Exiger AI Supply Chain Risk Management and Orchestration Now Embedded in Snowflake Energy Solutions

Article

January 29, 2026

Skyler

Chi

Senior Vice President, GTM Productivity & Excellence

A single supplier disruption can cascade into outages, delayed maintenance, compliance exposure, and unplanned cost. In energy and utilities, the problem is not a lack of data—it is that supply chain risk signals are fragmented across systems, reviewed too slowly, and rarely connected to action. This leaves pipelines, power grids, and other critical infrastructure at serious risk.

Today, Exiger is embedded in Snowflake’s Energy Solutions to help energy organizations deploy AI-driven supply chain risk management (SCRM) faster, with simplified contracting and streamlined integration. Snowflake customers can bring AI-powered SCRM and orchestration from Exiger directly into their Snowflake environment, accelerating time-to-value and moving from insight to mitigation without building a separate risk stack.

Better Together with Exiger + Snowflake for Energy

In-platform access to risk signals and data at scale. Snowflake customers can integrate the world’s largest, continually updated supply chain risk data lake—comprising billions of data points—directly within their Snowflake environments. This enables teams to onboard, vet, and continuously monitor suppliers, customers, and agents using billions of supply chain risk signals.

Unmatched transparency across networks. Exiger provides unmatched transparency of entity-, item-, and software-level networks, helping organizations uncover critical dependencies and hidden exposure across complex, multi-tier supply chains.

Automated mitigation that speeds remediation and reduces cost. Automated mitigation workflows speed remediation, reduce disruptions, strengthen business resilience, and reduce operational and compliance costs.

If you already use Snowflake, this is the fastest path to operationalizing supply chain risk management inside your data foundation. In a demo, Exiger will show how energy teams can deploy quickly, connect risk signals to the data they already trust in Snowflake, and automate the actions that reduce disruption.