Enterprise AI
Production-grade AI infrastructure for enterprise teams — on-premise deployments, MCP server setup, agent-ready APIs, and full audit compliance.
AI Mate
June 19, 2026
Enterprise AI deployments fail for predictable reasons: auth systems that don't support non-human actors, APIs that return HTML errors agents can't parse, and infrastructure that was never designed to run at agent speed and scale. We fix the foundation first.
What We Deliver
- On-premise LLM deployment — self-hosted models (Ollama, vLLM) that keep data inside your network
- MCP server setup — production-ready MCP infrastructure with Bearer token auth and full audit logging
- Agent-ready API layer — structured JSON responses, atomic writes, and rate-limit-aware tooling
- Compliance and audit — every AI action logged with actor, timestamp, input, and outcome
- 6-week delivery — from infrastructure design to production go-live in a single quarter
Data sovereignty requirements?
We specialise in on-premise and private cloud deployments where all data stays inside your infrastructure. No third-party cloud processing.