Cloudflare Developer Platform Partner in the Benelux

Most web applications run server-side logic in a data centre. Cloudflare Workers moves that logic to the network edge, executing in the same location as your user. The difference shows up in response time, especially for users in markets that are far from your origin server.

We use Workers for middleware, API orchestration, personalisation, A/B logic, and server-side rendering. They integrate cleanly with Astro, Next.js, and React Router. Because Workers run on V8 isolates rather than containers, they respond immediately on every request, there is no warm-up period, no degraded first response.

The outcome for your business: faster pages, lower server load, and an architecture that handles traffic growth without requiring you to pre-provision capacity or manage regional deployments.

Most AI features in production rely on a centralised model endpoint. Every inference call is a network roundtrip to a server your application has to wait for. Workers AI changes that by running inference on Cloudflare's global network, close to the user.

We use Workers AI for classification, semantic search, content summarisation, and recommendation. For a commerce platform, that means product discovery that responds in real time. For a publishing platform, it means AI-assisted search that does not require a separate AI infrastructure layer.

Clients who want AI-powered features without the operational complexity of managing models, vector stores, and GPU capacity will find this a clean and maintainable solution.

D1 is Cloudflare's edge-native SQLite database. Queries run close to the user rather than in a single origin region, which removes the latency penalty that hits applications serving audiences across multiple countries.

R2 is Cloudflare's object storage. It is S3-compatible, so existing tooling and upload pipelines work without changes. The difference is that R2 has no egress fees. AWS S3, Google Cloud Storage, and most other providers charge you every time data leaves their network. At scale, large media libraries, high-traffic product catalogues, video assets that cost compounds quickly.

We pair D1 and R2 with Workers to build fully edge-native data layers. The result is a stack that reads fast globally, stores assets cost-effectively, and scales without the billing surprises that come with conventional cloud storage.

The Model Context Protocol gives AI agents a structured way to query external data sources, including content management systems. We build Cloudflare Workers-based MCP servers that expose your Sanity or headless CMS content to AI assistants and agents.

In practice that means: an AI assistant that can answer questions from your product catalogue, a support agent that draws on your knowledge base, a generative interface that surfaces relevant editorial content on demand. Your content strategy extends beyond the web page.

This is one of the more active areas of our current work. The clients moving first here are gaining a meaningful head start on how AI-native interfaces will consume and distribute structured content.