Understanding, not autocomplete
We parse destination type, landmark, city and intent — and ask a follow-up question whenever confidence is low.
Ride booking still assumes you know the address.
Every mainstream ride app asks for a precise pickup and drop pin. That works if you live in the city and know its street names. It fails an elderly rider who only knows "the hospital near VVCE", a tourist who knows a landmark but not a locality, and a visually challenged user for whom map-pin dragging is unusable.
RideMind AI removes that assumption. You describe the destination in your own words, by voice or text. The assistant interprets it, confirms what it understood, and only then books.
Our mission
Making mobility smarter, safer and more accessible for everyone.
Speak the way you think
Voice and text in everyday phrasing, with transcription shown before anything is booked.
Safety as a default
SOS, live trip sharing and trusted contacts are part of the core product, not a hidden setting.
Accessible by design
Elderly mode, high contrast, large targets and voice-first navigation for users who need them.
Privacy
This is an MVP preview. No personal data is collected or stored on a server — accessibility preferences stay in your browser, and every ride, driver and contact you see is clearly marked demo data. When the backend is connected, location and trip data will be encrypted in transit, shared only with contacts you choose, and deletable on request.
Contact
Partnership, accessibility feedback or a demo request? Reach the team at hello@ridemind.ai.
Try the assistantWhat's next
- Python backend for ride orchestration
- OpenAI / Gemini destination reasoning
- Google Maps routing and live tracking
- Speech-to-text for full voice booking
- Firebase authentication and profiles
- Push notifications and SOS escalation