FLUIX is an autonomous AI software platform that integrates fragmented facility systems, such as HVAC and water management, to optimize energy consumption in data centers. By employing dynamic set point and load balancing controls, FLUIX can reduce energy costs by up to 40%, enhancing operational efficiency and sustainability.
Funding
$490K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IVTBFounders
Product
Problem
Data centers often operate with fragmented management systems for HVAC, power, water, and servers, leading to suboptimal energy consumption. Manually calculating key performance indicators (KPIs) like PUE, WUE, and CUE is time-consuming and does not provide real-time insights for optimization. This results in increased operational costs and hinders sustainability efforts.
Solution
FLUIX offers an autonomous AI software platform, A.I.M.I., that integrates previously fragmented facility systems within data centers to dynamically optimize energy consumption. The platform employs dynamic set point and load balancing controls, enabling the AI to autonomously learn and optimize the data center environment across all connected systems. By connecting to existing HVAC, lighting, water, and server systems through an agnostic integration layer, FLUIX facilitates communication and coordinated operation between these systems. The platform provides real-time data and AI-driven insights, automatically calculating and displaying critical metrics such as PUE, WUE, and CUE, along with actionable recommendations for improvement.
Target Audience
The primary target audience includes data centers seeking to reduce energy costs, improve operational efficiency, and enhance sustainability through AI-driven automation.
Features
- Autonomous AI-driven optimization of data center resources
- Agnostic integration layer for connecting fragmented HVAC, lighting, water, and server systems
- Dynamic set point and load balancing controls for real-time adjustments
- Real-time monitoring and reporting of key metrics such as PUE, WUE, and CUE
- AI-powered insights and recommendations for energy efficiency improvements
- 24/7 autonomous control to maintain continuous optimization