What if your AI strategy does not depend on the price list or policies of an American tech company? Open-source AI models make that possible, and EasyData helps you deploy them safely and effectively.

Waarom open-source AI?

De AI-wereld wordt gedomineerd door gesloten systemen: modellen van OpenAI, Google en Anthropic die je uitsluitend via betaalde API’s kunt gebruiken. Je stuurt je bedrijfsdata naar hun servers, betaalt per token, en bent afhankelijk van hun voorwaarden en prijsstijgingen. Stopt de dienst of verdubbelt de prijs? Dan heb je een probleem.

Open-source AI offers a fundamentally different model. The source code and model weights are publicly available. You can run them on your own infrastructure, customize them to your specific needs and switch models without migration pain. This is not an ideological stance, it is a business strategy that protects you against vendor lock-in.

For European organizations an extra dimension is added: datasoevereiniteit. When you run an open-source model on your own infrastructure in Europe, your business data does not leave the country. No CLOUD Act risk, full GDPR compliance, and you retain control over who has access to your information.

De twee zwaargewichten: LLaMA en Mistral

In de wereld van open-source AI zijn twee spelers bepalend geworden: Meta’s LLaMA en het Franse Mistral AI. Beide bieden modellen die presteren op het niveau van gesloten alternatieven, maar met fundamenteel meer vrijheid.

LLaMA (Meta)

Meta’s LLaMA-serie (Large Language Model Meta AI) is een drijvende kracht achter de open-weights beweging. De focus ligt op parameterefficiency en schaalbaarheid: modellen die relatief klein zijn maar toch indrukwekkend presteren.

LLaMA 3 and LLaMA 4 are the current flagships, with LLaMA 3 performing comparably to GPT-4. The models are designed for researchers and developers who want to build customized solutions, from chatbots to specialized agents, without being tied to a vendor. Read more about how grote taalmodellen werken.

Een nuance: LLaMA wordt vaak “open-source” genoemd, maar is strikt genomen “open-weights”. Meta’s licentie bevat beperkingen en goedkeuringseisen voor grotere versies. Voor de meeste bedrijfstoepassingen is dit geen belemmering, maar het is goed om het verschil te kennen. Bekijk onze uitleg over open-source licenties.

Mistral AI

Mistral AI is a French company, founded by former researchers from Google DeepMind and Meta. Their models are known for efficiency: they often outperform larger competitors with fewer parameters.

The key innovation is Mixture of Experts (MoE): an architecture where only a portion of the model parameters is activated for each task. The result is higher speed and lower costs at equal quality.

The most important models are Mistral Large 3 (the flagship with 41 billion active parameters and a context window of 256,000 tokens), Mistral NeMo (a compact 12B model under the permissive Apache 2.0 license, ideal for self-hosting), and Codestral (specialized in code generation in more than 80 programming languages).

How do large language models work? View LLM explanation →

LLaMA vs. Mistral: a comparison

Both ecosystems are supported by platforms such as the Hugging Face Hub, where thousands of customized versions are available for specific applications, from medical analysis to software development. Read more about how machine learning en generatieve AI play a role in this.

Safety and European foundation: why it matters

The CLOUD Act risk

When you use a closed AI model via an American cloud platform, your data potentially falls under the CLOUD Act. This law gives the US government the right to request data from American companies, regardless of where that data is physically stored. Even if the servers are in Europe, American jurisdiction applies. For organizations working with personal data, medical data or government information this is a real risk. Read more about how digitale soevereiniteit en digitale onafhankelijkheid play a role in this.

European AI: Mistral as strategic choice

Mistral AI is not just an alternative to American models. It is a European company, based in Paris, operating under European legislation. The models are developed with European values around privacy and transparency. The permissive Apache 2.0 license on models like Mistral NeMo gives you complete freedom to use, customize and distribute the model without legal restrictions.

EasyData’s beveiligingsaanpak

Cloud and on-premise: the choice is yours

De kracht van open-source AI is dat je niet gedwongen wordt in een enkel deployment-model. Bij EasyData ondersteunen we beide scenario’s, afgestemd op je beveiligingseisen en schaalbehoefte.

Cloud deployment op Nederlandse infrastructuur. For organizations that want scalability without managing their own hardware, we run open-source models in our own data center in Europe. Your data does not leave the country and you are not dependent on AWS, Azure or Google Cloud. Read more about our cloudoplossingen and how your data safe in Europe blijft.

On-premise deployment. For organizations with strict security requirements, think of government, defense, healthcare or financial institutions, we install models directly on your own infrastructure. The data never leaves your own network. This is how on-premise documentverwerking looks when you combine it with the latest AI technology.

Hybride aanpak. Many organizations choose a combination: sensitive data is processed locally, while less critical tasks run in the cloud. Our architecture, based on proven open-source componenten such as OpenCV, RabbitMQ and Grafana, makes this flexibility possible.

View our cloud vs. on-premise approach More information →

How EasyData deploys open-source AI

We zijn geen wederverkoper van AI-API’s. We zijn softwareontwikkelaars die open-source modellen integreren in werkende oplossingen voor documentverwerking, data-analyse en procesautomatisering.

Our approach combines 25+ years of experience in document processing with the latest open-source AI technology. We use models like LLaMA and Mistral as building blocks in our ESV Platform, supplemented with proprietary algorithms for OCR, documentclassificatie en datavalidatie.

Dat betekent concreet: je documenten worden verwerkt door AI die draait op onze eigen infrastructuur of de jouwe. Geen data naar externe API’s, geen tokenkosten per aanroep, geen afhankelijkheid van een enkele leverancier. En als er morgen een beter open-source model uitkomt, stappen we over zonder dat jouw systeem stopt met werken.

Our mathematical developers fine-tune models specifically for your document types and processes. This delivers higher accuracy than a generic model, because the system learns from your data instead of from generic training sets. Read more about our maatwerkoplossingen.

Our implementation process