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About Us

Our Story

Founded in 2005, BriskPoint is a smart technology company providing Artificial Intelligence (AI), Machine Learning (ML), Big Data, Cloud Computing, Blockchain, and Cybersecurity solutions to enterprise customers. Our team consists of experienced business executives, computer scientists, data scientists, software engineers, and industry veterans with deep domain knowledge. 


Leon Wu, PhD

​Dr. Leon Wu is the Founder, Chairman and Chief Executive Officer of BriskPoint. Dr. Wu is an accomplished senior scientist and serial entrepreneur. Prior to starting his own companies, Leon worked in the technology, financial, energy, industrial, and media industries in U.S., Canada and China, including Microsoft, Accenture, Morgan Stanley, Royal Bank of Canada, Con Edison of New York, U.S. Department of Energy, General Electric, Leonardo, and WPP. Dr. Wu received his PhD, MPhil and MS in Computer Science from Columbia University and has worked for Columbia University as a senior researcher for several years. With a strong academic research background, Dr. Wu has published dozens books, journal articles, conference papers and technical reports. He is also an inventor of over ten U.S. patents. His work has been featured by Bloomberg, National Science Foundation, U.S. Department of Energy, IEEE, and Computer magazine.

Dr. Wu's publications are listed on:

Dr. Wu's LinkedIn page is on:


  1. Energy Analytics Learning Machine. U.S. Patent No. 10,699,218 (Granted)

  2. Petroleum Analytics Learning Machine System with Machine Learning Analytics Applications for Upstream and Midstream Oil and Gas Industry. U.S. Patent No. 10,430,725 (Granted)

  3. Electric Grid Analytics Learning Machine, U.S. Patent No. 11,074,522 (Granted)

  4. Machine Learning for Power Grid. U.S. Patent No. 8,751,421 (Granted)

  5. Metrics Monitoring and Financial Validation System (M2FVS) for Tracking Performance of Capital, Operations, and Maintenance Investments to an Infrastructure. U.S. Patent No. 8,725,665 (Granted)

  6. Metrics and Semiparametric Model Estimating Failure Rate and Mean Time Between Failures. U.S. Patent Application No. 14/047,879

  7. Total Property Optimization System for Energy Efficiency and Smart Buildings. U.S. Patent Application No. US 14/341,718

  8. Adaptive Stochastic Controller for Energy Efficiency and Smart Buildings. U.S. Patent Application No. US 14/203,151

  9. Forecasting System Using Machine Learning and Ensemble Methods. U.S. Patent Application No. US 14/707,809

  10. Adaptive Stochastic Controller for Dynamic Treatment of Cyber-Physical Systems. U.S. Patent Application No. US 14/177,020

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