Industry
Hospitality Software Development Services — Hotels, Multi-Property Groups & Vacation Rentals
PMS integrations (Mews, Opera, RMS, CloudMailin), AI concierges grounded with LangChain + LangGraph RAG, Auth0-secured guest experiences, Jamf-managed in-room devices, and the Terraform-on-AWS platform underneath — built by DiveScale for production hospitality deployments.
The state of hospitality
Global hospitality market
Travel and hospitality is one of the largest service economies, with deep digital transformation runway across PMS modernization, guest-facing AI, and connected in-room experiences.
Guests prefer digital check-in
Mobile-first guest experiences — contactless arrival, mobile keys, in-app room service — are now the default expectation, not a differentiator.
Staff time on manual workflows
Hospitality teams still lose significant time to manual reconciliation between PMS, OTAs, payments, and CRMs that automation can reclaim.
What we build for hospitality teams
- PMS integrations we have shipped in production: Mews, Opera (Oracle Hospitality), RMS, and CloudMailin email-to-reservation parsing
- Two-way property data sync: reservations, folios, rate plans, room blocks, guest profiles, and arrival/departure flows
- AI concierge agents grounded in property data using RAG with LangChain and LangGraph orchestration — multilingual, escalation-aware, and audit-logged
- Next.js (App Router, RSC) guest-facing apps with Auth0 authentication, multi-property tenancy, and edge-cached marketing pages
- NestJS backend services with strict TypeScript, OpenAPI-first contracts, BullMQ job queues, and proper webhook idempotency
- Jamf-managed in-room iPads and tablets: zero-touch enrollment, kiosk mode, automatic content updates, and remote troubleshooting
- IMG.LY-powered marketing and stay-creative editors so hotel ops teams can produce branded assets without a designer
- Infrastructure as code with Terraform across multi-account AWS estates; AWS Lambda + API Gateway + EventBridge for event-driven flows
- Docker images built and signed in CI, deployed to ECS or Lambda Container Image — promoted via blue/green with automated rollback
- CI/CD with GitHub Actions: reusable workflows, OIDC into AWS, environment protection rules, and SBOM/Cosign signing on releases
- Channel manager and OTA distribution: Booking.com, Expedia, Airbnb, and direct OTA integrations where volume justifies it
- Stripe and Adyen integrations for direct bookings, deposits, incidentals, and post-stay charges — with PCI-aware tokenization
- Mobile keys, contactless check-in, room controls via BLE/IoT, and Apple Wallet pass issuance
- Multi-property revenue management dashboards, segment-level reporting, and OTA performance analytics
- Security baked in: Auth0 with MFA, scoped roles per property and role, SOC 2-aligned controls, audit logs, and least-privilege IAM
- Figma design system with Code Connect to keep the Next.js component library and Figma library in sync
Why DiveScale
Domain knowledge meets engineering rigor
Hospitality runs on a tangle of decades-old PMS, channel managers, payment processors, in-room devices, and CRMs — most of which were not designed to talk to each other cleanly. DiveScale ships hospitality software that respects the tangle: deeply tested PMS integrations with Mews, Opera, RMS, and CloudMailin; backends that survive vendor outages and quirky webhooks; and guest experiences that work on real hotel Wi-Fi.
We have shipped end-to-end hospitality platforms in production — not just slide-deck reference architectures. Our stack: NestJS for the API tier, Next.js (App Router with Server Components) for guest-facing and ops-facing UIs, AWS Lambda for event-driven workloads, and Terraform across the whole AWS estate so multi-property, multi-region rollouts are reproducible rather than manual.
On the AI side, our concierge agents are grounded in real property data using a RAG pipeline orchestrated with LangChain and LangGraph. We design the tool surface carefully: front-desk-safe actions only, refusal patterns when uncertain, multilingual coverage, and an audit trail every property manager can review. Hallucinations get caught by evals before they reach guests.
We treat the device fleet as a first-class problem. In-room iPads, kiosk tablets, and back-of-house Macs are managed via Jamf — zero-touch enrollment, kiosk mode, content pinning, and remote remediation. Front-desk and housekeeping never become unpaid IT support.
Marketing and stay-creative pieces are handled through embedded IMG.LY editors so hotel teams produce branded assets — room photos, promo banners, OTA hero images — without waiting for a designer or learning Photoshop. We integrate the editor with your DAM, fonts, and brand templates.
Operationally we cover the parts hospitality teams ask about three weeks into a project: GDPR-aligned guest data handling, PCI tokenization through Stripe or Adyen, mobile keys, contactless check-in, and the boring-but-critical reporting tools revenue teams live in. We build the seams properly so the rest of the platform inherits the discipline.
Hospitality solutions we deliver
How we deliver
Our hospitality delivery process
- 01
Stack & integration audit
We map your existing PMS (Mews / Opera / RMS / other), channel manager, payment processors, CRM, in-room devices, and identity stack. The audit produces a written integration surface, a webhook map, and a list of vendor outage modes we plan around.
- 02
Architecture & IaC foundation
We design the AWS account and network topology, lay it down in Terraform, and stand up the NestJS service tier, Next.js web tier, Auth0 tenant, and CI/CD on GitHub Actions. Environments are reproducible from Git on day one.
- 03
PMS + payment integrations
Mews / Opera / RMS / CloudMailin integrations are built with idempotent webhook handlers, reconciliation jobs, replay tooling, and a synthetic-traffic test suite that runs against vendor sandboxes nightly.
- 04
AI concierge & RAG pipeline
LangChain + LangGraph orchestration, property knowledge ingestion, vector store, eval harness with golden questions per property, and guardrails on the tool surface. Concierge ships in shadow mode first, then guest-facing once evals hold.
- 05
Device & creative tooling
Jamf enrollment profiles, kiosk apps, in-room iPad UX, and the IMG.LY-backed marketing editor — onboarded property by property with documented runbooks for housekeeping and front-desk teams.
- 06
Pilot + multi-property rollout
Pilot on a flagship property, gather front-desk and guest feedback weekly, then roll out across the portfolio with a documented onboarding playbook and per-property configuration.
- 07
Operate, observe, evolve
On-call coverage, CloudWatch + OpenTelemetry observability, monthly reporting on PMS integration health, AI concierge eval scores, and a roadmap driven by what the data actually shows.
Technologies we deploy for hospitality
OpenAI
Production-grade integrations with GPT-4o, GPT-4.1, o-series reasoning models, Realtime voice, embeddings, and the Assistants API.
Learn moreAnthropic (Claude)
Production builds on Claude Opus, Sonnet, and Haiku — long-context reasoning, tool use, prompt caching, and Computer Use agents.
Learn moreAgentic Workflows
Multi-step AI agents that plan, call tools, write to systems, and stay inside policy — with human-in-the-loop checkpoints where it matters.
Learn moreNext.js
Production Next.js engineering — App Router, RSC, edge runtime, ISR, SEO-first metadata, and the deployment topology that fits your workload (Vercel or self-hosted).
Learn moreNode.js
Production Node.js engineering — NestJS, Fastify, Hono, real-time systems, job queues, and the operational discipline that single-threaded runtimes demand.
Learn moreTypeScript
End-to-end typed engineering — React, Next.js, NestJS, Node, and shared schemas — with the discipline TypeScript was built for.
Learn moreAWS
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
Learn moreAWS Lambda
Lambda function design, optimization, and operations — cold-start mitigation, IAM scoping, observability, and the architectures where serverless wins.
Learn moreTerraform
Terraform engineering — module design, state strategy, multi-account governance, policy-as-code, drift detection, and CI-driven plan / apply for multi-cloud estates.
Learn moreDocker
Production Docker engineering — small images, multi-stage builds, BuildKit caching, security scanning, and the operational discipline containers deserve.
Learn moreGitHub Actions
GitHub Actions engineering — reusable workflows, OIDC-to-cloud, runner strategy, and the discipline that turns pipelines into a platform.
Learn morePostgreSQL
Production PostgreSQL — schema design, query tuning, replication, partitioning, and the operational discipline a serious database deserves.
Learn moreHospitality — Frequently Asked Questions
Mews, Opera (Oracle Hospitality), RMS, and CloudMailin in production. We have working knowledge of Cloudbeds, Stayntouch, RoomRaccoon, and several others, and have prototyped against their APIs. Where APIs exist we use them; where they do not, we work with the vendor or design careful bridges.

