◆ Service
AI agents & orchestration
We build multi-agent systems that do real work in production, not chat demos. Using LangGraph and GPT-4o, we design orchestrators that route each request to the right specialized agent, call your tools and APIs, remember context across sessions, and keep a human in the loop where it counts.
What you get
- LangGraph orchestrators and ReAct-style agents
- Tool and function calling wired to your APIs and systems of record
- Persistent, per-user memory that survives restarts and scales horizontally
- Human-in-the-loop review with per-field confidence scoring
- Full observability with structlog, Langfuse and LangSmith
- Shipped with CI/CD, Docker and AWS
- LangGraph
- LangChain
- GPT-4o
- Multi-agent
- FastAPI
Frequently asked
What is a multi-agent system?
It is an AI architecture where a central orchestrator routes each request to specialized sub-agents instead of one prompt trying to do everything. It is more reliable, testable and maintainable in production.
Which frameworks do you build on?
Primarily LangGraph and LangChain over GPT-4o, with FastAPI services, pgvector and PostgreSQL. We choose the model and stack around your constraints, not the other way around.
Can the agents use our internal tools and data?
Yes. We wire tool calling to your APIs, databases and systems of record, with authentication and guardrails so agents act only where you allow.
Have a ai agents & orchestration project?
Production-grade, owned end to end. Usually a reply within a day.