Fracta uses machine learning and big data to optimize infrastructure investments – starting with a water main pipe replacement prioritization solution for U.S. water utilities. There are more than one million miles of water main pipe in the U.S., most of which are forecasted to reach the end of their life cycle by 2050. This is a $1 trillion problem for the 50,000 water utilities in the U.S. and the consumers they serve.
Fracta’s machine learning-powered intelligence tool offers the most scalable solution for utilities looking to accurately assess pipe replacement needs, forecast risk and control spending. Fracta will give utilities the most comprehensive view of conditions allowing them to optimize replacement decisions and reduce liability by 40 percent or more between now and 2050.
Takashi Kato is the Co-founder, President and CEO of Fracta, Inc. Previously, Takashi was CEO of HiBot Japan as well as the co-founder & CFO of SCHAFT Inc., the humanoid robotics venture which was awarded first prize at the 2013 U.S. DARPA Robotics Challenge Trials. SCHAFT was acquired by Google in the same year. Takashi is a visiting scholar at Stanford’s US-Asia Technology Management Center, holds a B.Eng. degree in applied physics from Waseda University and a MBA from the Australian National University.
Lars Stenstedt is Co-founder and COO of Fracta, Inc. Lars brings over 25 years of sales, business development and engineering experience, with a focus on big data and cloud computing environments. Prior to HiBot, Lars was the head of sales for Adaptive Computing and held similar roles with Aircom, Bytemobile and Openwave. Lars holds a BS degree in Mechanical Engineering from Stanford University, and an MBA from the Haas School of Business, University of California, Berkeley.