Univers Launches EnOS Ark 2.0 for Enhanced Energy Management

Oct 3, 2025
Univers has introduced EnOS Ark 2.0, a scalable AI solution for energy savings and carbon reduction, announced in a press release.

Univers has introduced EnOS Ark 2.0, a scalable AI solution designed to enhance energy savings and carbon reduction, announced in a press release. This advanced platform aims to accelerate decarbonization efforts by providing enterprises with real-time visibility and control across multiple sites.

Built on the EnOS platform, Ark 2.0 offers modular, enterprise-ready applications that connect meters, building systems, and IoT devices within weeks. The platform includes features such as AI-powered insights, natural language interfaces, and automated verification to ensure sustained and auditable savings.

Key components of Ark 2.0 include Resource Management for streamlined device setup, AI HVAC for optimizing existing systems, and Carbon Management for centralized Scope 1-3 management. Notably, Starbucks has already connected over 10,000 stores globally, optimizing HVAC, lighting, and water filtration through Ark.

Univers continues to lead in AI for energy, with EnOS Ark 2.0 now available to enterprise customers worldwide.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.