Where to eat, what to do, where to go — we make these decisions constantly, and they're some of the biggest discretionary money we spend. Yet finding the best answer still means digging through hundreds of sites.
Source: Travel Market Report; Expedia path-to-purchase research
The industry built itself around the once-a-year trip — the flight, the hotel, the rental car. But the spending that actually shapes our lives is weekly: the dinners, the outings, the neighbourhood finds. That spending has never had software on its side.
And the data underneath it is unusual. Place knowledge is the web's densest public data — and its most perishable. Openings, closings, seasons, chef changes, the room that's lost its magic. This is exactly where persistent AI agents will outperform today's search box: not answering once, but watching continuously.
Your taste, your history, and the people you're with.
Where you go, what you do. Date night, the Lisbon trip, the cottage hunt, the best egg sandwich in the city.
Restaurants, stores, streets, shows, stays.
Openings, closings, seasons, events. The map never sits still.
A personal knowledge graph: tastes, companions, contexts. It compounds with every interaction.
AI agents continuously discovering and evaluating for you — surfacing the right option at the right moment.
No bookings. No commissions. No paid placement. You pay a subscription, and it answers honestly.
Ricordo begins with the person deciding where to spend Friday night — a weekly use case, not a once-a-year trip. The same memory and the same agents then travel with you, so the guide that knows your city already knows you when you land somewhere new.
Ricordo runs today as a working multi-agent system with persistent memory — rebuilt five times, each rebuild killing a wrong assumption and uncovering a higher-impact use. It's in daily use, at home and away: better nights, experiences that would have been missed, fewer disappointments. And a growing waitlist of people who want the same.