In Production
This isn't theoretical. It's running.
Every system we build goes into production. Here's what that looks like.
Real-time dispatch, running on AI.
Wave Ride (waveride.ai) — serving Duke University, the Charlotte Hornets, and healthcare partners — needed to stop losing jobs to slow coordination. We deployed Wave AI: a conversational agent that books rides in three messages, handles real-time dispatch, driver scheduling, and client communications — replacing a manual process that previously required three full-time coordinators. Driver retention now sits at 94%.
Wave AI: book a ride by text, chat, or voice in three messages
Dispatch + driver scheduling automated end to end
Wheelchair-accessible routing for healthcare partners
Thousands of concurrent users, zero wait time.
A major festival needed to handle a surge of attendee questions — directions, lineups, schedules, policies — without staffing a 50-person support team. We built and deployed a conversational AI system that served thousands of concurrent users across the event weekend.
Thousands of simultaneous conversations handled in real time
Zero queue times for attendees during peak hours
Support costs reduced by over 80% vs. staffed alternative
Booking VIP transport without leaving your seat.
The Charlotte Hornets needed seamless black-car booking for VIP suite guests during games. We built an in-suite QR flow: visitors scan, pick a destination and pickup time, pay via Stripe, and ops receives a real-time Slack alert plus an automated reminder before the car arrives. No staff handling, no app downloads.
Guests complete the entire booking flow on their phone, in-suite
Ops gets a Slack alert the moment a ride is confirmed
Automated pickup reminders fire ahead of every ride
