Have you ever wondered how autonomous vehicles (AVs) perceive the world around them, and how we can be sure they’ll see and respond to everything humans can. On 31st March 2021, the Department for International Trade sponsored a CoMotion LA event titled ‘Safety Testing for AVs: Dropping a Stock Tesla into Virtual Reality’, during which […]
The dRISK CEO Chess Stetson and Business Development manager Rav Babbra, chat to Leon Daniels OBE from ITT Hub about their work with the government-owned Centre for Connected and Autonomous Vehicles (CCAV). We hear how they have been tasked by the UK government, through the CCAV to build the ‘ultimate driving test’ – not for […]
dRISK are delighted to announce that we have been accepted onto the London & Partners Mayor’s International Business Programme, supported by the Mayor of London. The programme helps London-based scaleups, like dRISK expand internationally by providing access to mentorship, expert advice, virtual trade missions, focused e-workshops and events, as well as introductions to potential new […]
At dRISK.ai, we have been monitoring social distancing in real-time throughout the COVID-19 pandemic using CCTV feeds from London, and we have created a web-app available here. We had been tracking vehicle and pedestrian interactions for detecting transportation edge cases, and we repurposed this technology to detect social distancing across London at the start of the […]
We have been looking out for new talent to join our team in London all summer and we’re very happy that two highly skilled graduate engineers have now accepted our offer. Hugh Blayney recently completed his MSc in Computer Science at Oxford University with a dissertation on Graph Neural Networks. He is now working on […]
dRISK announced today that it closed a $675k funding round. The lead investor is Okapi VC and additional investment came from Netsu Equity, SaaS Ventures and Poetic Partners. We are incredibly proud to have found such competent partners who can also provide valuable technical, operational and legal expertise. Also read: Safety Testing for AVs
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.
