Deploy anywhere
Runs where you need it
EU bare-metal, your own VPC, on-prem, or Azure. Same system, your choice of substrate — no rewrite to move it.
For the CTO
Private AI on infrastructure you control.
No cloud lock-in, no data leaving your walls. Deploy on EU bare-metal, your own environment, or Azure when policy points there — with a clean integration surface through MCP, REST APIs, and connectors.
MCP + REST
Hybrid retrieval
No cloud lock-in
What changes for you
Four things a CTO actually gets.
No lock-in
Portable by design
The corpus and governance layer stay portable. Swap models, swap hosts, keep your data and your pipelines.
Clean surface
Integrates without drama
MCP, REST APIs, Azure AI Search, and Copilot connectors expose governed context to Claude, Cursor, VS Code, and custom agents.
Yours to audit
Observable and governed
Per-tenant corpora, permissioning, citations, and audit trails. You can see exactly what was retrieved and why.
The platform behind it
The platform, in engineering terms.
Six layers you can actually integrate against.
Persistent memory
Stateful agents, encrypted secrets
A cross-session memory store plus an AES-256-GCM secret vault. Agents recall prior context; credentials are fetched by exact key and never embedded or logged.
MCP
Open MCP surface
A documented MCP server exposes governed corpora and tools to Claude, Cursor, VS Code and Copilot Studio. Per-tenant scoped tokens; index Gitea/GitHub repos for cross-repo code search, deps and overview.
Integrations
Code or no-code, your call
REST APIs and MCP for engineers; dedicated per-client n8n and Flowise containers for visual workflows. Azure AI Search and Copilot connectors when policy points to Microsoft.
Corpus
Hybrid retrieval, tenant-isolated
Vector + BM25 keyword fused by Reciprocal Rank Fusion, semantic chunking, ranked citations, retrieval profiles. Per-tenant corpus isolation enforced at the token.
Scrapers
Living corpora, auto-ingested
Scrapers and ingestion pipelines feed a master corpus continuously; living sources refresh without manual re-upload, with dimension-compatible embeddings throughout.
Fine-tuning
Tuning + distillation on private GPU
Model tuning, distillation and synthetic-data engineering on EU GPU infrastructure — specialise a smaller model to your domain, GPU-first with CPU fallback.
Proof
Already running in production.
MCP + API
Governed corpora exposed to agents through a documented Model Context Protocol surface, with per-tenant scoped tokens.
Hybrid retrieval
Vector + BM25 fused by Reciprocal Rank Fusion, semantic chunking, ranked citations — tuned per corpus.
EU GPU
Private GPU for tuning and distillation, GPU-first with CPU fallback; sovereign hosting, cloud when policy requires it.
Not your role?
See the same platform from another seat.
Bring your stack and your constraints.
Tell us your hosting model, your compliance line, and the systems it has to talk to. We will tell you exactly what should happen next.