Nothing missed. Nothing forgotten.
86 Labs pulls your systems, your guest requests and your conversations into one place. Your team spends the day with guests instead of chasing what slipped through.
Your hotel does not lack data. It lacks understanding.
A guest mentions an anniversary to the concierge. The restaurant never hears about it. A maintenance issue surfaces at midnight and waits on a handwritten note until the morning briefing, if it survives that long. A debriefing takes more than thirty minutes because someone has to rebuild it from five systems that have never spoken to each other.
You are not losing to another piece of software. You are losing to WhatsApp groups, Post-its, and a briefing PDF someone assembled by hand during night shift.
73 percent of travelers prefer hotels that personalize their stay using data the guest already gave them. Only 30 percent feel hotels actually deliver it. That 43-point gap is not a mystery. It is a preference that never made it from the concierge to the restaurant.
That is not an edge case. It is every single week, and no amount of staffing solves it on its own.
86 Labs sits on top of the systems you already run, and gives your team back the hours they spend hunting for information. Three modules. That is the whole platform.
Shadow listens to every guest conversation, phone calls, WhatsApp, texts, in any language, and turns what is said into a task for the right department instantly, whether a human took the call or Shadow's own AI voice did.
Active mode — a multilingual AI voice agent answers calls around the clock, logs the request, and creates the task on the spot. No guest waits on hold because of a language barrier.
Shadow mode — listens silently in the background of a human-staffed call and generates the task automatically. Nothing said gets lost because someone forgot to write it down.
Screen-pop — an incoming call is matched to the guest's profile before your team even picks up. They know who is calling, and why it matters, before they say hello.
One guest. One night. Six moments she never sees.
Isabelle checks in alone, in town for a work meeting. Nobody at the front desk asks about her anniversary, because nobody needs to: last time she stayed, she mentioned to a server, over dinner, that this was the date she and her husband got married.
She is upgraded to a better room to celebrate that special date.
Instead of the usual amenity, there is a card and a pen on the desk: a quiet way to write something to her husband, on the one night of the year that matters to them, even hundreds of miles from home.
She calls. Shadow listens in the background, and a priority ticket reaches engineering before she has even hung up.
Pulse hands the GM the night in one page: one incident, resolved within the hour.
It mentions the letter by name.
She just knows this hotel remembers her, because it does.
Built by hoteliers. For hoteliers.
We do not come from software with an idea about hospitality. We come from hospitality, and decided to build the tool it was missing.
86 Labs began with three people who arrived at the same problem from different directions. Mathieu spent years working in luxury hotels across Dubai, the south of France, and Mauritius, and started dreaming of a tool that would give hotel teams the intelligence they clearly deserved but never had. At the same time, without knowing him, Hadi and Francesco were already building exactly that. When they met, there was nothing left to convince anyone of. The operator had found the builders. Fabrizio joined shortly after to lead growth and strategy.
We are not consultants who read a report on hospitality and decided to disrupt it. We come from inside the industry, and we are building the next chapter of it, with the people who have been running hotels for decades, not around them.
The hotel industry is experiencing something it has never seen before: an AI wave rolling across every industry at once, and no one truly understands what it can actually do in operations.
"AI" is in every deck and every article. The actual question is simpler: how do you organise a hotel so the people working there do their jobs better and the guests have a better stay? Almost nobody is answering that one.
It is not really an AI question. It is about how information moves, how decisions get made, and whether a team anticipates or reacts. We build the tools that let hotel teams be extraordinarily human, at a scale that was not possible before.
Every module we build makes someone better at what they do, it does not do it for them. If a hotel ever ran on 86 Labs with no one left in it, we would call that a failure.
We arrive with questions, with listening, and with real operational knowledge.
AI is a tool, not an answer. We build things that hold up on a busy Saturday night in an understaffed hotel.
We are part of the hospitality community, building something alongside the hotels we work with, not selling to them from outside it.
We say what we think, and share bad news as fast as good news. We do not sell what we cannot deliver, and we tell a hotel when the product is not yet right for their context.
We come from hospitality, and speak to hotel teams as equals, not from an ivory tower. Operational expertise is not optional here, it is a prerequisite.
Technology exists to serve people, the hotel team and the guest, never the other way around. Every product decision goes through one filter: does this make someone better at their job, or does it replace their job?
Trained at EHL Lausanne. F&B Executive across Four Seasons and the Madinat Jumeirah cluster in Dubai, then Assistant Restaurant Manager at The Maybourne Riviera, leading a team of 30+.
MSc Data Science & Business Analytics at ESSEC | CentraleSupélec, BBA at Esade. Founded BLOQ AI while still a student and built OsmoseIQ, a working AI operations layer for hotels, from scratch.
MSc Data Science & Business Analytics at ESSEC | CentraleSupélec, BSc in Economics & Computer Science at Università Bocconi. Co-developed OsmoseIQ at BLOQ AI.
Double degree in Management (ESCP Business School) and Data Science & Engineering (Politecnico di Torino). Leading our growth and strategy.
If guest experience is a stated priority for your team rather than an afterthought, we should talk.
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