ElectrifAi,a Leading Provider of Solutions Powered by Machine Learning.
ElectrifAi mission is to empower people with data. As a turnkey provider of solutions that are powered by machine learning, ElectrifAi can help their clients extract meaningful insights from large and complex datasets.
We believe in the power of technology to improve lives. That’s why we provide state-of-the-art software to our clients that is custom designed for every need—from navigation, healthcare, security or telecommunications—to ensure they can make data driven decisions with confidence.
Explore our site and learn how ElectrifAi is transforming what’s possible in the world today!
it is a leading provider of solutions powered by machine learning – helping organizations make smart decisions based on big data analytics. With services that span from Machine Learning to Predictive Analytics, we transform unstructured big data into valuable insights that can be used to improve decision-making and solve business problems.
We partner with our clients to help them achieve their objectives. Some of the notable companies we work with are:
Gemalto (a digital security company), Ericsson (a telecommunications multinational company), FICO (an analytics software developer), United States Department of Transportation, Air Europe, Pfizer Pharmaceuticals, etc. We have been featured in many leading media channels including Financial Times, Forbes Magazine, TechCrunch, Business Insider and MIT Technology Review.
We believe in the power of technology to improve lives. That’s why we provide state-of-the-art software powered by machine learning to our clients.
ElectrifAi is an alternative investment fund that invests in Artificial Intelligence related companies. It has been founded by two entrepreneurs with an extensive experience in AI & ML with successful exits in the past. The company has a research lab with expertise in AI and ML, located at TU Munich. In addition, it employs the services of multiple data science faculty at TUM as well as three full-time PhD students from the same university.