Enterprise AI Agents & Model Context Protocol (MCP) Solutions

No. Most enterprise AI agents call a managed cloud model, such as Google Gemini through Vertex AI in a European region or Anthropic Claude through a cloud provider, instead of running their own GPU servers. These models are billed by usage, so there is no hardware to buy, and current models accept very long documents in a single request. Enterprise agreements with the major providers typically state that customer data is not used for model training. We confirm the exact data terms for your region before anything goes live, and private or on-premise hosting remains an option for regulated data.

Never. We enforce enterprise agreements with strict Zero Data Retention (ZDR) policies in European data centers (Google Cloud Vertex AI, Anthropic, Azure OpenAI). Your data is processed in volatile memory only for the duration of the request and is never logged, cached, or utilized for model training.

MCP is an open, vendor-neutral industrial standard running within your own infrastructure. It provides strict, granular control over exactly which database records, files, and executable tools the AI model can access, preventing unauthorized data exfiltration.