RoamingOS is an operating layer for personally-owned autonomous vehicles that guarantees owner access while maximizing earnings from idle time. The platform uses a calibration engine that forecasts each owner's needs and determines how far a car can roam for ride-hailing revenue while still returning on time. This owner-first approach positions the company as a neutral intermediary between private AV owners and fleets including Tesla, Lucid, Ford, and Nuro.
Funding
Funding not disclosed
Founders
Product
Problem
Personally-owned autonomous vehicles remain underutilized because no major player optimizes for the owner's benefit—instead, fleet operators, carmakers, and ride-hailing networks prioritize their own revenue, utilization, or vehicle sales. Owners face a tradeoff between keeping their car available for personal use and earning income from it, and existing platforms offer no alignment mechanism to guarantee access when needed.
Solution
RoamingOS provides an owner-first operating layer for autonomous vehicles that balances guaranteed personal access with optimized earning during idle periods. The platform uses a calibration engine, pretrained globally and personalized to each owner's usage patterns, to forecast when the owner will need the car and determine the maximum radius within which the vehicle can safely roam for ride-hailing or delivery income. The car will return early whenever uncertainty about the owner's needs arises, ensuring access is never traded for earnings. Because RoamingOS owns no fleet and builds no vehicles, it can operate neutrally across brands, acting as the trusted middle layer between an owner and any autonomous vehicle network.
Target Audience
Primary customers are individual owners of autonomous vehicles who want to maximize the return on their vehicle investment without sacrificing on-demand personal access, as well as AV manufacturers seeking to improve the value proposition of their consumer vehicles.
Features
- Calibration engine that combines global pretraining with per-owner personalization to forecast access needs and compute safe earning radii
- Dynamic roaming radius that guarantees the vehicle can return in time for the owner's predicted need, with early return triggered under uncertainty
- Brand-agnostic architecture that integrates with vehicles from Tensor, Lucid, Ford, Nuro, and Tesla's open robotaxi network
- Surplus optimization layer that schedules earning activity only within slack windows between owner access requirements
- Structural neutrality as an independent software layer that owns no fleet, enabling trust across competing carmakers