AI integration for Hospitality & Food
Custom AI & Agents for Hospitality & Food companies — built to measure, not off the shelf.
What makes Hospitality & Food different?
The first impression starts on Google — before anyone walks through your door. We create digital experiences for hospitality businesses that are beautiful, fast, and functional.
From Amsterdam’s canal houses to local cafés in every Dutch city a strong online presence is no longer optional. Google is the new front door.
What we often see in Hospitality & Food
- Website that is slow, ugly, or barely functional on mobile
- No online reservation or ordering system — or an awkward one no one uses
- Completely dependent on Thuisbezorgd or Booking.com for visibility and revenue
- Menu changes that require calling the web developer
- Google Business Profile that doesn’t match what you actually offer
Hospitality businesses are unique, personal, and full of experience — a template website kills that. Your restaurant is not generic. Neither is your website. Custom means your personality shines through.
AI as a foundation — not a feature
Adding AI to a product isn’t the same as adding an AI button. Real AI integration means your application’s architecture is designed with agents, language models, and automation in mind — from day one.
We build applications that are agent-ready from the outset. Through the MCP protocol, AI agents can communicate directly with your platform: managing content, adjusting datasets, executing workflows. No loose plugin, no fragile connection — but an architecture that treats the agent as a first-class user of your system.
What we build
AI integrations that really solve something: text generation, classification, semantic search via pgvector, image analysis. Autonomous agents built with LangGraph that independently execute workflows — with memory, planning, and tool usage. MCP-ready applications so you or your clients can connect your own agent. AI translations baked into our dashboard — manage one language, the rest automatically. Agent-ready CMS so content management can happen without manual intervention.
Who is this for?
For companies wanting to deploy AI before falling behind. For teams looking to automate repetitive knowledge work. For SaaS products aiming to be agent-ready for their customers. And for anyone tired of AI demos without real implementation.
Concrete solutions for Hospitality & Food
No generic approach — solutions that fit the Hospitality & Food sector.
Beautiful, fast-loading menu pages (no PDF downloads)
Online reservation integration
Ordering system for pickup and delivery
Event and group booking
Atmospheric photo galleries that do your food justice
Support for multiple locations
Reservation systems (Formitable / OpenTable / Resengo), POS systems (Lightspeed / Untill), Online ordering platforms, Google Business Profile integration, Social media (especially Instagram), Review platforms
How we collaborate
Clear process, honest communication. Always.
Introduction
We discuss your situation, goals, and wishes. No obligations — just an honest conversation.
Plan & Quote
We create a concrete plan with scope, schedule, and price. No surprises afterwards.
Execution
You hear from us — not just when it's done. Transparent process, direct line to the building team.
Delivery & Support
We deliver and remain available. Your product is in good hands — even after going live.
Let's talk about AI & Agents for Hospitality & Food.
When is AI & Agents the right choice?
- Your team performs repetitive knowledge work. Research, content editing, data analysis, customer communication — an agent can take over or speed this up.
- You want to make your product agent-ready. Customers with their own AI workflows want to control your platform. MCP makes this possible.
- You process large volumes of content or data. AI can classify, summarize, translate, and structure at scale — without the error margin humans have.
- You’re building something new and want AI as a foundation. Not adding AI later as an afterthought, but building from the start for the agent layer.