Falco brings the e-Bike indoors to reach back to fitness crowd

Direct drive e-Bike technology firm Falco eMotors has announced it has been awarded a US Patent that captures a unique approach to “Indoor eBike Cycling Technology” through virtual reality integration. 

Claiming a ‘world first’, the Indoor/Outdoor eDrive delivers connected fitness experiences within the walls of a home and on the road. The new technology features an open platform, so users can connect with third-party cycling apps such as Zwift. The eDrive technology provides an e-cycling experience engineered to help riders get stronger with each workout.

“Our new Falco eDrive system is a game-changer in the eBike space. At almost zero cost, we’re giving eBike riders access to an unmatched connected indoor fitness experience. While we love the outdoor performance of our eBike system, indoor fitness capability and amazing integration elevate the ride and the rider both,” says Falco eMotors, Inc. CEO Rakesh Dhawan. “Our customers want the limitless technology and options, which is why we offer this amazing Falco eDrive platform, so they can ride outdoors and use their preferred digital training choices indoors for free. We also know from research that variety and freedom of choice play a role in keeping riders engaged, motivated, and ultimately fulfilled.”

An introductory offer includes $2,195 for the wheel, battery, trainer bundle, and $2,995 for its eCiti eBike. The limited-time offers include a 5-year warranty. The eDrive delivers a 40+ mile range and can achieve speeds of up to 28 mph outdoors where sold in the U.S.. With its lightweight lithium batteries mounted to the frame, a rider experiences unprecedented power in the ride.

Falco’s eDrive is said to provide a seamless experiences across all devices and empowers people with breakthrough renewal for commuting, joy riding, fitness, and conservation of the planet. Users can create a custom fitness program with Zwift, Trainer Road, or any favorite apps, or use Falco’s smartphone app and set performance limits based on individual metrics.