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- dRISK - AI Canvas
dRISK leverages patented knowledge graph technology with years of experience improving safety-critical AI systems in autonomous vehicles Upon upload, all your data sources are automatically fused into one knowledge graph with a dynamic schema and single source of truth
- Meet the team | dRISK
dRISK was founded to create the ultimate driver’s test for autonomous vehicles Since starting in 2019, we’re growing our super star team in London and Pasadena
- dRISK Launches Cloud-based Product to Control AI Through Data
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
- Autonomous Vehicles - dRISK
Be it scenario data, real-life recorded data, or a list of ODD feature observations, dRISK Edge enables customers to import and extract insights from vast amounts of heterogeneous data, all in one place
- What are Edge Cases? - Edge cases in Avs - dRISK
But now that we have them all in one place, we have substantially all the edge cases that autonomous vehicles need to be exposed to Illustration of dRISK method of drawing an optimal AV test sequence from a comprehensive taxonomy of edge cases
- Blog
By Hugh Blayney Introduction Here at dRISK, we want to help people understand the “brains” behind AI In this blog post, we’ll use dRISK’s Edge software to examine an Autonomous Vehicle (AV) use case, and diagnose an underlying data problem
- dRISK awarded share of £81M to commercialise Connected and Autonomous . . .
Industry consortia will match the public grant to around £81 million and will be expected to demonstrate a sustainable commercial service by 2025 dRISK play a pivotal and safety critical role in two of these projects:
- Contact - dRISK
dRISK is testing and training Autonomous Vehicles to make AVs safe in the modern world We train Autonomous Vehicles to respond to high risk events and beyond
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