dRISK Launches Cloud-based Product to Control AI Through Data

8th Jan 2024 dRISK

At CES 2024, dRISK is launching a new product for interacting with AI. For the first time, users will be able to leverage complex data structures across multiple data sources and fuse the data into ad-hoc graph databases without the need of ETL. Best of all, users can leverage AI to ask any question of the data, find unknown unknowns, make sophisticated predictions and more, all  without a line of code. 

Edge is a completely new, hyperdimensional, no-code, graph-based visuospatial interaction environment in which humans and AIs can interact.  dRISK’s technology has been used successfully in the hypercomplex Autonomous Vehicle industry for years.  The Edge platform  has allowed dRISK’s AV customers to whitebox their AI, remove bias, and ensure functionality on mission-critical tasks. dRISK is now opening this groundbreaking software to the general public, who can join a wait list here.

dRISK’s enterprise customers gain access to the same capabilities scaled up for the enterprise and with massive data enrichment, providing AI-enabled ETL and data fusion, at-their-fingertips access to valuable insights across even the most complex datasets, and total observability and no-code queries.

For more information please contact: Or enquire using the waitlist sign up form here.

Notes to editors:

  • dRISK, a California- and London-based company with a history of developing deep tech solutions for Autonomous Vehicle training, is launching a public-facing version of its AI interaction product, Edge, at CES 2024. 
  • dRISK has offices in London, England and Pasadena, California. Their customers include the world’s leading Autonomous Vehicle developers. Their investors include Foresight Williams, Okapi Ventures, and  SaaS Ventures.
  • dRISK also lead the DeepSafe consortium, along with partners rFpro, Claytex, DG Cities and Imperial College London and with funding from the UK government department the Centre for Connected and Autonomous Vehicles (CCAV), to solve the last remaining hurdles standing in the way of safe, economical autonomous vehicles.