Travel intelligence · Out now on iOS

Know before your arrival

Velora reads a city the way someone who lives there would. Safety, money, entry rules, nightlife and where you fit — one brief, before you book anything.

Static sky presets. Inside the app the Atmosphere Engine composes the real sky from the destination's own light, hour and weather.

The Atmosphere Engine, running here, not a picture of it. Each sky is computed from that place's real coordinates, local hour and weather report, by the same code that runs inside the app.

The app, screen by screen

Name a city. Velora does the reading.

Velora's home screen: a greeting, the headline Know Before Your Arrival, and a single search field reading Search any City.
A city brief for Barcelona at golden hour: a traveler-verified rating, distance and flight time from the reader's home city, and a traveler consensus paragraph about which neighbourhoods to shift to.
A safety overlay for Madrid: districts shaded green, amber and red with pins, the local emergency number 112 at the top, and a caption noting the regions are approximate and not live data.
A travel record: 48 cities across 25 countries on a world map, an explorer level of World Traveler, and per-continent counts.
A friends view: the reader's circle has been to 28 countries across 73 cities, with each friend's country and city counts and a button to compare passports.

Search any city on earth

No itinerary builder, no trip wizard, no ten open tabs. One field, anywhere on earth, and a brief assembled the moment you ask for it.

What is behind an answer

Nothing here is made up on the spot.

The research already happened, city by city — every fact written down with the kind of source behind it and the date it was checked. A search reads it back.

49,732

Separate facts Velora can already answer from

Counted once each, researched and written down before you searched. It arrives in two halves — both are added up here, and the total is only ever their sum.

6,623 Velora's own research

Across 95 cities, 80 of them researched to the floor — all 44 scored attributes present, none left to a guess. Not downloadable from anywhere.

  • 4,645 Sourced facts about a city
  • 1,312 Bars and clubs, each in a district
  • 448 Nightlife districts they sit in
  • 218 Quotes lifted from local sources

2,192 research · 1,148 curated · 1,105 official · 128 derived · 72 community

43,109 Compiled in, not called for

Open reference data built into the app. A passport answer is a lookup in memory: no API in the way, no waiting on somebody else's service.

  • 39,601 visa answers — every passport against every country
  • 3,262 airports, so Velora knows how you would get there
  • 246 countries' currencies, so a price is money you recognise
  • Every fact says where it came from. Stamped with the date it was last checked, and the link kept where there is one.
  • A blank is left blank. Not yet researched is said out loud. The gap is never filled with a guess.
  • The total is the parts, added. Every figure counted once. Move a part and the headline moves with it.

How the match works

A score that can tell you why.

35 numbers about you, 44 about each city, compared with 39 rules that each have a name and a reason. So when a city scores 80, Velora can say which parts of you it is answering. A model that guesses cannot.

  1. Can only help

    Something you want

    Care about food and find a food city: the city gains. Not caring costs it nothing.

  2. Helps or hurts

    A level that has to match

    Too expensive is wrong, and so is too cheap. Both get marked down.

  3. The only veto

    A line you will not cross

    Safety, and nothing else. A city under your bar is told to you in words.

Try it — one rule, both ends Berlin

What it does to Berlin's score
Strong lift
What Velora will tell you
“has the nights you are looking for”

Sample behaviour, not the engine. Direction and strength are shown; the weights stay ours.

  • Thin research scores lower. A city known by two facts is pulled back toward the middle, however well those two went.
  • You are told how sure it is. Low, fair or high, beside every score — and it takes the weaker of knowing you and knowing the city.
  • Nothing ever scores 100. No city is a certainty or a write-off. A perfect score tells you about the product, not the place.

Why not just ask a chatbot

Because it will lie to you with a straight face.

A general model

Answers a factual question wrongly a large share of the time, and states it with the same confidence either way.1

Velora

Answers from research that was written down first, and shows the confidence behind the call.

A general model

Has no idea which passport you hold or where you are flying from unless you tell it, every time.

Velora

Reads every city against your passport, your home base and 35 things you actually told it.

A general model

Advises on safety at the level of a country, which says nothing about the eight blocks you booked.

Velora

Reads a city district by district, keeps a second map for after dark, and puts the local emergency number on screen.

1 · OpenAI (2024), measuring short-form factuality in large language models. Velora's own accuracy has not been independently audited.

Free to start · No card

Be there before you go.

Ten searches a day, every brief saved, your passport started. Takes a moment.

Download Velora on the App Store