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

  • Embedded connectivity delivers real time travel information
    February 3, 2012
    Ton Brand describes the GSM Association's Embedded mTelematics programme. As the world's roads become increasingly crowded, consumers and businesses are demanding better real-time information to help them both avoid traffic congestion and make smarter use of public transport. Embedding mobile connectivity directly into vehicles can enable drivers and passengers to see live traffic flows in their localities, as well as the expected arrival time of the next bus, ferry or tram
  • Advancing traffic management for smart cities
    September 3, 2024
    Promises of increased safety, less pollution, increased productivity and a better quality of life in smart cities are just too good to be ignored. Dany Longval of Teledyne Flir talks through some of the challenges
  • AI-InfraSolutions and Stemmer go the full 360°
    November 13, 2024
    Panoramic camera head designed for automated data collection in traffic applications
  • Why integrated traffic management needs a cohesive approach
    April 10, 2012
    Traffic control is increasingly being viewed as one essential element of a wider ‘system of systems’ – the smart city. Jason Barnes, Jon Masters and David Crawford report on latest ideas and efforts for making cities ‘smarter’ Virtually every element of the fabric and utilitarian operations that make urban areas tick can now be found somewhere in the mix that is the ‘smart city’ agenda. Ideas have expanded and projects pursued in different directions as the rhetoric on making cities ‘smarter’ has grown. App