Investor memo

One-pager for a lean pre-seed conversation.

On-prem AI platform for IP-heavy SMEs and regulated teams, built around a local AI workspace, private knowledge, workflow automation, operator controls, and benchmark proof.

Read FAQ Deck narrative

What it is

Sovereign AI Platform

Sovereign AI Platform runs on customer-controlled infrastructure, including air-gapped environments, for teams that cannot send sensitive data to cloud AI APIs. It starts from an Ollama + OpenWebUI baseline and adds the product layer needed for adoption.

Beta capability stack

What changes for clients

01

Private knowledge

Ask approved documents without sending sensitive data to cloud AI APIs.

02

Workflow automation

Turn classify, extract, route, summarize, and generate steps into repeatable local workflows.

03

Operator controls

Model/runtime state, RBAC + audit logs, offline updates, and diagnostics.

Problem

Cloud AI is not acceptable for the target segment.

AI demand is high, but data exposure and compliance risk block many organizations from using cloud AI APIs. The workaround is often brittle shadow AI. The better path is local, measurable, and supportable.

Alpha 1 demo

What the demo must prove in 1-2 months

  • Single-node Docker Compose install that runs locally.
  • Local AI workspace for document summarization/extraction, internal support, and poster-style text-to-image output.
  • Operator view for active model status, basic health, rollback path, and diagnostic export.
  • Benchmark harness using non-sensitive inputs; OpenAI gpt-4o-mini is only a text/domain baseline.

Current state

Proof today is intentionally narrow.

  • Running lab prototype baseline: Ollama + OpenWebUI.
  • Single-node Docker Compose deployment documented.
  • Next product-layer proof: private knowledge retrieval, workflow automation, model/runtime controls, and operator diagnostics.
  • Investor-safe public demo media is not published yet; capture must use a sanitized Alpha 1 flow.

Go-to-market

Start direct, then make delivery repeatable.

  • Direct design-partner pilots to prove workflows and collect benchmark evidence.
  • Partner-led deployments through integrators and hardware bundles once the delivery motion is repeatable.

Milestones after Alpha 1

Proof, pilots, then first paid deployment.

  • Benchmark report v1: reproducible, sanitized, investor-shareable.
  • 2 design-partner pilots in customer-like environments.
  • First paid deployment and a referenceable case study.