Fully integrated, sovereign AI for regulated organisations
Production-ready integrated AI systems
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 organisation’s 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
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.
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
- 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