GenAI without orchestration is just a demo. Chatwolf puts it into production.
The engine that orchestrates LLMs, RAG, models and functions into operational workflows, wired into your systems.
Why it’s different
At the core is an orchestration engine. It takes a request and decides how to handle it, piece by piece: a deterministic function where the answer must be exact, an LLM where it needs to understand and write, retrieval over your documentation (RAG) when the answer lives there, a predictive model when it needs an estimate. Where you decide, it asks a person before acting. It plugs into your systems — ticketing, ERP, IoT, legacy applications — and it isn’t tied to one model or one cloud: change LLM tomorrow and the workflows stay. And the knowledge it answers on is governed: content gets in once it’s been validated.
Cloud, hybrid, on-premise or air-gapped deployment.
Services
A digital secretary that doesn’t just answer: it performs actions on the systems.
Industrial machinery
Smart ticketing and image-based alarm analysis to speed up diagnosis.
Regulated environment
Local LLMs only: data never leaves the perimeter.
