LLM Fine-Tuning for regulated and domain-specific AI
Everything you need to make LLM fine-tuning production-ready
Training data sources
Training data is built from your internal documents and audio. If additional coverage is required, we source licensed industry datasets, generate high-fidelity synthetic data, or use Tilde’s existing European linguistic assets.
Curate and prepare data
Datasets are collected, labelled, and refined to ensure precision, consistency, and relevance throughout the fine-tuning process.
Validate with experts
Human-in-the-loop validation by expert linguists and localisation specialists, backed by 30+ years of European language expertise, ensures cultural, linguistic, and professional accuracy.
Align terminology, tone, and culture
Models are aligned with your terminology, brand voice, and regional cultural expectations across formats and use cases.
Designed for real-world, regulated AI use
Train and deploy models
Fine-tuned models are trained and deployed on EU-based infrastructure or your organisation’s own local servers, including support for EuroHPC environments.
Achieve domain mastery
Models operate as subject-matter experts in finance, law, healthcare, government, and other regulated sectors.
Deploy securely and at scale
Assistance with compute optimisation, secure model training environments, and controlled deployment.
Explore our specialised AI Data Service solutions
Explore Tilde’s broader AI data services, including LLM fine-tuning, RAG and secure data preparation for regulated organisations.
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 + RAG
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?
LLM fine-tuning is the process of adapting a language model to a specific organisation, domain or use case. It trains the model to better understand your terminology, tone, data, and workflows, producing more accurate, consistent and domain-specific outputs. Tilde provides LLM fine-tuning for regulated European organisations that need secure deployment, language quality and full control over their data. LLM fine-tuning is part of Tilde’s broader AI data services.
When should an organisation use LLM fine-tuning?
An organisation should use LLM fine-tuning when a general AI model does not understand its specific terminology, tone, language requirements, or professional context well enough. This is especially relevant for enterprise LLM use cases, where accuracy, data control and domain-specific outputs matter.
What is the difference between LLM fine-tuning and RAG?
LLM fine-tuning adjusts the model itself, while RAG connects the model to external knowledge sources and retrieves relevant information during answer generation.
AI data services for professional environments
Talk to our team about secure, domain-specific AI solutions built for your organisation