Modern mountain bikes generate large amounts of technical data, but reading trail difficulty and bike status on a conventional dashboard forces riders to look away from the trail.
That visual distraction creates a real safety hazard during rides.
Trek and Loft developed a handlebar-integrated system built around an embedded Small Language Model that runs on CPU-only hardware with no cloud dependency. A conversational interface delivers real-time information and connects wirelessly to a helmet-mounted intercom, minimizing cognitive load. Riders receive route conditions, trail details, required skill levels, battery status and range forecasts by voice.
Embedded Small Language Model runs entirely on CPU with no cloud dependency.
Delivers route, trail difficulty, skill level, battery and range information by voice so riders stay focused on the trail.
Demonstrated as a working handlebar-integrated prototype at CES 2024.
- How Jewelbench Cut Jewelry CAD Modeling Time by 95%Ideas2IT Technologies · Manufacturing & Industrial
- How Superintelligent Interviewed 150 Staff for $500 With AIFractional AI · Technology & Software
- How Walmart Cut 18 Weeks From Fashion Design-to-ShelfHuman Machines Group LLC · Retail & E-Commerce
- How a Legal Tech Firm Won Back 7-Figure ARRBonsai Labs · Legal & Compliance