We deploy AI where it pays off: LLM assistants, knowledge-base search, support and content automation. We work AI-first ourselves — agents accelerate development, reviews and tests, and we bring that experience into client products
LLM assistants and RAG search live in client products. Internally — AI at every stage: releases ship 30–40% faster
- Chatbots and assistants on Claude and GPT: from script to production
- RAG search across company documents and knowledge bases
- Automation of support, content and internal workflows
- AI audit: we calculate where LLMs pay off in your product — and where they don’t
FAQ
Where do we start with AI?
With an AI audit: in a week we calculate where LLMs pay off in your product and where they do not. Then a pilot on one scenario with metrics.
Which models do you use?
Claude, GPT and open models — the choice depends on the task, data requirements and inference budget. Client data is never used for training.
How much does an LLM assistant cost?
A pilot starts at $18k for 6–8 weeks: the scenario, RAG search over your knowledge base and answer-quality metrics before production.