Singapore, 2 October 2025 – Univers, the global leader in AI for Energy, today announced EnOS™ Ark 2.0 (Ark), its most advanced solution for enterprises to accelerate decarbonisation with verified savings and compliance-ready carbon intelligence.
Recently named a Leader in the 2025 Gartner® Magic Quadrant™ for Industrial IoT Platforms, Univers continues to set the benchmark for applied AI in energy and sustainability.
Built on the EnOS™ platform, Ark is a modular, enterprise-ready application designed for scale. Unlike traditional systems that take months or years to configure, Ark connects meters, building systems, and IoT devices in weeks. Enterprises gain real-time visibility and control across sites, with AI-powered insights, natural language interfaces, and automated verification to ensure savings are sustained and auditable.
- EnOS™ Ark Resource Management – AI-powered onboarding that streamlines device setup, with built-in data quality monitoring, instant fleet-level insights, and automated optimization and verification. Starbucks has connected over 10,000 stores worldwide, optimizing HVAC, lighting, and water filtration through Ark.
- EnOS™ Ark AI HVAC – Next generation AI-driven automated optimization of existing HVAC systems, delivering up to 20% reductions in energy use and millions in annual cost savings.
- EnOS™ Ark Carbon Management – Centralized Scope 1–3 management with an AI assistant for rapid application development, enabling data extraction, gap repair, and the generation of verification-ready compliance reports.
“With EnOS™ Ark 2.0, integrating AI and GenAI across its unified cloud-edge IIoT platform enables autonomous industrial operations and intelligent full life-cycle device management, acting in real time to accelerate the net zero journey,” said Michael Ding, Global Executive Director, Univers.
EnOS™ Ark 2.0 is now available to enterprise customers worldwide.
AI is emerging as a powerful enabler of energy efficiency across industries and cities. By analyzing real-time data from sensors, smart meters, and connected systems, AI can optimize energy consumption, predict demand patterns, and reduce waste. In buildings, AI-driven systems automatically adjust lighting, heating, and cooling for maximum efficiency. In manufacturing and utilities, predictive analytics helps minimize downtime and improve resource utilization. Smart grids use AI to balance supply and demand, integrate renewable energy, and enhance resilience. As sustainability becomes a priority, AI is playing a critical role in lowering costs, reducing carbon emissions, and enabling smarter, greener energy ecosystems.
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