Exiger partners with Snowflake to embed AI-driven risk management and analytics within energy companies’ data ecosystems, aiming to enhance operational security, compliance, and decision-making in a rapidly evolving industry.
Exiger has joined forces with Snowflake to embed its AI-driven supply chain and third-party risk capabilities within Snowflake’s newly promoted energy solutions, a move both companies say is intended to give oil and gas, power and utilities org...
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According to the Industrial Cyber report, the collaboration will allow energy firms to bring together business, operational and market data on Snowflake’s platform to generate real-time insight across exploration, production, transmission and distribution, asset performance, trading and customer operations. Exiger’s tools are being presented as a way to cut deployment times, sharpen visibility into suppliers and software dependencies and automate mitigation steps to lessen disruption and compliance costs.
“Energy companies are navigating unprecedented complexity, risk and an unabating demand for speed and innovation,” said Exiger SVP, GTM, Skyler Chi. “They need operational and risk intelligence tools that meet these challenges at scale and this partnership brings that capability directly into the data cloud where decisions are made. By embedding Exiger’s AI-powered supply chain risk management and orchestration capabilities into Snowflake’s Energy Solutions, organizations can centralize risk data, automate workflows, and continuously monitor suppliers, customers, and agents using billions of risk signals. Together, we’re enabling energy leaders to shorten time-to-value, strengthen resilience, and turn complex risk data into decisive action.”
Snowflake frames the tie-up as part of a broader effort to unify traditionally separate IT and operational technology data streams so that AI-driven analytics and collaboration with ecosystem partners can be performed on a consistent, auditable foundation. “Energy companies aren’t just modernizing systems , they’re redefining how the world energizes the future,” said Fred Cohagan, Global Head of Energy, Snowflake. “Snowflake and partners like Exiger are helping organizations build the trusted data foundation and orchestrate secure, agile supply chains 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 integration follows Exiger’s recent roll-outs of pre-packaged solutions on Snowflake’s industry clouds, including a Supply Chain Explorer for Snowflake’s Manufacturing Data Cloud, which Exiger says speeds identification of supplier risk for manufacturers. Exiger also markets its DDIQ platform as an AI-enabled engine that anticipates evolving ESG, cyber, financial crime, third-party and supply chain exposures, a capability highlighted on Snowflake’s partner pages.
Exiger’s broader partner network offers context for how the company is positioning its energy offering. The firm has allied with Kinaxis to add multi-tier supplier assessment and proactive planning, with Muir AI to produce automated emissions calculations for Scope 3 transparency, and with Sayari to enhance ownership-graph visibility for foreign ownership and control risk, according to company releases and partner announcements. Those prior collaborations underscore a strategy of combining proprietary AI signals with third-party data to widen supplier lineage and compliance coverage.
Snowflake and its marketplace partners are not the only route to AI-enabled supply chain monitoring in the market. Other vendors, such as Resilinc, have also announced Snowflake integrations to deliver event-monitoring and disruption alerts to customers, illustrating a competitive ecosystem of specialised tools that energy companies can assemble on top of cloud data platforms.
Both Snowflake and Exiger say the combined approach will support operational reliability, safety and emissions-reduction goals by linking field sensor feeds with enterprise systems and by providing governed data lineage, security controls and regulatory compliance features that facilitate scaling AI without compromising cyber defences. The companies present the offering as enabling energy organisations to anticipate parts shortages, vendor interruptions and software dependencies that could affect asset availability and maintenance planning, while also supporting secure data sharing across suppliers, regulators and service partners.
Source: Noah Wire Services



