service
AI Systems Development
We develop AI systems for business as engineering infrastructure: contracts, state, model routing, observability and human control.
A production AI system is not a model with a prompt. It is a system with input/output contracts, observable state, model-routing rules and fault-tolerance layers. We develop AI as engineering infrastructure, not a capabilities demo.
What we develop
Multi-agent systems and AI agents for operations, knowledge-retrieval (RAG) infrastructure, business-process automation, omnichannel communication, monitoring and analytics. Every system is built around an explicit loop: context sources → supply the right fragment → orchestrate steps → tools and agents → handoff to a human → observability.
How it works
Task audit → architecture design (steps, contracts, model selection, control points) → a verifiable loop with a human in the loop → measuring on real data → scaling. For any result you can reconstruct which context was supplied and why a decision was made — without that the system can’t be debugged or proven predictable.
Model choice is a step decision
Not every step needs a strong model: classification and drafts go to a cheap fast one, critical steps to a strong one. The model is chosen by a step’s risk, quality and acceptable latency — not assigned globally. This is about quality and predictable cost at once.
Why Carbonfay
We’re an engineering company: we deliver a system with contracts, observability and predictable economics — operable and extensible. More: AI systems, multi-agent systems, RAG systems and cases.