LLM Fine-Tuning and RAG for Regulated Organisations
Production-ready integrated AI systems
Tildeās LLM fine-tuning and RAG system combines domain-trained models with secure document retrieval for enterprise and regulated organisations ā built for domain reasoning, factual accuracy and sovereign EU deployment.Ā
Integrated retrieval and reasoning
Train models to work directly with your document retrieval system, using retrieved information according to domain-specific logic.
Fine-tuned domain intelligence
Fine-tune language models to apply domain terminology, reasoning patterns, and professional standards consistently.
Focused decision logic
Ensure the system follows structured reasoning logic, using only your organisationās approved internal sources - minimising misinformation risk and enabling full traceabilty.
Multimodal fluency
Enable a unified system that can listen (ASR), retrieve knowledge (RAG), and respond (TTS) with precision.
Designed for real-world, regulated AI use
On-premises and sovereign deployment
Deploy the full AI stack on secure EU cloud infrastructure or physical environments, ensuring data residency and compliance.
Increased accuracy
Achieve higher precision and reliability than standalone RAG or fine-tuning approaches.
Total data sovereignty
Maintain full control over proprietary data, models, and AI assets across the entire system.
Explore our specialised AI Data Service solutions
Explore Tildeās broader AI data services, including LLM fine-tuning, RAG and secure data preparation for regulated organisations.Ā
Managed knowledge-based AI (RAG)
Build AI systems grounded in your verified documents, delivering fact-based answers with citations and no misinformation or unsupported content.
LLM fine-tuning
Train AI models to master your domain terminology, tone, and cultural nuance for professional and regulated environments.
Why organisations choose Tilde
- Strategy first - clear specifications before implementation
- End-to-end delivery - no internal AI team required
- European language expertise - beyond English-centric models
- Data sovereignty - 100% EU-based and on-premises options
- Regulated-sector experience - government, legal, medical, finance
Frequently asked questions
What is LLM fine-tuning and RAG?
LLM fine-tuning adapts a language model to your organisationās terminology, tone and domain knowledge. RAG connects the model to verified documents and retrieves relevant information when answering. Together, they help create domain-specific AI systems that are factually grounded, securely deployed and under full data control. It is part of Tildeās broader AI data services, including standalone LLM fine-tuning and managed knowledge-based AI (RAG).Ā
What is the difference between LLM fine-tuning and RAG?
Fine-tuning trains the model itself on your domain data, terminology and workflows, making it consistently accurate without retrieving information each time. RAG connects a general model to your verified documents and retrieves relevant content at the point of answering. Tilde combines both approaches to deliver domain expertise and factual accuracy in one production-ready system.Ā
When should an organisation use LLM fine-tuning and RAG together?
An organisation should combine this integrated approach when it needs both domain expertise and factual accuracy. This is especially suited to legal, government, healthcare, and financial organisations that need controlled, traceable AI outputs.
Is Tildeās LLM fine-tuning and RAG solution deployed in the EU?
Yes. Tildeās integrated AI system is designed for EU-based, private-cloud or on-premises deployment, helping organisations maintain data sovereignty and meet European data residency requirements.Ā
AI data services for professional environments
Talk to our team about secure, domain-specific AI solutions built for your organisation