…to central London dRISK’s London team is growing again and has moved to new offices to central London. Following the successful closure of our Super Seed funding round with Foresight Williams and Stantec, we have been growing our engineering team as a means to scale up and also develop exciting new functionality within the business. […]
dRISK have been chosen as one of the eleven startups to be selected for the latest batch of companies who will be working with the MobilityXlab and expert partners. MobilityXlab offers startups a fast track into a potential strategic partnership with their seven industry partners; Volvo group, Volvo Cars, Zenseact, CEVT, Ericsson, Polestar and Veoneer. […]
Foresight Williams Technology leads the £1.7m super-seed round funding which will support further expansion of the business. 26 May 2022, London: Foresight Group (“Foresight”), a listed private equity and infrastructure investment manager, is pleased to announce a £1 million investment into dRISK (“the Company”), an autonomous vehicle (“AV”) testing and training company. The investment was […]
The society of Automotive Engineers or SAE as they are better known have published a paper jointly authored by ∂RISK and Hitachi Europe. The paper is titled “Virtual Verification of Decision Making and Motion Planning Functionalities for Automated Vehicles in Urban Edge Case Scenarios” [2022-01-0841] Despite recent advancements in Automated Driving Systems (ADS), the deployment […]
We are delighted to announce that we have been awarded stand space at this years Consumer Electronics Show in Las Vegas (CES 2022). CES is highly regarded and the world’s largest and most influential technology show. The British government’s grant funding agency, Innovate UK ran a competition looking for companies that would show case the […]
We are honoured and delighted to have been successful in our application to be part of the 2021 Intel Ignite program. This prestigious global start up program run by the American multinational technology company Intel is highly regarded in the technology and innovation space. After some challenging interviews and pitches, we are proud to have […]
AI Engineer. Federico completed his MSc in Artificial Intelligence at the University of Edinburgh in 2021, with an emphasis on Deep Learning applied to Natural Language Processing and Computer Vision. His dissertation focused on developing an Unsupervised Synthetic Data Generation architecture with Unity, to generate synthetic data that closely resembles a set of real data, and can be used to train Computer Vision models. Prior to this, he earned an MSc in Mechanical and Industrial Engineering at Arts et Métiers ParisTech in France.
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