9.7 for Work friendly
Context-aware place recommendations for exactly what you need right now.
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“The lovechild of Reddit and Google Maps” TechCrunch
9.7 for Work friendly
9.2 for Dog friendly cafe
9.8 for Gluten free eats
9.4 for Vegan brunch
9.4 for Date night
9.7 for Work friendly
Instead of showing you everything nearby, Atly learns what you like and surfaces places that match your vibe Instead of showing you everything nearby, Atly learns what you like and surfaces places that match your vibe
The same café can be perfect for getting work done, unsuitable for your dog, and good enough for a first date. Switch the intent to see the score and the evidence change. The same café can be perfect for getting work done, unsuitable for your dog, and good enough for a first date. Switch the intent to see the score and evidence change.
9.2 / 10 match for
An ideal café for remote work, this spot offers a brew that keeps you energized, cozy ambiance and dependable Wi-Fi, it’s perfect for productivity. You'll find plenty of power outlets and the soundtrack plays gentle tunes.
Find curated lists from locals, personalized to your taste and interests so every recommendation feels made for you.
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Beyond the app
Every place means something different depending on who is asking and why. Atly turns fragmented local signals into structured, explainable place intelligence, powering personal discovery today and new partner experiences tomorrow. Every place has unique meanings depending on who asks. Atly turns scattered local signals into clear place insights, improving personal discovery now and partner experiences later.
Atly Intelligence API
Atly turns natural-language intent into ranked, explainable place matches. Built for travel products, AI assistants, hospitality platforms, marketplaces, and any experience that needs to understand not just where a place is, but what it is good for. Atly turns natural-language intent into ranked, explainable place matches, built for travel products, AI assistants, hospitality platforms, marketplaces, and any experience that needs to understand not just where a place is, but what it is good for.
Illustrative response
{
"place": "Example Place",
"match_score": 9.1,
"intent": "quiet first-date wine bar",
"reasons": [
"low-noise seating",
"intimate atmosphere",
"open late"
],
"confidence": "high",
"last_verified_at": "2026-07"
}
Give assistants evidence-backed local recommendations instead of generic lists.
Build itineraries and concierge experiences around each guest’s needs.
Add contextual discovery, ranking, and enriched attributes to an existing product.
The compounding advantage
Searches reveal what people need. Saves, selections, and contributions directly improve ranking, attributes, and confidence, making the consumer experience and partner intelligence more useful with every decision. Searches reveal what people need. Saves, selections, and contributions directly improve ranking, attributes, and confidence, making Atly more useful with every decision.
“Quiet café for a two-hour work session.”
Results are scored against the attributes that matter.
Behavior and explicit feedback validate relevance.
Attributes, confidence, and rankings become more precise.
More use creates more opportunities to enrich the graph.
For people
For partners