ZettaBrain RAGv1.0.2

A boutique law firm indexes contracts, case files, and precedent documents stored on its local NAS and queries them through natural language. Because ZettaBrain runs entirely on-premises with Ollama and ChromaDB, privileged client data never leaves the firm's network. Associates get instant answers about clauses and obligations without manually searching folders.

A university research group stores years of PDFs, Markdown notes, and DOCX drafts on a departmental NFS share. ZettaBrain ingests these into a local vector store, letting researchers ask questions across the collective literature and lab notes. The on-device model keeps unpublished findings and grant data within the institutional firewall.

A factory indexes equipment manuals, safety procedures, and repair logs stored on a local server. Technicians on the shop floor use the web GUI to ask procedural questions and troubleshoot machinery on the spot. Running locally means the system works during network outages and keeps proprietary process documentation secure.

A clinic indexes internal policy documents, compliance guidelines, and training materials on a local drive. Staff query the assistant for protocol clarifications without sending protected health information to any cloud service. Local Ollama inference satisfies strict data residency and HIPAA-conscious requirements.

An independent financial advisory indexes client reports, fund prospectuses, and regulatory filings stored on a local drive. Advisors ask cross-document questions about portfolio exposure or disclosure requirements. Because embeddings and inference stay on-machine, sensitive client financial data is never transmitted externally.

The core RAG skill remains MIT-licensed and free, while a paid tier offers enterprise deployment assistance, priority support, and hardened installers for regulated industries. Revenue comes from annual support contracts and professional services for NFS/SMB/S3 storage integration.

ZettaBrain sells a managed deployment package where the vendor remotely assists with installation, model selection, and ongoing maintenance on the customer's own hardware. The customer retains full data sovereignty while paying for operational expertise. This appeals to organizations that lack in-house AI infrastructure skills.

ZettaBrain packages pre-configured document collections, prompt templates, and workflows tailored to specific industries such as legal, healthcare, or manufacturing. Customers buy a turnkey RAG solution with domain-tuned models rather than a generic tool. Revenue is generated through per-seat or per-deployment licensing of these vertical bundles.