HOTEL GROUPS
One data layer, every property connected
Guest apps and loyalty extend across properties on a shared layer — each property's PMS stays exactly where it is.
Where the engineering focus sits
Each property runs its own PMS instance. A shared data layer is what lets guest apps, loyalty, and reporting extend to every property at once, instead of being rebuilt property by property.
Case studies
Real work already in production — a closer look at the kind of problems it solves, before you describe your own.
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01
Revenue Management Platform
Challenge
The client's revenue management platform served multi-property hotel portfolios, but fragmented market data and complex integrations across PMS and distribution systems limited how much of the pricing workflow could run automatically.
Solution
Data pipelines aggregating competitor and market rate data, feeding directly into the platform's existing occupancy-based pricing engine. PMS and distribution integrations built out so rate decisions push through automatically.
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02
Passenger Check-in System
Challenge
A ferry operator needed passenger check-in and boarding kept accurate and synced between local terminals and a central office.
Solution
A check-in system with kiosk ticketing and barcode boarding, syncing passenger and reporting data between each terminal and the central office in real time.
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01
Integration & Middleware Delivery
The connectors get designed, built, tested, and handed off.
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Architecture and integration design for the systems that need to connect
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Development, testing, and production deployment of the middleware layer
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Documentation and handover to the internal team
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Support continues after launch
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02
Product Engineering Pod
A dedicated team, embedded in the backlog that's already there.
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A cross-functional team working in existing repos and sprint cadence
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Shared planning and regular demos with the internal team
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Scoped around the roadmap, not a fixed one-off delivery
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Support continues after launch
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03
Modernization & Migration
The architecture gets rebuilt under the platform, not around it.
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Architecture audit and a phased migration plan — no big-bang cutover
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Monolith decomposition, CI/CD, and infrastructure modernization as needed
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Automated testing and observability built into the new architecture
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Support continues after launch
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Talk to people who had actually work on this
Daria Pilyugina
Senior Business Development Manager
Technology and delivery partnerships: product integrations, subcontracted development, referral cooperation.
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Confidentiality built into every engagement.
An NDA is signed before any discovery call, securing every detail you share from the outset. Access to code and data stays limited to the engineers assigned to your project.
FAQs
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What if two properties run completely different PMS systems?
That's the normal case, not an edge case — the shared layer is built to normalize more than one PMS vendor at once.
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How long does it take to bring a newly acquired property onto the shared layer?
Once the pattern exists for a given PMS, connecting another property on the same system is considerably faster than the first one.
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Does guest data get centralized, or stay with each property?
The shared layer moves data between systems — it doesn't need to become a second copy of every property's guest database.
Still have questions?
Not covered here?
A direct question usually gets a faster answer.
Tell us about your project
A few sentences are enough to start –
we'll shape the details together on the call.
- Substantive reply within one business day
- A concrete next step, not a generic pitch
- NDA available on request
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