Oksana Sokolovsky, Co-Founder, Io-Tahoe
Rohit Mahajan, Co-Founder, Io-Tahoe
Oksana Sokolovsky is an ex Wall Street executive turned entrepreneur; an experienced CEO who achieved early stage acquisition. Sokolovsky is passionate about developing disruptive technology. Her technology expertise combined with business acumen, allows her to bring a unique perspective to developing innovative products, commercializing them, and taking them to market. She is a technologist with experience running large IT departments within leading global Financial Services firms, establishing and transforming technology functions, and leading global high performing teams. During her 20-year technology career, Sokolovsky has held a number of senior roles at JPMorgan Chase, Morgan Stanley, and Deutsche Bank, as well as United Health Care, Instinet, and Barnes and Noble.com. Most recently, Sokolovsky built disruptive data discovery technology, which was acquired by Centrica’s Io-Tahoe.
Rohit Mahajan is an ex Wall Street executive turned entrepreneur. Mahajan is passionate about developing disruptive technology for data discovery using machine learning. He is an experienced technologist with a proven track record of implementing global solutions at financial institutions for devops, testing, security and data center transformation. He has developed technical solutions for global implementation and led major technology initiatives to drive transformation. In his 20 year technology career, Mahajan has held a number of senior roles at Dun and Bradstreet, Morgan Stanley, and Deutsche Bank. Most recently, Mahajan built disruptive data discovery technology, which was acquired by Centrica’s Io-Tahoe.
Io-Tahoe is a pioneer in machine learning-driven smart data discovery products that enable organizations to discover data across a wide range of heterogeneous technology platforms, from traditional databases and data warehouses to data lakes and other modern repositories, helping enterprises trace data elements across their systems in spite of outdated metadata definitions. The product utilizes machine learning algorithms to dramatically increase the accuracy, intelligence and speed of learning of complex data elements and data relationships throughout the entire business environment.
Our product has been custom-built by a team with a deep understanding of data challenges, giving us first-hand insight and appreciation into our customers’ diverse and complex data needs. Our product is particularly valuable to businesses with large numbers of customers and diverse data sets, such as those in the financial services, utilities, retail, transportation, insurance, healthcare, and manufacturing industries.
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