About Us

Vision - Our vision is to enable Business users derive the true potential of BigData by giving them the ability to derive deep actionable insights on vast amounts of disparate data types with a level of ease and speed that would make us the next Google on enterprise level data.

Culture - We are a nimble startup built on the foundations of rapid innovation and sailing fast to deliver value that truly solves business problems



  • Virinchi Garimella CEO & Founder

    Seasoned Professional with 22+ years of IT experience. In his last assignment, at CtrlS, India’s first and only Tier-IV datacenter, he held the role of Vice President-CRM and contributed to Service Delivery, Operations, Training & Quality departments.

  • Venkat VasireddyCTO & Co-Founder

    A true technology enthusiast with expertise in Java, J2EE, C++.Mr.Venkat comes with 14+ years of experience in the IT industry, out of which over 5+ years of experience working in Sweden with leading companies like Schneider Electric, Ericsson, Qvantel etc. Played the role of enterprise architect at all these places.

  • Dr. Sudhakar Varanasi Chief Strategic Advisor

    Dr Sudhakar Varanasi studied at IIT Kharagpur (1969-74) and obtained a Ph.D. from Indian Institute of Science, Bangalore. He published several technical papers in National and International journals of Science and Engineering. He moved to the Corporate sector in 1991 and was a founding director of Tiger Software.

  • Kraig Alexander Director of Business Development

    Over 20 years of Global Account Management and Business Development experience US, global MNCs and startup ventures. Worked with AT & T, Verizon in the past.

  • Dr. Ravi Cheruvu Chief Data Scientist

    Alum of IIT Madras and PH.D in NLP. 27+ years of work experience in several companies such as ASCI, CMC, IBM, EDS, NEC etc. Was a visiting scientist at Carnegie-Mellon University. Published papers in international and national conferences in the areas of NLP, Multi-lingual Information Retrieval, Search Engines, and Parallel Processing.

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