Hosted enterprise AI portals promise 'your data, your tenant' — but you still sign a DPA, audit subprocessors, and trust a vendor cloud. PrivateDocs AI moves the entire RAG pipeline onto hardware your IT team already controls, eliminating the vendor data path entirely.
Compared to: Glean · Azure OpenAI · AWS Bedrock Knowledge Bases · Google Vertex AI Search
PrivateDocs AI vs. hosted enterprise RAG portals and tenant AI subscriptions
| Feature | PrivateDocs AI | Enterprise AI Portals |
|---|---|---|
| Vendor data path for AI inference | None — runs on hardware you own | Vendor cloud (even on 'private' tiers) |
| DPA & subprocessor list | No DPA for the on-device AI path; review control-plane data separately | Multi-page DPA + recurring audits |
| Data residency | Wherever the laptop sits | Limited to vendor regions |
| Deployment model | Native desktop install per user | Tenant provisioning, SSO config, admin console |
| Pricing | $249 lifetime per user | $30–$60+/user/month, annually |
| Lock-in | Your vault is a local, exportable folder | Vendor-tenant lock-in |
Account sign-in uses standard Supabase Auth. Because documents and AI workloads never touch our servers, IT teams don't need a tenant, SSO federation, or a subprocessor review for the AI data path — only for the lightweight account and billing path.
Each user installs the native desktop app and signs in. Their vault lives on their machine, secured by existing FileVault / BitLocker policy. There is no server to provision and no tenant to configure.
$249 one-time license. No recurring fees. Document content stays local for AI processing.
PrivateDocs AI vs. Ollama — Production-ready RAG vs. raw model runtime
PrivateDocs AI vs. self-hosted AnythingLLM, LangChain, and LlamaIndex setups
PrivateDocs AI vs. ChatGPT, Claude, Gemini, and Copilot for confidential documents
PrivateDocs AI vs. ChatGPT Enterprise, ChatGPT Team, and Microsoft Copilot for confidential document workflows