Every night leaves takings. It doesn't leave data.
PlaceInn turns every verified check-in into a readable picture of what the people coming in are looking for — and tells the venue what to do with it.
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Two sides that can't see each other
Platforms serve one side or the other. PlaceInn holds both together: the venue gets a picture to decide on, people get places that match their tastes.
A loop that feeds itself
The model only works if both sides get value out of the same check-in. That is what holds the system together.
The profile
The user says what they like: cuisines, drinks, hobbies, interests. The AI learns their real preferences, not the average.
Discovery
The recommendation arrives in context and in real time: “Cocktail bar with live jazz, 800 metres away, open now.”
The verified check-in
The user generates a QR code, the venue scans it. The check-in is verified by the venue: more reliable data than a self-declared presence.
The picture at the venue
Check-ins add up into an aggregate picture: not just how many people came in, but what that crowd is looking for.
The AI suggests
“There's a group interested in art within your radius. Try a gallery night on Friday.”
Proactive intelligence, not a report to read a month later.
Visibility grows
More recent activity, more visibility in the ranking. More visibility, more people coming in.
The loop starts again at step 2 — with more data than before.
What this asks of your team
You've seen the mechanism. The rest we tell you in person.
Leave your details and get the public PlaceInn deck.
Why this mechanism is different
Verified presence, not reviews
The check-in goes through a QR scanned by the venue. It counts for more than an opinion anyone can write.
Visibility you earn
A small venue can outrank a chain, if people genuinely go there.
AI that looks ahead
We don't tell you what happened last month. We tell you what to do next Friday.
One check-in, two sides
People reach discounts and events only through a verified check-in: the same action that gives the venue its picture. Neither side works without the other.
A large market, still barely digital in how it deals with its customers
food-service businesses in Lombardy
Source: FIPE, Rapporto Ristorazione 2024 — rounded from about 48,500
of the bars surveyed invested in tools to digitalise the customer interface in 2024
Source: FIPE-Confcommercio, Rapporto Ristorazione 2025 — FIPE–Format Research survey
Area planned for the first pilot: Navigli, Isola, Porta Garibaldi, Porta Venezia.
Revenue model
Venue subscriptions — three tiers.
The venue exists on PlaceInn and reads its own numbers.
Profile, verified check-ins, events and discounts, operational dashboard.
The venue knows when to act, and reaches the right people.
Everything in Base, plus proactive AI and more personalised invites and discounts delivered.
The venue decides on more signals than its own.
Everything in Pro, with the most advanced AI model, custom reports and dedicated support.
Free for venues throughout the pilot phase.
Whoever joins first builds the longest check-in history — and that is exactly what the ranking rewards.
The commercial model is being validated.
A multidisciplinary founding team
Complementary expertise across technology and AI, product and quality, strategy and risk management, operations and go-to-market.
Get the public deck
A public overview of the project. It is not the confidential material: that is shared by the team, only after a direct conversation.
The public deck, straight away — no form, no email needed.
It opens in your browser and keeps working offline once loaded. Or download the PDF (12 slides) to keep a copy.
Want to be on the pilot list when it opens? Write to hello@placeinn.app