The event is only half the trip.

Attendees need breakfast before the keynote, a quiet spot for a meeting, and dinner with new contacts. InBetween lets your event app answer all three without sending anyone to a map.

Get Started
Chase & Status

Concert

Chase & Status

Tickets booked!
The Roundhouse, Chalk Farm
Sat 15 Jun · 19:00

Chalk Farm Rd, London NW1 8EH

Meeting a friend?

Find places nearby before the show.

The Pembroke Castle

4 min walk · pub

Lemonia

6 min walk · Greek

Primrose Hill

8 min walk · views

For event management and attendee app teams

Own the hours around the schedule.

Every conference produces the same scene: sessions end and hundreds of people open a map app to work out where to eat. The event app that organised their whole day goes quiet at the exact moment it could be most useful.

Those moments are plans like any other: a group, a location, dietary needs, and a time window. They are exactly what InBetween is built to resolve.

With venue discovery inside your event app, attendees get answers anchored to the venue and the schedule, and you keep them engaged from first session to last drink.

What breaks today

  • Attendees leave the event app the moment food is involved.
  • Generic search ignores group size, dietary needs, and networking-friendly noise levels.
  • Engagement drops off a cliff between sessions.

What you can ship

  • Dining and meeting suggestions built into the event experience.
  • Group plans resolved with everyone's constraints respected.
  • An app attendees keep open all day, not just during sessions.

How it works for you

  1. 01

    Anchor search to the venue and the schedule

    Use the event location and session times to suggest the right options for the right moment.

  2. 02

    Handle groups and dietary needs properly

    Six colleagues with two vegetarians and a 45-minute window is a solvable query, not a research task.

  3. 03

    Keep the plan in your app

    Shortlists render natively, so groups decide without scattering to external tools.

api.inbe.us/v1/search200 OK
POST
{
"locations": [{ "locationName": "Wembley Stadium, London" }]
"mode": { "mode": "POINT", "maxDistance": 800 }
"preferences": {
"goodFor": ["groups", "cocktails"]
"openingConditions": { "state": "OPEN", "atTime": "2026-06-15T17:30:00Z" }
}
}
response
"establishments": [
{ "displayName": "The Copper Fox" }
{ "displayName": "Neon Room" }
]
Taylor Swift — The Eras Tour

Concert

Taylor Swift

The Eras Tour

Wembley Stadium, London
Sat 15 Jun · 19:00
Plan food & drinks nearby

Your night out

Before · during · after

3 stops

Pre-drinks

17:30

The Copper Fox

8 min walk · lively

The show

19:00

Wembley Stadium

Doors open

Post show antics

22:45

Neon Room

Late license · cocktails

Every venue. Every detail.

Precision metadata for apps that help people meet, eat and drink.

Venue intelligence

Ultra detailed venue data

Get detailed information about venues, including menus, pricing, ambiance, and more.
Smart matching

Preference driven

Wow your customers with recommendations and information tailored for them.
Multi-location search

Tools for multiple locations. Find restaurants, bars and cafés based on multiple sets of preferences and locations.

In-app experience

Loyal to you

Keep users inside your app by giving them the info they need to make decisions.
Decision support

Built for decision-making

A suite of tools designed to enable you to answer customer needs directly.

Venue discovery for events

Keep attendees in your app between sessions.

Open up a new world for your users with InBe's preference-aware venue discovery—built for group venue matching, dietary search, and ranked shortlists.

No card required. Full core API access.

Start building for freeExplore the API

Keep exploring

Questions teams ask

Built for developers who connect people to places

Start buildingExplore the API

Connecting users to real-world places shouldn’t mean stitching geocoding, routing, Places search, and ranking yourself. One preference-aware search replaces the pipeline.

api.inbe.us/v1/search200 OK
POST
{
"locations": [
{ "lat": 51.523, "lon": -0.158, "label": "Alex" },
{ "lat": 51.493, "lon": -0.098, "label": "Sam" }
],
"mode": { "mode": "POINT", "maxDistance": 750 },
"preferences": {
"goodFor": ["date", "cocktails", "conversation"],
"catersFilters": ["vegetarian"],
"establishmentFilters": ["servesCocktails"]
}
}
response
{
"centerPoint": { "Lat": 51.508, "Lon": -0.128 },
"radius": 750,
"establishments": [
{
"displayName": "The Lantern Room",
"distanceMeters": 142,
"matchScore": { "total": 0.94 }
},
{
"displayName": "Barrio Soho",
"distanceMeters": 186,
"matchScore": { "total": 0.91 }
}
]
}

Fair middlegrounds

Multi-person locations in one call; we balance travel so you don’t build routing yourself.

Preferences that actually match

Dietary, vibe, good-for, and constraints as first-class inputs, not post-filters on pins.

Pay for the hard parts

Core search and enriched place data stay cheap; you pay where decision intelligence earns its keep.

Tools for user decisions

Ranked shortlists and experience-ready answers so your product keeps users in-flow, not off to a map.

Illustrative scenario

0ms

Ranked shortlist in one call

Preference-aware search returns a decision-ready shortlist without stacking Places, routing, and enrichment calls.

~15× faster vs multi-call pipelinesNot a live benchmark
RESTWorks with any stack
curl -X POST https://api.inbe.us/v1/search \
  -H "API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "locations": [
      { "lat": 51.523, "lon": -0.158, "label": "Alex" },
      { "lat": 51.493, "lon": -0.098, "label": "Sam" }
    ],
    "mode": { "mode": "POINT", "maxDistance": 750 },
    "preferences": {
      "goodFor": ["date", "cocktails", "conversation"],
      "catersFilters": ["vegetarian"],
      "establishmentFilters": ["servesCocktails"]
    }
  }'
Full examples in docs

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