Skip to main content

BlackBerry invests in CerebrumX Lab AI deep learning for vehicle data

Firm says it will develop embedded in-car synthetic sensors to collect information
By Adam Hill April 12, 2023 Read time: 2 mins
Edge processing reduces need for 'cumbersome and costly' cloud computing (© Suwin Puengsamrong | Dreamstime.com)

BlackBerry has invested in connected vehicle data provider CerebrumX Lab.

CerebrumX says the money "will help it ramp up the delivery of new data-driven, in-vehicle products and services" for carmakers.

The company has an AI-based augmented deep learning platform (ADLP) that it says has been deployed on more than 45 million trips and captured more than 100 million miles of data.

With the new funding and by integrating with BlackBerry's cloud-connected, automotive AI platform - Ivy - CerebrumX will develop embedded in-car synthetic sensors to collect consented data and perform data processing at the edge.

This will allow fleets to monitor operations in real time while reducing total cost of ownership, as well as giving insurance providers the chance to offer personalised insurance plans based on active driver behaviour analysis.

Smart mobility solution providers will also be able to "offer optimised services based on individual vehicle data". 

As part of the investment, Vito Giallorenzo, general manager of Ivy and head of corporate development at BlackBerry, will join CerebrumX’s advisory board.

“CerebrumX has built a powerful and impressive data management platform, capable of sifting through millions of connected vehicles to enable smarter, data-driven business decisions," Giallorenzo says. 

Edge processing will avoid the need for "cumbersome and costly cloud computing resources", he adds.

CerebrumX is the fourth company that BlackBerry has invested in via its BlackBerry Ivy Innovation Fund.

For more information on companies in this article

Related Content

  • The AI revolution in transportation
    November 21, 2024
    Navigating the future of mobility means approaching AI as a powerful tool that, when wielded responsibly, can help us build transportation systems that truly serve people, says Alex Nesic
  • Vivacity to deploy traffic sensors in Australia 
    September 9, 2021
    Bicycle Network compares sensors to 1,000 people with clipboards and pens 
  • Bringing AI into ITS: Artificial realities
    May 21, 2025
    AI can have a positive transformative effect on transportation safety and efficiency – but if you want creativity you still need a person, says Huawei
  • Joining the dots: four ways to help cities make the connection
    May 18, 2018
    Smoothing the path to connected transportation systems in urban areas all round the world takes a lot of planning: Cisco’s Kyle Connor lays out the four key areas on which he thinks cities should focus. Forward-thinking cities around the world are exploring innovative, new ways to leverage the Internet of Things (IoT) and related technologies to create more connected and efficient transportation systems. Through greater digitisation and connectivity, cities can optimise public transit routes, reduce