Who you work with#
Two-wheeler commuters, gig delivery workers, rural two-wheeler operators, and community road-safety advocacy groups who navigate poorly illuminated, unpaved, or weather-damaged roadways daily without structural vehicular cabin protection.
The situation#
Standard navigation apps guide drivers purely on map coordinates without recognizing physical road conditions. Drivers frequently turn onto degraded rural paths, narrow trails, mud tracks, or waterlogged stretches that are completely unsuited for their vehicle's ground clearance, width, or traction limits.
What is going wrong#
A route passable for a tractor or 4x4 SUV causes light delivery vans and ambulances to bottom out or get stuck, passenger cars to scrape underbodies, and two-wheelers to slip. Getting stranded or damaged on remote, unpaved roads leads to delayed emergency responses, disrupted supply chains, vehicle damage, and serious road accidents.
Why it is not fixed yet#
Cloud-based AI cannot run in rural dead zones and adds dangerous transmission latency. Meanwhile, existing automotive edge GPUs consume 15W–30W+, which overheats without large cooling systems and rapidly drains vehicle batteries. Microcontrollers are too weak to run computer vision models in real time, leaving vehicles without affordable, on-device terrain awareness.