Fracta
Business Intelligence (BI) Software · California, United States · 11-50 Employees
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Overview
Headquarters
257 Castro St Ste 210, Mountain View, Ca...Phone Number
(408) 901-8813Website
www.fracta.aiRevenue
<$5 MillionIndustry
About Fracta
Fracta Org Chart
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Fracta Tech Stack
A closer look at the technologies used by Fracta
Fracta News & Media
Fracta and Toho Gas start a Proof of Concept to predict gas pipeline deterioration
REDWOOD CITY, Calif., July 24, 2019 /PRNewswire/ -- Fracta, a California corporation and Toho Gas Co., Ltd. (Toho Gas) have reached an agreement to perform a Proof of Concept (PoC) using Fracta's proprietary algorithm to predict the condition of gas pipelines belonging to Toho Gas from...SUEZ PARTNERS WITH FRACTA TO PROVIDE LEADING-EDGE TECHNOLOGY TO ENHANCE PIPE ASSET MANAGEMENT PROGRAM
Managed Service Partnership Enables SUEZ to Incorporate Leading Edge Artificial Intelligence with Condition Assessment to Mitigate Aging Water Infrastructure Risk Managed Service Partnership Enables SUEZ to Incorporate Leading Edge Artificial Intelligence with Condition Assessment to Mitigate Aging Water Infrastructure RiskAI-powered Water Main Condition Assessment Software Development and Business Expansion into the UK
REDWOOD CITY, Calif., May 20, 2019 /PRNewswire/ -- Fracta and Marubeni Corporation (hereinafter "Marubeni"), a Tokyo Corporation, will conduct a Proof of Concept to develop a water mains condition assessment software which predicts the likelihood of water mains' failure in the United...Fracta Earns Esri Predicting Outcomes Award At 2019 Esri Partner Conference
Artificial Intelligence, Machine Learning, and GIS for Drinking Water Pipeline Condition Assessment REDWOOD CITY, Calif., March 21, 2019 /PRNewswire/ -- Fracta, a market leader in applying Machine Learning to assessing aging water infrastructure, was awarded the Esri® Predicting Outcomes...
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Frequently Asked Questions Regarding Fracta
FRACTA US specializes in providing AI-driven solutions for infrastructure management, specifically focusing on assessing the condition and risk of buried pipes. The company employs machine learning to predict failures, optimize budgets, and reduce risks to protect communities. Their target clients include infrastructure managers and decision-makers... Read More