Generative AI Integration

LLMs That Know Your Business

Generative AI is only useful when it understands your context. We build AI assistants and automation grounded in your data, compliant with GDPR, and deployed in your Azure environment — not on external servers.

GDPR-compliant by architecture
Hosted on Azure EU (Netherlands/West Europe)
Your data never trains public models

What we build with Generative AI

From RAG-powered knowledge bases to multi-modal document processing — practical GenAI that delivers ROI in weeks.

Most popular

Retrieval-Augmented Generation (RAG)

Connect LLMs to your internal documents, policies, and knowledge bases. AI that answers accurately from your data — not from hallucinated internet content.

Enterprise AI Assistants

Internal copilots for HR, legal, finance, and operations teams. Ask questions in plain language, get accurate answers from verified internal sources.

Document Intelligence & Summarisation

Automatically analyse, extract key information from, and summarise contracts, reports, and lengthy documents — reducing hours of manual reading.

AI-Powered Customer Support

Intelligent chat interfaces that handle tier-1 support, route complex issues, and draft responses — integrated with your CRM and ticketing systems.

Code Generation & Developer Tools

Custom AI tooling for your development teams — internal code assistants trained on your codebase, API documentation generators, and test writers.

Structured Data Extraction

Extract structured data from unstructured inputs — emails, PDFs, scanned forms — and feed it directly into your databases and workflows.

Why RAG — not fine-tuning

Fine-tuning an LLM is expensive, slow, and makes the model's knowledge static. RAG (Retrieval-Augmented Generation) connects the model to your live data — so answers are always current, auditable, and traceable to source documents.

Every answer can cite its source. Compliance teams can verify. Knowledge managers can update the underlying documents without retraining anything.

  • Answers always reflect current policy/data
  • Citations and source traceability built-in
  • No expensive GPU training required
  • Data stays in your Azure environment
  • Works with PDFs, Word, SharePoint, databases
Supported LLM infrastructure
Azure OpenAI (GPT-4o)EU data residency guaranteed
Mistral / LLaMA (self-hosted)Full data sovereignty
Embedding modelsFor semantic search & RAG
Azure AI SearchVector + hybrid search

Explore what GenAI can do for your organisation

Start with a free 45-minute strategy session. We'll assess your use cases and tell you what's realistic to build in 8 weeks.

Book Free Strategy Session