Generative AI & LLM Development
We build generative AI applications that are grounded, accurate and secure — from RAG-powered knowledge assistants to document intelligence and semantic search over your own data.
What we build
Generative AI applications designed for real business use, not novelty:
- RAG knowledge assistants grounded in your content
- LLM applications and copilots
- Document intelligence and extraction
- Semantic and hybrid search
- Content generation with human review
RAG vs fine-tuning
Most business problems are solved better and more cheaply with retrieval-augmented generation than with fine-tuning. We help you choose: RAG to ground answers in current, private data; fine-tuning where you need a consistent style or format at scale — and often a combination of both.
Data engineering behind the model
Good generative AI is mostly good data plumbing. We build the pipelines, vector stores and evaluation that keep answers accurate and current, using tools such as Azure AI, Pinecone, LangChain and Hugging Face alongside models from Anthropic and OpenAI.
Frequently asked questions
Build a generative AI solution
Tell us what you'd like your teams to be able to ask — we'll ground it in your data.
Let's Talk AI