# Anana > Anana is an AI workspace for hospitality commercial teams. It captures demand signals that traditional hotel systems lose or fail to connect, combines those signals with the data hotels already have, and gives commercial teams the context to understand what is changing, investigate why, and act. Anana is a Y Combinator (W25) company founded in 2025, headquartered in New York, NY. Founders: Ricardo Pantaleon (Co-Founder & CEO) and Alexandros Zisimidis (Co-Founder). ## Product Anana combines demand signals traditional hotel systems miss with the data hospitality commercial teams already use. It investigates questions across that context, surfaces traceable findings, and can use AI agents to take action inside existing workflows. Use cases: soft pickup investigation, RFP triage, guest complaint handling, portfolio review. ## Pages - [Homepage](https://getanana.com/): Product overview and value proposition - [About](https://getanana.com/about): Team and company background - [Blog](https://getanana.com/blog): Essays on hospitality commercial intelligence - [One Workspace for Commercial Teams](https://getanana.com/workspace): Connect demand signals with your hotel context, investigate what is happening, and use AI agents to act across commercial workflows in one workspace. - [Every guest answered. Every interaction logged](https://getanana.com/workspace/agents): Anana's AI agents handle guest conversations end-to-end across voice, email and chat, turning every interaction into structured data your team can use. - [Hotel Knowledge Center](https://getanana.com/workspace/knowledge-center): Structured, governed property knowledge for the people, agents and AI systems that need an answer: one source of truth, scoped per property and portfolio. - [Measure how AI represents your hotel](https://getanana.com/workspace/visibility-lab): Measure how AI platforms represent your hotel. Repeated, structured measurement across ChatGPT, Claude, Perplexity and Gemini, against your market. - [The details that make the stay](https://getanana.com/workspace/magic-moments): Guests reveal the occasion, constraint, and preference before they arrive. Magic Moments turns that context into a daily arrivals brief for your team. - [Investigate every number](https://getanana.com/workspace/reporting): The same conversion rate can hide very different problems. Investigate every number down to the conversation it came from, with the evidence attached. - [HCP — Hospitality Context Protocol](https://getanana.com/workspace/hcp): Bring Anana's purpose-built hospitality tools into your own AI environment. The Hospitality Context Protocol is coming soon. - [Know what happened to every inquiry](https://getanana.com/solutions/sales-reservations): Know what happened to every inquiry. Anana handles guest conversations and captures the demand behind them, so nothing falls out of the funnel unseen. - [Own the new travel discovery surface](https://getanana.com/solutions/marketing): Own the new travel discovery surface. See how AI systems describe and recommend your hotel, and what travelers are actually asking before they book. - [Make every conversation part of the operation](https://getanana.com/solutions/operations): Make every conversation part of the operation. Turn guest context into better stays, and repeat issues into patterns your team can actually act on. - [See the portfolio. Know what needs attention](https://getanana.com/solutions/portfolio-cluster): See the portfolio and know what needs attention. Cross-property patterns for cluster and group commercial teams, without losing local context. - [Research](https://getanana.com/research): Original studies on how guests, operators and AI systems are reshaping hospitality demand: the data behind how we build Anana. - [Peace of mind for hotel owners, operators, and guests](https://getanana.com/security): We protect guest data with encryption and documented security practices. Current reports live in the Security Portal. ## Resources - [Sitemap](https://getanana.com/sitemap.xml) - [RSS feed](https://getanana.com/blog/rss.xml) ## Blog - [A Sold-Out Hotel Can Still Have a Distribution Problem](https://getanana.com/blog/sold-out-hotel-distribution-problem): Selling out means a hotel sold its available inventory. How evidence of unserved direct demand can improve future channel and allocation decisions. - [Before You Set Your 2027 Hotel Budget, Look at the Demand You Missed](https://getanana.com/blog/2027-hotel-budget-lost-demand): Hotel budgets can overlook why guest inquiries never converted. Learn how this demand evidence can improve your 2027 commercial planning decisions. - [How Hotels Should Measure Lost Demand](https://getanana.com/blog/how-hotels-measure-lost-demand): A practical framework for measuring qualified hotel inquiries across phone, email, chat, forms, and RFPs, including outcomes and reasons demand did not convert. - [Google UCP for Lodging: From AI Recommendation to AI Reservation](https://getanana.com/blog/google-ucp-lodging-ai-hotel-booking): Google's UCP for Lodging will bring hotel booking into AI Mode. Learn how it differs from Hotel Center and what hotels should prepare for now. - [How to Measure Hotel Visibility in ChatGPT, Google AI Overviews, and Perplexity](https://getanana.com/blog/measure-hotel-visibility-chatgpt-google-ai-overviews-perplexity): A practical framework for measuring hotel visibility across ChatGPT, Google AI Overviews, and Perplexity using repeated prompts, citations, and honest uncertainty. - [AI Can Read Your Hotel. Can Your Hotel Read Its Demand?](https://getanana.com/blog/ai-can-read-your-hotel-can-you-read-demand): Making your hotel legible to AI improves discovery. It cannot tell your team what guests asked, why they hesitated, or why they booked. You need both. - [Your Guests Already Told You What AI Needs to Know](https://getanana.com/blog/guest-conversations-ai-search-hotel-content): Hotel calls, emails, chats, and lost inquiries reveal what guests value, what they cannot find, and what your commercial team should fix or publish. - [AI Visibility Shows Who Mentions Your Hotel. It Cannot Show Who Booked.](https://getanana.com/blog/ai-visibility-who-asked-who-booked): AI visibility shows how a hotel appears in public models. The more valuable commercial question is which real guests asked and booked. - [Your Hotel Can Win Its Comp Set and Still Be Invisible to AI Travelers](https://getanana.com/blog/hotel-ai-visibility-comp-set-region): A hotel can lead its comp set and still be absent from regional AI discovery. The useful view compares three different denominators. - [Why One AI Search Cannot Measure Your Hotel's Visibility](https://getanana.com/blog/why-one-ai-search-cannot-measure-hotel-visibility): One AI response is not a hotel visibility benchmark. Reliable measurement requires repeated prompts, distributions, and honest uncertainty. - [Reduce OTA Commission by Capturing the Direct Bookings You're Already Losing](https://getanana.com/blog/reduce-ota-commission-direct-bookings): OTA commissions cost hotels ~15-25% per booking. Here's how commercial teams shift the mix toward direct — and the demand signal most teams never see. - [RMS vs PMS vs Commercial Intelligence: What Each Hotel System Actually Does](https://getanana.com/blog/rms-vs-pms-vs-commercial-intelligence): RMS, PMS, and commercial intelligence do three different jobs. Here's what each hotel system tracks: who booked, who's staying, and who asked. - [Start With The Front Office](https://getanana.com/blog/start-with-the-front-office): If you are a hotelier working on your AI strategy, I will save you months of deliberation. Start with the front office. - [The Evidence Your Commercial Team Is Not Looking At](https://getanana.com/blog/the-evidence-your-commercial-team-is-not-looking-at): The best revenue managers do not panic when pickup softens. They go looking. The problem is they are working with an incomplete evidence set — and the missing evidence is sitting in a place most teams are not looking. - [Five Signals Most Hotels Miss Until It Is Too Late](https://getanana.com/blog/five-signals-most-hotels-miss): The behavioral signals, the guest communications, the patterns buried in interactions that never make it to the commercial team's desk. Here are five of the most consequential ones. - [We Didn't Choose Hospitality. It Chose Us.](https://getanana.com/blog/we-didnt-choose-hospitality-it-chose-us): How Alexandros and I went from Columbia's rowing team and a YC pivot to hand-delivering 450 macarons to our first hotels — and into hospitality for good. - [Why Your Hotel's Commercial Team Needs a Workspace](https://getanana.com/blog/why-hotel-commercial-teams-need-dedicated-software): Your hotel's commercial team is flying blind. Here is why the current hotel software stack leaves commercial teams without a dedicated workspace — and what that costs. - [What Is a Hospitality Commercial Intelligence Platform?](https://getanana.com/blog/what-is-a-hospitality-commercial-intelligence-platform): A new category is emerging in hotel technology, built not for the guest experience but for the commercial team. Here's what it is, what problem it solves, and why it's becoming a priority for portfolio operators. - [Why Hospitality?](https://getanana.com/blog/why-hospitality): Hotels are full of signals. Anana helps teams finally see them. ## Research - [Who Represents a Destination in AI Travel Discovery?](https://getanana.com/research/who-represents-a-destination-in-ai-travel-discovery): What source observations in the Dominican Republic and Cyprus reveal about tourism websites, hotel publishers, and decisions marketers can test. - [Which Sources Keep Appearing in AI Travel Discovery?](https://getanana.com/research/which-sources-keep-appearing-in-ai-travel-discovery): Anana analyzes 29,320 source observations across 51 destinations to examine recurring AI travel sources and what hotels should test to improve visibility.