Valletto Labs
We taught software to run valet. Now we're teaching it to see.
Labs is Valletto's research and development division — a small team building the computer vision, plate intelligence, and automation that will define how parking works for the next decade. Most of it we can't show you yet. Some of it is already watching a lane near you.
00:00:00.31vehicle detected — sedan, black
00:00:00.47plate read ███-████ · conf 99.2%
00:00:00.52session opened · #V-20841
00:00:00.98guest profile matched · returning
00:00:01.15arrival text sent · delivery confirmed
From headlights to open ticket in about a second. No tap, no tag, no line.
How Labs works
Research that has to survive a Friday night rush.
Field-first
Nothing stays a demo. Every Labs project earns its place by running in live garages, on real lanes, during real rushes — or it doesn't ship.
Invisible by design
The best valet technology is the kind nobody notices. Our benchmark isn't a flashy screen — it's the guest who never had to take out their phone.
Years ahead, on purpose
We build against where the industry will be in five years, not where it is today. By the time a capability becomes table stakes, our operators have been running it for seasons.
Active programs
What we're working on.
A partial list. The general shape of each program is below — the interesting parts stay in the lab until they reach your lane.
Plate Intelligence
License plate recognition tuned for the valet lane, not the toll booth — angled reads, night reads, moving reads. A plate becomes a ticket, a guest history, and a greeting before the driver's door opens.
Machine Vision
Cameras that understand a property the way a great captain does: every arrival noticed, every car accounted for, sessions opening hands-free the moment a vehicle crosses the threshold.
Sentinel — Revenue Integrity
Detection workflows that spot what a busy stand can't: the car that left without a ticket, the session that doesn't match the camera record, the pattern that looks like slippage or theft. Flagged in real time, not found at month-end.
Dispute Intelligence
Every session quietly builds its own evidence trail. When a charge is disputed, the case assembles itself — timestamped events, photos, delivery-confirmed texts — and most disputes end before they cost a dollar.
See it live →Predictive Retrieval
Models that learn a property's rhythm and predict which cars will be requested next — so the right keys are moving before the guest reaches for their phone.
Deep Property Integrations
Valletto plugged directly into the systems properties already run — reservations, room posting, access. When the property knows a guest is arriving, so does the lane.
Adam Lior
Chief Engineer · Head of Valletto Labs
Who runs Labs
Valletto Labs is spearheaded by Adam Lior, Valletto's chief engineer and the architect of the platform's core — the real-time operations engine, the payments stack, and the systems valet teams run their whole business on.
Adam builds for the environment valet actually happens in: fast, loud, zero margin for error. That standard — it has to work the first time, every time, at the curb — is the bar every Labs project has to clear before it ships.
At Labs, he leads the team asking the question behind everything on this page: what's the next thing a valet operation shouldn't have to do by hand?
“The best valet technology is the kind nobody notices. The guest just gets their car faster.”
Most of what Labs is building won't be announced. It'll just show up one day in your operation — and your lanes will be a little faster, your revenue a little tighter, your guests a little more impressed.
Ready to modernize your valet operation?
Run your entire business on one platform. See it in a 20-minute demo.
Valletto