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August 23, 2023 | Tom Ballard

FLUIX Inc. announces impressive results from its A.I.M.I. tool

The alum of Cohort 1 of the "Techstars Industries of the Future Accelerator" also has four paid pilots, is raising capital, and is participating in another accelerator program.

FLUIX Inc., a participant in Cohort 1 of the “Techstars Industries of the Future Accelerator” in Knoxville, recently announced that the company has achieved 33 percent in energy cost savings and 37 percent in potential CO2 savings in simulated tests.

The results were published in a white paper titled “Optimizing Nanyang Technological University’s Data Center with FLUIX’s AIMI.” This milestone is a major move for FLUIX on its mission to demonstrate its Artificial Intelligence for Managing Infrastructure (A.I.M.I.) can save data centers substantial energy costs, CO2 emissions, and freshwater savings. The white paper also showcases how FLUIX trained its artificial intelligence models on a trusted publicly available data repository from the Nanyang Technological University (NTU) Data Center.

This news comes on the heels of several other recent initiatives and accomplishments including:

  • Launching four paid pilots with colocation data centers and 4.0 manufacturing plants since March of this year;
  • Launching a pre-seed raise with a goal of more than $1.25 Million with 30 percent committed in less than a month;  and
  • Becoming one of 20 climate start-ups accepted into the Venture For ClimateTech Cohort 3 powered by NYSERDA, SecondMuse, and NextCorps which funds up to $100,000 in non-dilutive funding and support.

“We built A.I.M.I. to solve the biggest frustrations of colocation data centers to date,” said Abhishek (Abhi) Sastri, Founder and Chief Executive Officer of FLUIX. “The use of fragmented facility systems and software makes it incredibly difficult to be aware of inefficiencies and make accurate changes to the environment to drive energy cost savings. With A.I.M.I., we solve this problem at the core by integrating and optimizing facility systems that historically never spoke or worked with each other in real-time.”

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