Anana launches AI Workspace for Hospitality Commercial Teams
The platform gives hotels visibility into the demand signals hidden inside guest conversations that traditional systems miss, and turns them into commercial intelligence.
Anana captures demand intelligence from guest calls, chats, and emails before they become bookings, surfacing structured commercial insights for hotel teams through a five-component AI workspace.
NEW YORK, September 18, 2026 — Today, Anana announced the launch of its AI workspace for hospitality commercial teams. Founded by Ricardo Pantaleón and Alexandros Zisimidis, Anana captures the demand signals hidden inside guest conversations, connects them with a hotel’s existing systems, and helps commercial teams understand what is changing, investigate why, and act.
What problem does this solve?
Hotel systems are built to record transactions. A booking is captured, a rate is logged, and a folio is closed.
But much of what happened before the booking is not.
A call asking about connecting rooms, a message about a mobility requirement, or an email inquiring about eighteen rooms for October may contain valuable information about demand, intent, objections, and guest preferences. Yet that information is rarely captured in a structured form that commercial teams can use.
Hotels therefore generate a large volume of demand intelligence that is often lost after the interaction ends.
The problem is not simply that hotel data is difficult to analyze. Some of the most valuable commercial data never enters the system at all.
Much of commercial technology today focuses on making the data hotels already have easier to query. Anana starts one step earlier, by capturing the demand signals that never made it into those systems in the first place.
What is Anana?
Anana is a workspace rather than a traditional dashboard. Commercial teams can investigate questions across bookings, guest communications, market data, and property knowledge in a single thread, with every conclusion traceable to its underlying evidence.
The workspace includes five core components:
Agents. Engage guests across phone, chat, and email while capturing the demand signal inside every exchange.
Hotel Knowledge Center. A governed source of truth for property facts, policies, and procedures that can be used by both people and AI systems.
Visibility Lab. Continuously monitors how a property appears across AI search results and which sources are shaping its discovery.
Magic Moments. Routes relevant guest context to the team that can act on it while it still matters.
Reporting. Connects commercial metrics to the underlying interactions, sources, and evidence behind them.
How does it work?
Anana connects guest interactions with a hotel’s existing systems and continuously looks for meaningful patterns in demand.
When it identifies one, it produces a structured finding explaining what changed, why it matters, what action may be appropriate, and the evidence behind it.
If Anana identifies an arriving guest celebrating an anniversary, for example, it can route that context to guest services and update the relevant guest record. If questions about early check-in begin appearing repeatedly, Anana can identify the pattern, surface the underlying conversations, and recommend changes to the information guests see before booking.
It can then help close the loop inside the systems and workflows the hotel already uses.
Every finding and action is attributable to its underlying source.
Why now?
Conversational intelligence is not a new idea. Until recently, applying it across hospitality was impractical.
Calls, chats, emails, and other guest interactions were fragmented across systems, rarely available as structured data, and far too numerous for teams to review manually.
AI changes that constraint.
Guest interactions can now be captured, understood, and organized continuously, making the demand signals inside them usable at a scale that was previously out of reach.
For hotels, that creates an opportunity to understand more than what was booked. They can begin to understand what guests wanted, what stopped them, what they asked for, and what those patterns say about the demand they already have.
“Hotels have spent decades optimizing what happens after demand becomes a booking. We are interested in everything that happens before it does. Guest conversations contain an enormous amount of commercial context that hotels generate every day but rarely get to use. Anana is built to make that information usable.”
Ricardo Pantaleón, Co-founder and CEO of Anana
Availability
Anana is now available to hotel groups, management companies, and independent properties.
Visit getanana.com to learn more and see a demo.
Media Contact
Ricardo Pantaleón
Co-Founder [email protected]