Custom Meta Llama Integration for Businesses

At MiT Software we deploy Meta Llama on your company's infrastructure with fully internal processing, zero dependency on external APIs and maximum data sovereignty. Self-hosted Llama 3.3 70B on EU cloud or on-premise is the solution for organisations with extreme confidentiality requirements that cannot transfer data outside their environment. Native GDPR compliance and documented EU AI Act compliance. Note: we work exclusively with EU-compatible Llama versions.

Custom Meta Llama Integration for Businesses

Why integrate self-hosted Meta Llama into your business with MiT Software?

Meta Llama is the reference open-source model for organisations needing to deploy AI on their own infrastructure without relying on external providers. Unlike Claude, GPT or Gemini — which require sending data to external APIs — Llama runs entirely within your infrastructure, under your exclusive control, with no data leaving your environment. For sectors with extreme confidentiality requirements — defence, investment banking, public healthcare, corporate intelligence — this characteristic isn't optional, it's a requirement. A critical fact for European companies: Llama 4 has licensing restrictions that explicitly prohibit its use and distribution in the European Union. At MiT Software we work exclusively with EU-compatible versions — currently Llama 3.3 70B — and verify licence compatibility before each project. The model offers frontier performance for most enterprise use cases and can be deployed on EU cloud (AWS Frankfurt, Azure West Europe, OVHcloud) or on-premise infrastructure with the appropriate inference stack.

benefit 1
Infrastructure assessment and GPU sizing
benefit 2
EU-compatible Llama version selection and licence verification
benefit 3
Inference stack deployment and internal APIs
benefit 4
GDPR and EU AI Act documentation as internal operator
benefit 5
Fine-tuning and model customisation
benefit 6
Monitoring, maintenance and model updates

Get to know our solutions in detail at Custom Meta Llama Integration for Businesses

Our solutions in

Custom Meta Llama Integration for Businesses

Unreal engine

Self-hosted Llama on your EU infrastructure: zero dependency on external APIs

Meta Llama 3.3 70B is the most capable open-source model available for deployment on your own infrastructure. No external API, no per-token cost, no data transfer outside your environment. We deploy Llama on your private EU cloud (AWS Frankfurt, Azure West Europe, OVHcloud) or on-premise, with frontier performance and structurally lower cost than any SaaS provider.

Unreal engine

The EU-compatible open-source model for sectors requiring maximum confidentiality

For organisations that cannot afford any data leaving their infrastructure — defence, intelligence, investment banking, public healthcare — self-hosted Llama 3.3 70B is the only viable option. Important note: Llama 4 has licensing restrictions that prohibit its use in the EU. We work exclusively with EU-compatible versions.

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Self-hosted Llama deployment on EU cloud or on-premise infrastructure

We deploy Llama 3.3 70B on your infrastructure: AWS Bedrock Frankfurt, Azure West Europe, OVHcloud Paris or on-premise servers. We configure the necessary GPU infrastructure, the inference stack (vLLM, Ollama, TGI) and the internal APIs that expose the model to your applications.

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Llama integration in CRM, ERP and internal enterprise platforms

We connect your Llama deployment with Salesforce, SAP, Microsoft 365, SharePoint and internal systems via private APIs. All traffic stays within your corporate network. Process automation, document analysis and intelligent assistants with zero data leaving your infrastructure.

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Fine-tuning Llama with your company's own data

We train custom versions of Llama with your company's specific data: technical documentation, ticket history, contracts, sector terminology. A model fine-tuned on your data systematically outperforms general-purpose models on your specific use cases.

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GDPR: zero personal data transfer architecture

With self-hosted Llama there is no transfer of data to third parties. The model runs on your infrastructure, under your exclusive control. The DPIA assessment under GDPR Art.35 is as simple as possible: no external processor, no international transfer, no risk of access by third-country authorities.

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EU AI Act: internal AI system with full chain control

By deploying Llama on your own infrastructure, your company simultaneously acts as provider and operator of the AI system under the EU AI Act. This gives you full control over the technical documentation, human oversight mechanisms and risk management procedures required by the regulation.

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Performance optimisation and GPU infrastructure

We optimise the inference stack to maximise Llama's performance on your hardware: quantisation, dynamic batching, KV-cache memory management and inference server configuration. We reduce per-inference cost and improve response times for your specific use cases.

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Inteligencia Artificial
JavaScript
Backend
API
RESTful
Cloud
Docker
Cloud Security
Microservices
Cloud Automation
Machine Learning
Chatbots
Generative AI
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AI Governance
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empresa de desarrollo en españa

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Our team of experts is at your disposal to answer your questions
We inform you, in accordance with the GDPR and LOPDGDD, that DIVERGENTS MINDS, S.L. collects and processes your personal data, applying the technical and organizational measures that guarantee its confidentiality, for the purpose of managing the contracting of the services provided in accordance with the relationship that binds us. For these purposes, you give your consent and authorization for said processing. We will keep your collected personal data for the minimum time necessary to manage the relationship that binds us. You may exercise your rights of access, rectification, erasure, limitation, portability and opposition by contacting the Data Controller at AV/ DIAGONAL, 131, BARCELONA, 08018, BARCELONA, sending an email to [email protected].

I have read and accept the privacy policy and the processing of my personal data as indicated above.

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