
dRISK
Founded Year
2019Stage
Incubator/Accelerator - III | AliveTotal Raised
$2.2MMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-48 points in the past 30 days
About dRISK
dRISK focuses on data analytics and knowledge graph technology within the autonomous vehicle and enterprise AI sectors. The company provides a platform that integrates various data sources into a knowledge graph, allowing users to perform queries and identify risk patterns without coding. dRISK's offerings are applicable for sectors such as healthcare, autonomous vehicles, auditing, and risk analysis. It was founded in 2019 and is based in London, England.
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Expert Collections containing dRISK
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
dRISK is included in 3 Expert Collections, including Auto Tech.
Auto Tech
2,294 items
Companies working on automotive technology, which includes vehicle connectivity, autonomous driving technology, and electric vehicle technology. This includes EV manufacturers, autonomous driving developers, and companies supporting the rise of the software-defined vehicles.
Fintech
14,203 items
Excludes US-based companies
Artificial Intelligence (AI)
16,409 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
dRISK Patents
dRISK has filed 6 patents.
The 3 most popular patent topics include:
- artificial intelligence
- machine learning
- artificial neural networks

Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
9/10/2020 | 12/24/2024 | Graph databases, Structured storage, Free database management systems, Database management systems, NoSQL | Grant |
Application Date | 9/10/2020 |
|---|---|
Grant Date | 12/24/2024 |
Title | |
Related Topics | Graph databases, Structured storage, Free database management systems, Database management systems, NoSQL |
Status | Grant |
Latest dRISK News
Feb 28, 2025
28 February 2025 Connector, a pilot of autonomous buses in Cambridge, has entered a world of online simulation and testing supported by two key members of the Greater Cambridge Partnership (GCP)-led consortium. dRISK and IPG Automotive, are working together to create online simulations to predict and analyse different scenarios that Connector buses will find themselves in during their on-road trials. Through collaboration, they are looking to identify levels of risk before any real-life testing with the vehicles takes place – ensuring safety remains at the forefront of the autonomous bus trial . Andy Williams, Chair of the Greater Cambridge Partnership’s Smart Working Group said: “We’re moving forward with our Connector project which is exploring the use of autonomous buses to potentially become part of Cambridge’s public transport system. Our partnership with government and industry recognises testing of autonomous vehicle (AV) technology before the buses carry passengers is essential for us to understand how autonomy can support a greener, more efficient transport network across Greater Cambridge. “We know how exciting AV technology is but we also know that simulation work like this offers a safer, faster, and more cost-effective way to trial the hundreds of scenarios autonomous buses may encounter. This kind of thorough testing allows development and deployment projects such as Connector to further refine the most critical things that need to be tested in the physical world. “Together, dRISK and IPG are helping the Connector project understand how and where system technology or vehicle updates and additional tests in the real-world can enhance safety for road-users and passengers as they experience travelling on an autonomous vehicle.” dRISK is using advanced data-modelling techniques to analyse risk levels on the chosen AV service routes. By collecting comprehensive data from existing road traffic accident reports, insurance records, and real-world autonomous vehicle incidents elsewhere, dRISK are able to identify and highlight high-risk scenarios that Connector vehicles might encounter on their journeys around Cambridge. Chess Stetson, CEO of dRISK, said: “We provide a platform called Conode that fuses together data from lots of sources including AV simulations. The platform finds areas of potential failure and then generates new scenarios to test on so that we can totally cover the scenario space. IPG Automotive is providing the simulation tools, digital infrastructure and expertise to analyse any vehicle configuration on countless driving scenarios and edge cases, mitigating the risks of the initial deployment. Miriam Wale, marketing & events manager at IPG, said: “Cambridge can look forward to having greater options available for those travelling around the city whilst being part of this pioneering trial bringing autonomous self-driving buses into reality. "Our TruckMaker software replicates high-risk situations in a virtual space. This allows us to test the vehicle’s reaction to scenarios in a multitude of circumstances such as dry, wet, icy, or snowy conditions, during the day or at night, and on busy or quiet roads. Doing this enables the autonomous technology to respond and adapt to real-world complexities without the need for physical trials under every circumstance.” To learn more, watch our short video that explains the simulation work going on behind the scenes for Connector.
dRISK Frequently Asked Questions (FAQ)
When was dRISK founded?
dRISK was founded in 2019.
Where is dRISK's headquarters?
dRISK's headquarters is located at 136 High Holborn, London.
What is dRISK's latest funding round?
dRISK's latest funding round is Incubator/Accelerator - III.
How much did dRISK raise?
dRISK raised a total of $2.2M.
Who are the investors of dRISK?
Investors of dRISK include Plug and Play, Foresight Group, Stantec, Intel Ignite, Tech Nation Applied AI and 3 more.
Who are dRISK's competitors?
Competitors of dRISK include Applied Intuition and 7 more.
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Compare dRISK to Competitors

Foretellix provides data automation for the development of AI-powered autonomous vehicle (AV) technology within the automotive sector. The company has a toolchain, Foretify, that supports the training and validation of AV stacks by using curated real-world data, synthetic data generation, and scenario-based testing. Foretellix serves sectors that require verification and validation for autonomous vehicles, including automotive, trucking, and mining industries. It was founded in 2017 and is based in Ramat Gan, Israel.

Applied Intuition focuses on vehicle software development and simulation for the automotive and transportation industries. The company provides tools for developing, testing, and validating driver-assistance systems (ADAS) and automated driving (AD) technologies, along with a platform for managing vehicle software. Applied Intuition serves sectors including automotive, trucking, defense, construction, mining, and agriculture. It was founded in 2017 and is based in Mountain View, California.

Ottometric provides AI-based validation and training for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AVs) in the automotive technology sector. The company offers a software platform that focuses on the validation process, including data collection optimization, AI training data selection, and performance analysis for ADAS/AV systems. It serves original equipment manufacturers (OEMs) and autonomous vehicle designers. It was founded in 2018 and is based in Waltham, Massachusetts.

Alpha Drive provides quality assurance tools for artificial intelligence in the cloud computing sector. The company offers a platform that offers cloud-based data and tools for testing and validating AI algorithms, with a focus on the development lifecycle for AI developers, including cloud simulation and agent evaluation. Its clients include developers, insurers, regulators, and companies seeking evaluation services. It was founded in 2017 and is based in Brooklyn, New York.

Deepen AI specializes in multi-sensor data labeling and calibration tools for the autonomous systems industry. Its main offerings include services and tools for AI data annotation, sensor calibration, and machine learning data preparation to enhance the development of autonomous vehicles and robotics. Deepen AI primarily serves sectors such as the autonomous vehicle industry and robotics. It was founded in 2017 and is based in Santa Clara, California.

Teraki develops mobility solutions using edge AI and machine learning within the automotive and robotics sectors. The company provides software development kits for integration, which improve existing sensing devices by allowing data preprocessing. Teraki's technology serves industries that need autonomous systems, such as automotive, industrial drones, and warehouse logistics. It was founded in 2014 and is based in Berlin, Germany.
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