Skip to main content

Drover AI raises $5.4m

Money will be used to scale delivery on existing orders and integrate new technology
By Adam Hill August 3, 2022 Read time: 2 mins
PathPilot is currently fitted to more than 5,000 shared scooters (image: Drover AI)

Micromobility tech firm Drover AI has closed on a $5.4 Series A funding round.

Led by Vektor Partners, the round had participation from seed investors including Avesta Fund, Masik Enterprises and Kurt Jaggers, which join existing investor 500 Global.

“We are very fortunate to have secured the support of Vektor Partners on our mission to leverage computer vision and artificial intelligence for the benefit and long term success of micromobility,” said Christian Scheder-Bieschin, co-founder and CEO of Drover AI.

Drover AI's first product, PathPilot, uses on-board computer vision (CV) and machine learning (ML) on scooters to detect sidewalks, streets and bike lanes while the vehicle is moving and ensure that riders park properly at the end of their journey.

The PathPilot box is deployed on over 5,000 shared scooters in the US, Asia and Europe with operators including Spin, Voi, Beam, Dott and Helbiz.

Drover AI will use the funds to scale the delivery on existing orders, and accelerate the integration of its new PathPilot Lite technology with vehicle and IoT manufacturers for next-generation micromobility vehicles.

“The team at Vektor contributes genuine strategic knowledge of the mobility space as well as an understanding of the huge potential value that exists in harvesting vision-based data from fleets of micromobility vehicles," Scheder-Bieschin adds.

“Micromobility is a big market, and it will continue to grow rapidly throughout this decade," said Chris Riley, partner and co-founder at Vektor Partners.

"Working closely together with cities has hereby become a crucial element in establishing sustainable micromobility service offerings."

Alex Nesic, co-founder of Drover, said the firm is "involved with manufacturers of all types of micromobility form factors, with interest to incorporate our proprietary CV/ML
technology to meet growing rider and pedestrian safety initiatives".

For more information on companies in this article

Related Content

  • Toyota Research Institute boosts autonomous vehicle development team
    March 11, 2016
    Toyota Research Institute (TRI), which is developing which is artificial intelligence and autonomous vehicles, has hired the software engineering team of Massachusetts-based Jaybridge Robotics, which has focused on reliable automation of industrial vehicles, working with partners across a range of industrial applications including agriculture, mining, marine, and rail. The former Jaybridge team has joined TRI's Cambridge, Massachusetts, facility. Like everyone else at TRI, they will be working closely wi
  • Flir boosts traffic flow with TrafiBot AI camera
    May 13, 2024
    It uses two proprietary AI models developed from millions of Flir-captured images
  • Camera technology a flexible and cost-effective option
    June 7, 2012
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti
  • Multimodal link-up in Vancouver
    July 2, 2024
    Metro Vancouver sees the value in seamless travel between modes and is pushing ahead with a new pilot designed to make it a reality. David Arminas reports on the RideLink project