03/04/2026 | Press release | Archived content
Southwire Company LLC, North America's leading wire and cable manufacturer, has announced a strategic investment in Verdigris Technologies, Inc., an AI-native electrical intelligence company focused on AI-scale data center infrastructure.
Verdigris operates a cloud-first platform that captures high-frequency electrical data at the circuit level. Its sensors install within existing electrical panels and sample thousands of times per second, delivering sub-second visibility into load behavior, power quality, and early fault conditions.
As artificial intelligence workloads increase power density demands in modern data centers, operators encounter growing reliability and usable capacity risks. Verdigris' high-frequency sensing platform addresses these environments, enabling safer compute expansion while enhancing efficiency.
The partnership involves integrating AI-native electrical intelligence into select Southwire offerings to provide deeper visibility into power delivery, equipment health, and performance optimization for AI-scale infrastructure.
Southwire is committed to being a leader in power delivery for AI data center infrastructure. Verdigris' ability to provide sub-second visibility into electrical behavior offers a level of insight that traditional monitoring systems simply cannot deliver. This supports our goal of delivering advanced solutions that help AI-scale customers optimize performance and reduce waste.
Charles Hume, Managing Director at Southwire Technology VenturesSouthwire's investment accelerates our mission to build AI-native electrical intelligence for next generation infrastructure. We're starting with high-performance AI data centers, where power density and real-time awareness are critical, and expanding into other mission-critical environments that require this level of precision.
Mark Chung, CEO and Co-Founder at VerdigrisVerdigris' platform is currently deployed across mission-critical data centers for Fortune 500 companies throughout the United States, capable of detecting load anomalies, identifying power quality issues, and automating insights that drive energy savings.