The 9 best LLM integration specialists in the Netherlands (2026)
How this list came about
For this overview, we researched Dutch agencies and specialists through their own websites and portfolios, and included only parties with a recognisable track record of integrating language models into existing software and products. The descriptions are neutral and descriptive; there are no scores, reviews or performance rankings. Appfront is listed first as the compiler, transparently marked as such. We link to each agency so you can compare for yourself. We looked at:
- Proven integration experience: language models built into existing systems, not just standalone demos
- APIs and open source: expertise with both the OpenAI and Anthropic APIs and open-source models
- Approach to data and privacy: clarity about where data goes and how sensitive information is handled
- Output evaluation: measuring whether results are correct and catching errors before they reach users
- Maintenance and upkeep: what happens after go-live as models change or the product grows
- Ownership: you retain ownership of the code and the integration, without lock-in to a single vendor
The top 9 LLM integration specialists in the Netherlands
Appfront (Amsterdam)
Custom software and app agency that builds LLM integrations directly into existing products
- ✓ LLM features built into existing SaaS, apps and workflows
- ✓ Integrations with the APIs of OpenAI and Anthropic, as well as open-source models
- ✓ Private and on-premises set-ups for strict privacy requirements
- ✓ From design to maintenance in one team, with a fixed point of contact
- ✓ Specialisms: document processing, AI features, custom integrations
Appfront is a software company from Amsterdam that builds custom web applications, mobile apps and integrations for Dutch organisations. In the field of language models, Appfront builds LLM integrations directly into existing software and products: AI features in a SaaS product, document processing in a workflow, and integrations with the OpenAI and Anthropic APIs or with open-source models. For organisations with strict privacy requirements, Appfront also works with private and on-premise setups. Appfront compiled this overview.
Custom LLM integrations → Private LLM on-premises →LLM integration in custom software and products, from API to private model.
WeAreBrain (Amsterdam)
GenAI agency that builds solutions with OpenAI, Azure, Claude and Google Gemini
WeAreBrain is a GenAI agency based in Amsterdam that builds solutions using leading language models, including OpenAI, Azure, Claude and Google Gemini. Their work includes document automation, content generation and process automation within existing business workflows. They focus on organisations looking to embed generative AI into their day-to-day processes.
View WeAreBrain →Xomnia (Amsterdam)
Data and AI consultancy with domain-specific assistants and accurate retrieval
Xomnia is a data and AI consultancy based in Amsterdam. Language models feature regularly in their work, for example in building internal knowledge sources with accurate retrieval, domain-specific assistants and automating reporting. The company helps organisations define their data and AI strategy and put models into production.
View Xomnia →Digital Tribes (Netherlands)
Specialist in local, on-premise LLMs on open-source models (Llama, Mistral, Qwen)
Digital Tribes specialises in local, on-premise LLM implementation. The agency runs open-source models such as Llama, Mistral and Qwen on its own hardware and integrates them into existing software, keeping prompts and documents within the client's environment. Alongside implementation, they provide stack selection, security hardening and developer guidance.
View Digital Tribes →Agencies #5 – #9
#5 IntraGPT (Enschede & Amsterdam)
Private Dutch serversIntraGPT offers a platform that allows organisations to run open-source language models on private Dutch servers, without data going to external parties. This enables businesses to deploy locally hosted AI assistants and workflow automation. The company combines its own platform software with consultancy and custom development, with a focus on regulated sectors.
View IntraGPT →#6 LocalLlama / AT Computing (Velp)
Data sovereigntyLocalLlama is an initiative of AT Computing, a Dutch open-source specialist that has been operating since 1985. With LocalLlama, organisations run large language models entirely on their own infrastructure, so that data never leaves the network. The approach is aimed at parties who, for reasons of data sovereignty and compliance, prefer not to work through an external cloud.
View LocalLlama →#7 Mobile XL (Geleen & Utrecht)
CRM and ERP integrationMobile XL connects Claude, ChatGPT and other language models to existing business software, such as CRM and ERP systems. The aim is to automate tasks, generate insights and support communication within those systems. The agency has offices in Geleen and Utrecht.
View Mobile XL →#8 Wise Minds (Amsterdam)
AI in SaaS productsWise Minds is an Amsterdam-based software team that adds AI functionality to existing SaaS products. With a dedicated team, they build an AI layer that integrates with a product's own data, so the functionality aligns with what makes that product distinctive. Their focus is on SaaS scale-ups looking to weave AI into their existing offering.
View Wise Minds →#9 Codelevate (Amsterdam)
SaaS + AI featuresCodelevate is a software company from Amsterdam that builds production-ready SaaS platforms and AI features. Its services include AI-driven features, LLM integrations and API integrations, aimed at companies developing a software product. It also offers technical leadership support for product teams.
View Codelevate →All 9 LLM integration specialists at a glance
A direct comparison by focus, typical client and office location. Use this table to quickly see which type of partner best suits your situation.
| # | Agency | Focus | Typical client | Location |
|---|---|---|---|---|
| 1 | Appfront | LLM integration in custom software and products (API and private) | Organisations wanting to build AI into their own software | Amsterdam |
| 2 | WeAreBrain | GenAI with OpenAI, Claude, Gemini; document automation | Businesses embedding generative AI into workflows | Amsterdam |
| 3 | Xomnia | Data and AI consultancy, domain-specific assistants | Organisations with a data and AI strategy question | Amsterdam |
| 4 | Digital Tribes | Local, on-premise LLMs on open-source models | Parties with strict privacy and security requirements | Netherlands |
| 5 | IntraGPT | Private LLM on Dutch servers, platform and custom development | Regulated sectors that want to keep data in-house | Enschede / Amsterdam |
| 6 | LocalLlama (AT Computing) | Large language models on your own infrastructure | Organisations for which data sovereignty is a requirement | Velp |
| 7 | Mobile XL | Integrating language models with CRM and ERP software | Businesses that want AI in their existing business systems | Geleen / Utrecht |
| 8 | Wise Minds | Adding AI features to existing SaaS products | SaaS scale-ups | Amsterdam |
| 9 | Codelevate | SaaS platforms with AI features and LLM integrations | Product companies building SaaS | Amsterdam |
Which LLM route suits your product?
Almost every LLM integration sooner or later comes down to the same choice: do you use an external API from a provider such as OpenAI or Anthropic, or do you run an open-source model on your own or a private infrastructure? Both routes are legitimate; they simply suit different requirements.
API from OpenAI or Anthropic
Direct access to strong, well-maintained models without having to manage hardware yourself. You are productive quickly, and operations rest largely with the provider.
- Ideal if you want to start quickly
- Prompts and data go to an external party
- Note: depends on terms and model changes
Open-source or on-premise
Prompts and documents stay within your own network or a managed Dutch environment. Attractive where privacy and compliance weigh heavily.
- Ideal for strict privacy requirements
- Favourable costs at high volume
- Note: you manage and secure the model yourself
A combination
In practice, latency also plays a part: how quickly does an answer need to come back? Often a mix is the best choice, matched to the type of task.
- API for general tasks
- Private model for sensitive documents
- Benefit: privacy, cost and speed in balance
What should you look for when choosing?
The LLM integration market is growing fast and also attracts parties that promise more than they deliver. Watch for these signals when choosing a specialist.
Deal breakers
- Only standalone demos built, never an integration into existing systems
- Unclear where your data goes or how sensitive information is handled
- No plan for what happens after go-live
- You lose ownership of your code or are tied to a single supplier
Warning signs
- Masters only one route — either API or open-source only — and chooses by preference rather than by your requirements
- No clear way to measure whether the output is correct
- No attention to catching errors before they reach users
- Unclear cost model as volume grows
Green flags
- Demonstrably builds language models into existing software, not just demos
- Masters both the APIs of OpenAI and Anthropic and open-source models
- A clear approach to data, privacy and evaluation of output
- Thinks about management, maintenance and ownership after go-live
Looking for something else?
LLM integration borders on a few related topics. If you are looking for something slightly different, see one of these overviews:
- Best AI chatbot agencies — for customer service chatbots that answer questions from visitors and customers, rather than AI built into your product.
- Best AI agencies in the Netherlands — for a broader overview of AI agencies, beyond language models.
- Best RAG implementation agencies — for AI knowledge bases that answer questions based on your own documents.
Conclusion
The Dutch LLM integration market ranges from agencies that build language models via an API into existing software, to specialists who run complete open-source models on their own or private infrastructure. Which party suits you depends mainly on your requirements around privacy, cost and latency, and on the type of task you want to automate. The nine parties in this overview each have a recognisable practice in this field.
Looking to build a language model into your own software or product? Appfront helps with custom LLM integrations and, for models that run within your own environment, private on-premise LLM. You can discuss the right route for your situation without obligation via contact.
Frequently asked questions about LLM integration
What this article is and isn't. This is an overview of Dutch specialists in LLM integration: parties that build a language model such as GPT, Claude, Gemini or an open-source model into existing software or a product. It is not about customer service chatbots as an end in themselves, nor about knowledge base search solutions as a standalone product, nor about general AI agencies covering the entire field. Looking for an AI knowledge base built on your own documents? See our comparison of RAG implementation agencies.
Why Appfront for LLM integration
Most parties deliver advice, a model or a proof of concept. Appfront builds a working product with the language model inside it, from design through to management, with a single fixed point of contact. This is what that difference concretely means.
Built into your own software
Appfront builds custom software, apps and AI from Amsterdam. A language model doesn't land as a separate tool alongside your work; it is built in where the work already happens: in your SaaS, your internal application or your document flows, connected to your own data.
Custom LLM integrationsAPI or private, tailored to your requirements
Are you working with the APIs from OpenAI and Anthropic, or would you rather run an open-source model within your own environment? Appfront is equally at home with both routes and chooses based on your requirements for privacy, cost and latency. For sensitive data, private and on-premise setups are possible.
Private on-premise LLMFrom design through to maintenance
No loose ends between design, integration and production. Appfront builds the entire chain and stays involved after go-live, whether models change or your product grows. You keep ownership of your code and the integration.
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