SpareLabs is the operating system for modern transit. Cities and transit agencies β including BART and municipalities across North America and Japan β use Spare to run more efficient, more accessible public transit.
Spare serves two audiences: the agencies that buy the platform, and the riders those agencies serve. The second group is where this story starts.
π― The challenge
The riders who needed service most were waiting the longest.β¨
Many of Spareβs customers run paratransit for people with disabilities. For those riders, a phone call is often the only way to book a trip, check an ETA, or get an update.β¨
But the experience was broken. Outsourced call centers. Thin staffing. Long holds. Every minute on hold was a minute a rider couldnβt plan their day.β¨
Spare knew voice AI could fix it. They just couldnβt get it to work.β¨
βBack in 2023, we were very excited by the latest in AI voice models. But we struggled to get them to work as well as we wanted them to.β
π The solution
In early 2024, Spare took another look at voice AI. After evaluating several vendors, they chose Retell β for two reasons: speed, and substance.β¨
βRetell had better latencies, it was a better product we could interact with, and it was faster to set up. The built-in support and the ability to stay up to date with the latest models has been really helpful.ββ¨
By March 2024, Spare was live with Retell in early-access deployments.
π How they did it
1. Build once, deploy in a click
Spareβs transit customers all face similar problems. So Spare built a single, configurable Retell agent that already understands transit flows, ride-booking logic, and the tool calls into Spareβs platform. Turning it on for a new agency is now a one-click action.β¨
βThe configuration process is quite simple for us now. We donβt have to spend weeks to build it. You can basically turn it on in a click.β
1. Build once, deploy in a click
Spareβs transit customers all face similar problems. So Spare built a single, configurable Retell agent that already understands transit flows, ride-booking logic, and the tool calls into Spareβs platform. Turning it on for a new agency is now a one-click action.β¨
βThe configuration process is quite simple for us now. We donβt have to spend weeks to build it. You can basically turn it on in a click.β
Come Medical Data Systems scala 280.000 $ di recupero crediti mensile con agenti vocali con IA su Retell
70
Tasso di contenimento
$280,000
Recupero crediti mensile
30,000
Chiamate al mese
Grazie al deployment dell'IA conversazionale, MDS gestisce ora il 100% delle chiamate in entrata con un tasso di trasferimento di appena il 30%, scalando senza sforzo e raccogliendo ~280.000 $ al mese senza sacrificare la fiducia dei pazienti.