Sovereign AI data services for Europe’s most demanding industries
End-to-end strategy, data engineering, model training, and secure deployment – delivered by Tilde under full EU data control.
Trusted by organisations across Europe
What are AI data services?
AI data services help organisations prepare, structure, enrich, and manage the data required to build reliable AI systems. These services can include data engineering, data curation, annotation, AI training data preparation, and support for model training, fine-tuning and retrieval-augmented generation (RAG). Tilde provides AI data solutions for regulated European organisations that need full control over data residency, language quality and operational security.
Everything you need to deploy production-ready AI
Built for regulated sectors, complex European languages, and secure deployment.
Low-resource language expertise
AI built for Baltic, Nordic, and CEE languages - supported by in-house linguists, not English-centric shortcuts.
Data curation and preparation
Clean, structure, and annotate complex archives to turn raw data into AI-ready assets.
Sovereign and secure deployment
EU-based, on-premises, or private cloud deployment with full control over data residency.
Multimodal AI systems
Unified text, speech recognition (ASR), and voice (TTS) solutions - one partner, one architecture.
Designed for real-world, regulated AI use
Consultation & Specification
We define the roadmap and technical specifications, so you don’t require an internal team of experts.
End-to-End Managed Service
We handle everything from data cleaning to secure deployment. No internal data team needed.
Experience
A proven track record in the EU’s most highly regulated sectors - including government, finance, healthcare, and legal.
Data Residency
We guarantee your data stays in Europe or your local servers, meeting the strictest security mandates.
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
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.
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
Frequently asked questions
What is sovereign AI?
Sovereign AI refers to developing and deploying AI systems while maintaining control over data, infrastructure, access, and compliance requirements. For European organisations, this often includes EU-based or on-premises deployment, strong governance, and clear data residency controls.
Do AI data services include data engineering?
Yes. Data engineering is a core part of AI data services. It helps organisations collect, clean, structure, and prepare data so it can be used reliably for model training, fine-tuning, retrieval-augmented generation (RAG) systems, and other AI applications.
AI data services for professional environments
Talk to our team about secure, domain-specific AI solutions built for your organisation