Bengaluru-based Obin Electric has expanded its electric motorcycle portfolio with the launch of the new Rorr Evo. The motorcycle has been introduced for the first 1000 customers at an introductory price of Rs 99,999, ex-showroom, after which it will be priced at Rs 1.25 lakh, ex-showroom. Bookings are now open for a token amount of ₹777, with deliveries scheduled to commence from June 2026.
Obin Roar EVO : All you need to know.
Starting with the design, the bike offers a clean, street fighter look. Up front, it looks a bit robotic. Thanks to the V-shaped LED DRLs positioned above the round headlamps. It also gets a sharp, aggressive headlamp housing. The tank area is sculpted with angular extensions followed by a slim, stepped seat. It features many sharp panels and exposed elements.At the heart of the Rorr Evo is a 3.4 kWh LFP battery, paired with an in-house developed electric motor. The bike offers a claimed IDC range of 180 km on a single charge and can reach a top speed of 110 kmph. Fast charging is another highlight, with the battery capable of charging from 0 to 80 percent in just 90 minutes using a fast charger.It features a 780mm seat height and 200mm ground clearance, in addition to offering a 680mm long seat with a total storage capacity of 10 litres, including underseat and tank-mounted storage.
In terms of hardware, the bike uses a telescopic front fork and a monoshock rear suspension setup. Braking duties are handled by disc brakes at both ends, supported by Unified Brake Assist (UBA) and Driver Alert System (DAS). The motorcycle also gets a reverse mode, which can be useful in tight parking situations.In terms of features, the Rorr Evo is equipped with a 5-inch color TFT display that offers ride data, navigation and smartphone connectivity for calls, texts and music. Additional features include geo-fencing, theft alerts, ‘Find My Bike’ functionality and fall detection with emergency alerts via the companion app.Oben has also introduced its SmartiQ system, an AI-based ride mode that adapts to riding patterns in real-time to improve performance and extend range.
