Lyft Leverages Hivemapper's DePIN Application to Capture Street-Level Mapping Data

Lyft, a ride-sharing company with over 2 million drivers, will leverage Hivemapper, a Solana-based DePIN application, as a low-level, street-focused mapping solution.

Rideshare giant Lyft has partnered with startup Bee Maps to bring together cutting-edge mapping solutions with the company’s fleet of over 2 million drivers. The partnership will see solutions from Hivemapper, a Solana-based DePIN application, employed by Lyft to provide low-level, street-focused mapping.

Lyft Partners With Bee Maps to Capture Street-Level Mapping Data

Lyft, the ridesharing company with over 2 million drivers in the U.S. and Canada, has decided to employ a Decentralized Physical Infrastructure Network (DePIN) project to keep its street-level map data up to date.

Announced on Monday, the partnership will see solutions provider Bee Maps, which leverages Hivemapper to capture fresh, street-level mapping data for navigation tasks, brought into the fold. According to a blog post, the two parties have been working together since earlier this year, and the partnership will include coordination across map engineering team members in the U.S. and Europe.

Employing Hivemapper through Bee Maps will help drivers and riders move more smoothly with fresh and accurate street-level data in a decentralized manner. The move might also see Lyft preparing to launch autonomous riding solutions that rely on these maps to achieve more intelligent mobility.

Highlighting the essence of this development, members of Hivemapper pointed out that this will allow Lyft to keep its map data in a state of constant update. “We’re proud to see Lyft relying on our network to help build and maintain its maps. The best ride-hailing marketplaces want the freshest map data,” Hivemapper stated.

However, Ariel Seidman, co-founder and CEO of Bee Maps, added that this movement marks the shift away from old mapping solutions, which lack the means to keep their data updated. Due to this limitation, the latter are unable to detect detours, signage, road features, or new construction details relevant for achieving efficient navigation and optimum ride times.

“Lyft recognized that old-school mapping couldn’t keep up with the real world. For mobility to work and for autonomy to become reality, maps can’t be an afterthought—they need to be crowdsourced, live, accurate, and open,” Seidman stated.

On May 8, Hivemaps reached a new milestone, having registered over 500 million kilometers mapped since its service began.