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Have an AI agent built for autonomous work processes

Designing and building autonomous AI agents that independently carry out work processes. From simple task automation to multi-agent systems with memory, planning, and tool usage.

An AI agent is more than a chatbot. It is a system that understands goals, plans tasks, calls tools, and executes steps — independently, without you having to be involved every time. From simple task automation to a multi-agent system with memory and planning.

We design and build agents based on LangGraph and the MCP protocol. Built around your processes, your data, and your way of working — not as a demo, but as a production-ready system.

An agent that does the work while you focus on what matters

An AI agent is more than a chatbot. It is a system that independently carries out tasks: conducting research, making decisions based on rules, calling external tools, evaluating results, and continuing or adjusting. Without someone needing to be there the entire time.

We design and build autonomous AI agents based on LangGraph — a framework that enables agents with memory, planning, and multi-step reasoning. Not a linear chain of prompts, but a real agent that handles uncertainty and unexpected situations.

What we build

Single agents for specific repetitive tasks: content generation, data analysis, customer query processing, internal reporting. Multi-agent systems where agents collaborate: an orchestrator directing sub-agents, each specialized in a subtask. Agents with tool usage: web searching, database queries, API calls, file processing. And agents with persistent memory via pgvector — so an agent knows what has been discussed or decided earlier.

This is how we work

No surprises, no empty promises. Just get it done.

1

Introduction

We discuss your situation, goals, and wishes. No obligations — just an honest conversation.

2

Plan & Quote

You receive a clear quote outlining what we build, when it's ready, and what it costs. Period.

3

Execution

We build, test, and keep you informed. No surprises, just results.

4

Delivery & Support

You get the keys and we stay close by. Direct support from the team that built it.

Interested in Agent Design?

Tell us about your project. We’ll think along right away — no sales pitches, no obligations.

An agent that does the work while you focus on what matters. Designed around your processes — not the other way around.

Frequently Asked Questions

What technology do you use for agent design?
LangGraph for agent orchestration, MCP for tool integrations, pgvector for memory and semantic search, BullMQ for asynchronous task processing. A stack ready for production.
Can you also build multi-agent systems?
Yes. We build multi-agent systems where agents collaborate — an orchestrator that distributes tasks among specialized sub-agents.
How do you give an agent memory and domain knowledge?
Via pgvector and a knowledge layer that feeds the agent your specific data, documents, and process knowledge. The agent knows what you know.

Do you want an AI agent that autonomously executes your work processes?

Tell us about your project. We’ll think along immediately — no sales pitch, no obligations.