€2.8M raised

Six months after launch, we have raised €2.8 million to keep building the AI co-worker for hotel General Managers. The round was led by Playfair, with Nebular doubling down on their initial €800k investment, and angel investors including Paul Forster, co-founder of Indeed, joining the round.

We are already working with leading hotel groups across Ireland and the UK — GMs are getting hours back in their day and catching opportunities they previously did not have time to act on, without adding headcount. The funding will accelerate product development and support expansion into the UK, Europe, the US, and the UAE.

As part of the round, Floor Bleeker — former Group CTO of Accor, where he led a team of 1,500+ technology professionals and oversaw a budget exceeding $250 million — has joined us as a strategic advisor.

The platform has an incredible potential to disrupt hotel operations. It is the first AI service that can be enabled within a few clicks including the integration with major PMS providers. — Floor Bleeker, Former Group CTO, Accor; Strategic Advisor, Otel AI

The problem: hotels run on disconnected systems

Hotels operate some of the most complex environments in the service industry. A typical General Manager starts the day across multiple systems, reports, and dashboards — before they have even spoken to a guest or their team — trying to piece together what happened yesterday, what is going on today, and whether any problems are coming.

The tools already exist — but the work of connecting them, interpreting them, and acting on them still falls on people with limited hours in the day. The result is that GMs walk into data every morning, not decisions. Institutional knowledge lives in people heads rather than in systems. And when key staff leave, their reports, alert thresholds, and market intuition leave with them.

We have so many systems, and my time is limited. What I have always wanted is a system to connect with all our systems and do the heavy lifting of research to give the best information quickly to make better decisions and support the team. Otel does this while also flagging where we have problems and where we have opportunities. — Mark Scott-Lennon, Managing Director, Fitzpatrick Castle Hotel

Not another dashboard. A co-worker that gets the work done.

Otel sits on top of a hotel existing systems and turns them into a single operational layer. Instead of a GM switching between tools and manually stitching together decisions, our AI co-worker works across systems on their behalf — retrieving data, analysing it, and delivering finished work.

Hotels tell us what they need in plain English. A daily pricing analysis. A payroll alert. A board pack. These tasks — called Flows — run automatically and deliver the output straight to the inbox. No dashboard to check. No spreadsheet to build. Just work, handed off and returned done.

Every general manager I speak to tells me the same thing — they walk in every morning, open six or seven systems, and spend the first hour just trying to understand how their hotel is doing. We built Otel so that when a GM walks in, the picture is already there. The problems are flagged. The work is done. They walk into decisions, not data. — Paul Ryan, CEO and Co-Founder, Otel AI

Early results: more decisions, better outcomes

We are live with design partner hotels across Ireland and the UK, including the O Callaghan Collection, Fitzpatrick Castle Hotel, Johnstown Estate, and Killarney Park. Early results show what happens when hotel teams get hours back in their day — with a noticeable impact on both revenue and cost performance across properties.

At The Alex Hotel in Dublin, RevPAR grew 8.6% year-on-year in the first three months — not by adding headcount, but by giving the existing team an AI co-worker that handled the daily analysis across systems.

In a market saturated with siloed software tools, a clear problem remains: hotels are under resourced, under optimised and leaving millions of dollars on the table. Otel AI solves that problem by pulling together data from every aspect of a hotel business, analysing it, making recommendations and then executing them. — Chris Smith, Partner, Playfair