CogNovum retrofits existing real‑estate into high‑density data centers optimized for AI and edge workloads, using immersion cooling and modular designs to lower power usage and operational costs. Their platform provides hybrid, private, and colocation services that integrate on‑premises, edge, and public cloud resources, delivering low‑latency, sustainable compute infrastructure for enterprises and cloud providers.
Funding
Funding not disclosed
Founders
Product
Problem
Many existing data centers are energy‑inefficient, costly to operate, and unable to support the high‑density compute demands of modern AI workloads. Legacy facilities also occupy underutilized real‑estate, leading to wasted resources and higher carbon footprints.
Solution
CogNovum transforms underperforming real‑estate assets into next‑generation data centers optimized for AI and edge computing. By retrofitting buildings with advanced cooling technologies such as immersion cooling, the company delivers higher compute density while reducing power consumption and operational costs. Their platform offers hybrid, private, and colocation services that integrate on‑premises, edge, and public cloud environments, enabling customers to deploy sustainable, high‑performance infrastructure close to end users. This approach shortens latency, improves scalability, and aligns with corporate sustainability goals.
Target Audience
Primary customers are enterprises and AI‑focused technology firms that require high‑density, low‑latency compute infrastructure, as well as cloud providers and organizations seeking sustainable edge or colocation solutions.
Features
- Immersion cooling systems that increase rack density and lower PUE for AI hardware
- Modular retrofitting process that converts existing real‑estate into ready‑to‑use data center space
- Hybrid cloud architecture linking edge, on‑premises, and public cloud resources
- Private cloud services with customizable networking, security, and compliance controls
- Colocation offerings positioned at network edges to reduce latency for latency‑sensitive applications
- Integrated monitoring and analytics for energy usage, performance, and sustainability reporting