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OUR SERVICES

What we build.

From audit to production. Across every domain.

01

RAG & Graph RAG

Your documents contain answers. We make them accessible through conversational search systems that cite their sources.

What we deliver

  • RAG or Graph RAG system configured on your data
  • Conversational search interface (web or Teams/Slack)
  • Automated indexing pipeline
  • Technical documentation and user guide
Azure OpenAIAnthropic ClaudeLangChainPostgreSQL + pgvectorNeo4j (Graph RAG)
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02

ML Classification

Automatic classification of documents, emails, tickets or records. Models trained on your real data and operated in production.

What we deliver

  • Dataset preparation and labelling
  • Trained classification model + scoring API
  • MLOps pipeline and quality monitoring
  • Retraining plan and knowledge transfer
Pythonscikit-learnAzure MLMLflowDocker
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03

Agents & MCP

Your business tools connected to AI via MCP. Reliable, traceable automations tailored to your processes.

What we deliver

  • Agent workflow design
  • Custom MCP server development
  • ERP, CRM, DMS and internal tool integrations
  • Security, audit logs and documentation
MCPAzureAnthropicPythonNode.js
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04

Copilots & AI assistants

Your teams already use AI assistants, often without a framework. We select the right tools, configure them for your security constraints, and make their use measurable and compliant.

What we deliver

  • Use-case scoping and tool selection suited to your teams
  • Secure configuration, MCP servers and connection to your repositories and business tools
  • Governance framework: usage policy, logging, GDPR and AI Act
  • Progressive rollout, measurement of real impact and team upskilling
Claude CodeGitHub CopilotMicrosoft 365 CopilotopencodeMCP
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Our 5-step approach

1

Audit & Scoping

Analysis of your data, infrastructure and constraints (GDPR, security, legacy).

1 week
2

Technical PoC

A working prototype to validate the chosen approach.

2 weeks
3

Development

Building the full system, pipelines and user interface.

3–5 weeks
4

Testing & Tuning

User tests, performance tuning, edge-case fixes.

1–2 weeks
5

Rollout & Training

Go-live, documentation and training of internal teams.

1 week