Sensitive work still needs AI
IP-heavy SMEs and regulated teams need document, support, and automation workflows without outbound AI calls.
Investor overview
Sovereign AI Platform targets regulated and IP-heavy teams that want AI capability but cannot send sensitive data to cloud AI APIs. The wedge is operability plus benchmark proof, not another generic chat UI.
Investment thesis
The opportunity is the segment that needs AI but cannot accept cloud data exposure. The product must therefore be local, measurable, and operable enough for IT/security review.
IP-heavy SMEs and regulated teams need document, support, and automation workflows without outbound AI calls.
Model/runtime visibility, RBAC, audit logs, diagnostics, and offline updates make local AI approvable.
Alpha 1 is measured by quality and throughput targets before broader rollout or stronger claims.
Proof status
Ollama + OpenWebUI baseline and documented single-node Docker Compose deployment.
Local AI workspace, private knowledge retrieval, workflow automation, model/runtime controls, RBAC + audit logs, diagnostics, and offline updates.
X: at least 80% pass rate. Y: N=3 users with fixed p95 targets for text and image-style workloads.
Agents, voice, observability, extension packaging, richer media workflows, and hardware-aware profiles.
Materials
The public materials are intentionally transparent about what is proven today and what still needs owner-approved demo media or benchmark evidence.
Readable summary of the product layer, current proof, ask, GTM, and milestones.
Answers on proof boundaries, air-gapped operation, OpenAI baseline use, traction, and roadmap.
Slide-like story spine for problem, solution, proof, product layer, milestones, and ask.
Investor contact
For investor conversations, include “Sovereign AI” in the subject and reference the memo, FAQ, or deck section you want to discuss.