Ripjar was founded in 2012 by engineers and data scientists from the UK Government Communications Headquarters (GCHQ) in Cheltenham. Ripjar’s next-generation Strategic Intelligence Platform (“Ripjar SI”) fuses deep learning technology, advanced analytics and global data collection to tackle some of the most difficult analytic problems for real-time threat intelligence, anti-money laundering and insider threat. The diversity of problems, scalability and usability of Ripjar technology in the enterprise sector uniquely sets a path for growth.

Tom Griffin, Ripjar CEO, said: “Thanks to the continued investment and support from Winton Ventures, Ripjar will be able to grow globally in 2017, where we will be investing in our vision to create the next generation of threat intelligence for the enterprise. Priorities will include expanding Ripjar’s global partner network and sales team, as well as creating a number of problem-centric applications that will build upon the foundations of Ripjar’s core platform.”

The changing threat landscape seen across both the security and compliance functions in the financial sector and the continuing struggle of competitive solutions that are unable to provide focused all-source threat intelligence provides Ripjar with an ideal opportunity for significant growth in 2017.

Anthony Daniell, Winton’s Vice Chairman, has agreed to become Ripjar’s Chairman. Anthony said “I am delighted to accept this appointment. I believe my extensive experience in the financial world will enable me to make a significant contribution to Ripjar. In the month or so since my appointment, it is already clear from multiple meetings with clients that Ripjar has world leading products.” Anthony Daniell started his career in the British Army before joining UBS and, in 2003 joined Winton.

Nick Saunders, Winton’s COO, commented: “We have been impressed by the quality and depth of the Ripjar team, and feel they have a product to really compete with the incumbents. Their Strategic Intelligence platform addresses a growing demand among compliance and information security practitioners to extract meaning from very large and diverse data sets.”