and gas, power, and utility providers modernize their operations, enhance efficiency, and navigate the transition to a lower-carbon future.
The collaboration addresses a fundamental challenge that has long plagued the energy industry: the deep chasm between Information Technology (IT) and Operational Technology (OT). By combining Snowflake’s robust, unified data foundation with SymphonyAI’s specialized industrial AI platform, IRIS Foundry, the two companies aim to bridge this gap, enabling organizations to unlock the full potential of their vast and varied data streams.
Bridging the IT and OT Divide
For decades, the energy sector has operated with data locked in separate silos. Business and financial data in IT systems remained disconnected from the real-time operational data generated by sensors, machinery, and control systems on the OT side. This fragmentation has hindered efficiency, slowed decision-making, and created barriers to innovation. Snowflake's Energy Solutions are engineered to dismantle these barriers by creating a single, secure, and governed platform where IT, OT, and IoT data can coexist and be analyzed together.
SymphonyAI’s IRIS Foundry platform acts as a powerful “system of intelligence” layered on top of this unified data foundation. It is designed specifically for industrial environments, offering pre-built application templates and an “agentic framework” for developing autonomous workflows. This allows energy companies to move beyond data consolidation to rapid AI operationalization. Instead of spending months or years building custom AI models, organizations can deploy high-impact applications for asset management, process optimization, and energy efficiency in a matter of weeks, delivering a near-immediate return on investment.
This ecosystem is further strengthened by Snowflake’s extensive network of over 30 partners, including industrial giants like Siemens and SAP, and specialized data providers like Itron and CARTO. This allows energy companies to seamlessly integrate financial and supply chain data from SAP with operational data from Siemens’ industrial edge devices, all within the Snowflake AI Data Cloud, creating a comprehensive, 360-degree view of their operations.
Enhancing Resilience and Modernizing Critical Infrastructure
As the world grapples with increasingly volatile energy markets and the growing threat of climate-related disruptions, the resilience of critical energy infrastructure has become a paramount concern. The SymphonyAI and Snowflake partnership directly addresses this by providing advanced tools for managing asset health and improving operational stability.
By leveraging AI and machine learning models, energy companies can shift from a reactive to a predictive maintenance model. The combined solution analyzes vast quantities of historical and real-time sensor data to detect subtle anomalies that may signal impending equipment failure. This proactive approach helps prevent unplanned outages, which are not only costly but can also threaten the stability of the grid. For example, early adopters like IGS Energy are already using AI on Snowflake to improve forecasting, reduce costs by 75%, and detect underperforming solar assets to enhance customer service.
Furthermore, partners like Itron are building advanced grid planning solutions on Snowflake that can run complex power flow analyses for the entire year, delivering in hours what used to take months. This allows utilities to more accurately forecast demand, plan infrastructure upgrades, and improve long-term reliability in the face of aging infrastructure and the increasing integration of intermittent renewable energy sources.
“Partnering with Snowflake allows us to bring the full power of IRIS Foundry’s unified Industrial DataOps and high-impact AI to energy organizations on the most trusted data foundation,” said Prateek Kathpal, President at SymphonyAI. “Our agentic framework for autonomous workflows and rapid application development complements Snowflake’s Energy Solutions, enabling customers to seamlessly bridge the sensor-to-boardroom gap, operationalize AI in weeks, and achieve measurable cost savings and operational excellence at unprecedented scale.”
Powering the Green Transition Through AI-Driven Efficiency
The push for a lower-carbon future is a defining challenge of our time, and the energy sector is at the heart of this transition. The collaboration between SymphonyAI and Snowflake provides a technological backbone to support these sustainability initiatives. By optimizing every facet of the energy value chain—from exploration and production to transmission and distribution—AI-driven insights can lead to significant reductions in waste, energy consumption, and emissions.
For example, streamlining operations and improving asset performance reduces unnecessary energy use and minimizes downtime, which often involves carbon-intensive backup systems. Unifying field sensor data with enterprise systems helps companies uncover insights to support the protection of life, property, and the environment. The ability to analyze geospatial data from partners like CARTO alongside operational data allows for smarter site selection for renewable projects and better risk management for existing assets.
As utilities integrate more renewables like wind and solar into the grid, the need for sophisticated forecasting and load-balancing becomes critical. The AI-powered tools enabled by this partnership help grid operators manage this complexity, ensuring a stable and reliable power supply while maximizing the use of clean energy sources.
“Energy companies aren’t just modernizing systems — they’re redefining how the world energizes the future,” said Fred Cohagan, Global Head of Energy at Snowflake. “Snowflake and partners like SymphonyAI are helping organizations build the trusted data foundation that this moment requires. When companies can unify IT and OT data, activate AI responsibly, and collaborate securely across the value chain, they gain the intelligence needed to run more reliable operations, accelerate lower carbon solutions, and create long-term advantages in an increasingly dynamic energy landscape.”
The market is responding with urgency. In the past year alone, AI adoption among Snowflake's energy customers has more than doubled, with a 120% increase in production AI workloads. This surge underscores the industry's recognition that a unified, AI-ready data strategy is no longer optional but essential for survival and success in the modern energy landscape.
