Otel

AI infrastructure designed for independent hotels

Your whole hotel,
in one mind.

Build the agents your hotel needs. Otel connects every system you run, so you walk into decisions, not data.

Results from hotels running Otel

20+
hrs/week
Back from manual reporting and analysis
100+
Connections
System integrations
10×
monthly
Pricing decisions
8.6%
in 3 months
RevPAR uplift
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What hotel teams deal with

It's not a knowledge problem. It's a capacity problem. Your team knows what to do, move the rate, answer the review, watch the payroll. They never reach the end of the list. The morning's gone before you've spent a minute with the team or guests.

Agents working in all your departments

One workplace. Every department covered.

Think of Otel as a really good colleague sitting next to you. One who has access to every system in your hotel. You give them any task in plain language. It comes back done. They have specialist skills across every department.

Revenue Specialist

How's our rate vs comp set right now? On which dates are we leaving money on the table?

  • Rate position vs comp set: flagged daily, not monthly
  • Underpriced dates identified automatically, with a suggested rate
  • Base business tracking: know your floor before you open inventory
  • Channel mix: where your bookings are actually coming from

The analysis that used to take your revenue manager an hour is done before they walk in.

Case Study · O'Callaghan Collection

The Alex went from reactive pricing to 120 rate actions a month. Same team. Same systems.

A four-property hotel group across Dublin and London. The revenue team knew where the gaps were. They just couldn't act on every date, every day. One Flow changed that: review the full forward calendar overnight, flag underpriced dates versus comp set, and have recommendations ready before the first cup of coffee.

+8.6%

RevPAR Growth

vs. same period last year

110.4

RevPAR Index

outperforming the compset

+5.0%

Above Budget

combined Jan–Feb room revenue

~120/mo

Rate Actions

via Flows, every month

I can't personally check every hotel every day but Otel AI gives me comfort that I can always see where the opportunities are, where the risks are, and that the team is actually acting on them.

Joanne McDonnell Group Cluster Manager O'Callaghan Collection

120 rate actions a month. Same team, same system, one Flow.

Same team. Same systems.Ten times the output.

Your team already knows what to do. They just don't have the hours to do it all. Otel handles the analysis, the monitoring, and the manual work, across every department, around the clock.

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Every System Connected

Live pulls from your PMS, RMS, payroll, F&B and comp set. Real context across your whole stack.

Today
with Otel

10×

Output

Same team. Same systems.

24/7

Always On

Works overnight. Works weekends. Never takes a day off.

6

Departments

Revenue · F&B · Payroll · Operations · Procurement · Guest Reviews

Agents that act with full context behind every move.

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Manual work

The repetitive work, handled

Pickup reports, pricing analysis, payroll reviews, daily sales, arrival prep: the work that eats your morning, built and delivered before you sit down. You set it up once; it runs every day.

Repetitive work handled illustration
Always watching

Agents that act on their own

Some problems you don't know to ask about. Otel watches every system and surfaces them on its own: a soft date with restrictions still on, a complaint theme repeating across reviews, payroll creeping up in one department, a purchase order to a supplier that isn't on your list. You're not relying on someone to spot it.

Always watching illustration
Knows Your Hotel

The brain behind every agent

The shared memory underneath every agent, and its memory of your hotel specifically. Your rate strategy, who you compete with and where you like to sit against them, the suppliers you actually use, the year you were closed for renovation. Generic AI knows what a hotel is. Otel knows yours.

Knows Your Hotel illustration

Case Study · Fitzpatrick Castle Hotel

Mark went from 3 weeks of bank submission analysis to 20 minutes. Same hotel. Same data.

113 rooms in Killiney, Co. Dublin. Mark and his team are planning a 15-room extension and the bank asked for projections — month-by-month revenue contribution, a post-expansion budget, and a presentation. Normally that's weeks of back-and-forth between the GM and revenue manager pulling data from Guestline. Instead, Mark gave Otel the context — seasonality, expected mix, achieved rate — and the full pack came back inside half an hour.

20 mins

Time to bank-ready projections

vs 3 weeks of back-and-forth

15 rooms

Rooms in appraisal

the expansion case being modelled

1 prompt

Excel + Deck + Budget

generated as one pack

2025

2025 actuals

grounded in the hotel's own data

This is probably 20 minutes work. It's not far off being able to send to the bank. If I had to pull this stuff from reports and present it, it might take three weeks of back and forth between me and my team.

Fitzpatrick Castle Hotel

Mark Scott-Lennon Managing Director Fitzpatrick Castle Hotel

A bank-ready expansion case, in the time it takes to make a coffee.

The operational layer your hotel runs on.

Built around how hotel teams already work.

One operational layer illustration

One operational layer

Direct connections to PMS, RMS, F&B and payroll. Not dashboards bolted on top. The actual systems you run on.

Live, not last-night illustration

Live, not last-night

Real-time state across every system. Nothing waits for the overnight sync.

Cross department by default illustration

Cross-department by default

Actions span revenue, operations, F&B and front desk. The handoffs happen on their own.

Audit-grade transparency illustration

Audit-grade transparency

Every recommendation shows its work. Click any decision to see which system was read and why the call landed where it did. Nothing's hidden behind the model.

Built for portfolio scale illustration

Built for portfolio scale

Multi-property out of the box. Drill into one hotel or compare across the group.

Built with operators illustration

Built with operators

Operators shape what we build next. Every line on the roadmap traces back to a hotel that asked for it.

Integrations

Connect the tools you already use

Your stack stays exactly as it is. We read it, reconcile it, and surface what matters. The morning brief lands wherever your team already works.

Duetto
Epos Now
Google Calendar
Google Chat
Google Drive
Gmail
Guestline
IDeaS
Duetto
Epos Now
Google Calendar
Google Chat
Google Drive
Gmail
Guestline
IDeaS
Duetto
Epos Now
Google Calendar
Google Chat
Google Drive
Gmail
Guestline
IDeaS
Lighthouse
Micros Symphony
M3
Opera
Planet
Slack
STR
WhatsApp
Xero
Lighthouse
Micros Symphony
M3
Opera
Planet
Slack
STR
WhatsApp
Xero
Lighthouse
Micros Symphony
M3
Opera
Planet
Slack
STR
WhatsApp
Xero

And 100+ more hotel systems.

Don't see yours? We'll connect it.

Built by operators

The team behind Otel AI

Built alongside the operators who live it every day. Advised by the former CTO of Accor. Backed by investors who understand hospitality.

Paul Ryan

Paul Ryan

CEO & Co-Founder

Obsessed with how hotels actually work

Nikhil Patil

Nikhil Patil

CTO & Co-Founder

AI & systems architect

Floor Bleeker

Floor Bleeker

Industry Advisor

Ex CTO of Accor

Built by operators who know hotels and engineers who know AI. Want in?

SECURITY

Secure by design.
Safe by default.

Visit our Trust Centre →
ISO 27001 Certified

ISO 27001 Certified

We hold ISO 27001 certification. The international standard for information security management.

GDPR

GDPR Compliant

We meet all GDPR requirements for data handling, storage, and privacy. Our practices are reviewed and maintained to keep your data protected.

SOC 2

SOC 2 Type II

We're in our SOC 2 observation period, with estimated completion in July 2026.

Got a question?

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