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
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
Data sourcing & collection
We acquire and aggregate the raw materials needed to build AI-ready datasets:
- Sourcing: Ethical extraction of domain-specific data from public and licensed sources following AI Act guidelines and GDPR regulations
- Dataset Augmentation: Expansion of small datasets into large-scale training corpora
- Synthetic Data Generation: Creation of high-fidelity artificial data that mimics real-world patterns – ideal for rare edge cases or privacy-sensitive projects (GDPR compliant)
AI data cleaning & preparation (Human-in-the-Loop)
Data Structuring
- Unstructured-to-Structured Conversion: Converting scattered PDFs, legacy logs, and emails into machine-ready formats
- Removing Duplicates & Normalisation: Identifying and removing redundant information while standardising units, dates, and terminology
Human-Verified Data Cleaning
- Anonymisation: Automated detection of sensitive Personal Identifiable Information (GDPR/HIPAA compliant), followed by a human audit to ensure 100% privacy
- Noise Reduction & Filtering: Removal of irrelevant or poor data that can lead to model drift or poor performance
Data Enrichment
- Domain-Specific Metadata Tagging: Adding layers of context (sentiment, intent, entity recognition) using subject-matter experts
- Multimodal Synchronisation: Aligning text with images, audio, or video for complex, multi-functional AI models
- Entity Linking & Knowledge Mapping: Ensuring your AI understands relationships between people, places, and brands, eliminating ambiguity in complex datasets
- Granular Intent & Emotional Nuance: Capturing the “why” behind the words, through multi-layered intent and subtle sentiment labelling
- Data Validation: Auditing datasets for accuracy, consistency, and diversity
AI data services for professional 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
AI data services for professional environments
Talk to our team about secure, domain-specific AI solutions built for your organisation