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Layer 01 of the chain

AI agents for your software development and your business processes, under your control.

Agent platforms, software development automation and business-process automation: we design, secure, deploy and supervise your agents. Your data stays within your perimeter, and your teams approve every sensitive action.

Security and human control

Plugging in an AI agent is easy. Keeping it under control is our job.

An agent that acts on your systems needs the same safeguards as a new colleague. We build the guardrails in from day one, not after the incident.

  • Your data stays with you

    Agents and data hosted within your perimeter, on the cloud of your choice, European clouds included. Your data is never used to train models.

  • Least-privilege access

    Each agent only reaches the data and tools its task needs, with limited, revocable rights.

  • Guardrails on every exchange

    Sensitive data masked, hijacking attempts blocked, answers checked before any action.

  • People stay in charge

    Payments, emails, releases, deletions: sensitive actions wait for sign-off from someone on your team.

  • Everything is logged

    Every decision, tool call and approval is recorded and open to your teams.

  • Measured, capped, stoppable

    Quality evaluated continuously, costs capped, alerts on any drift, and any agent can be stopped at any time.

Your data stays with you, and no sensitive action goes out without human validation.

Our offers

AI agents that are useful every day, in production, under your teams’ control.

Who you will work with

Experts vetted by our engineers.

Have a project in this area? Describe your project →

Technologies

We work with your tools.

Frameworks

  • ADK
  • LangGraph
  • LangChain
  • CrewAI
  • OpenAI Agents SDK
  • Claude Agent SDK
  • Pydantic AI

Protocols

  • MCP
  • A2A
  • AG-UI
  • A2UI

Gateway and routing

  • LiteLLM
  • Portkey

Models and hosting

  • Gemini / Vertex AI
  • Claude
  • Azure AI Foundry
  • Amazon Bedrock
  • Mistral
  • Llama
  • vLLM
  • Ollama

RAG

  • pgvector
  • Qdrant
  • Weaviate
  • Elasticsearch
  • Vertex AI Search

Evaluation and observability

  • Langfuse
  • LangSmith
  • Arize Phoenix
  • OpenTelemetry
  • Ragas
  • promptfoo

Guardrails

  • NeMo Guardrails
  • Llama Guard

Orchestration

  • n8n
  • Airflow

Typical missions

Generic descriptions, no client details.

Typical mission 01

Automate the software development lifecycle (SDLC) with agents

RoleAI agent engineer, working with your platform or DevOps team.

Stack

  • LangGraph
  • CI/CD
  • Kubernetes

What the expert delivers

  • Agents connected to your repositories, tickets and CI/CD
  • Automated tests and reviews, validated by your developers
  • Visibility on what the agents produce and what they cost

Frequently asked questions

A question we have not answered?

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How do you keep AI agents under control?

By design: each agent only reaches the data and tools its task needs, guardrails filter what goes in and out, and someone on your team approves every sensitive action. Everything is written to an audit log, and any agent can be stopped at any time.

Is your data used to train models?

No. Your data stays within your perimeter, and we set up the models and their hosting so that it is not used for training.

What happens if an agent makes a mistake?

Sensitive actions wait for human validation, so a mistake is stopped before it has any effect. Answer quality is evaluated continuously, any drift triggers an alert, and every action can be traced in the audit log.

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