ZettaBrain brings AI-powered document search to your own infrastructure — no cloud, no API keys, no data leaving your server. Start with a single user or deploy for your whole organisation.
PowerShell — run as Administrator
ZettaBrain RAG for individuals and small teams. ZettaBrain Teams for organisations that need per-team isolation, Active Directory SSO, and audit logging.
Ask questions in plain English, get sourced answers drawn from your own files — running entirely on your own server. Every response shows the exact document chunks it was drawn from so you can verify the source.
Multi-tenant RAG server for organisations. Each team gets its own isolated document library with strict data boundaries — combined with Model Governance, Hybrid Model Support, Active Directory SSO, cryptographically verifiable answers, and a full admin interface.
Every query passes through a five-stage pipeline that combines keyword and semantic search before sending only the most relevant context to the local LLM.
sources in the CLI at any time to inspect them.ZettaBrain is useful for any organization that manages sensitive documents and needs a way to search and query them — without routing data through a third-party API.
Law firms and in-house legal teams work with confidential contracts, case files, and regulatory documents. ZettaBrain lets staff ask plain-language questions across all of it — without sending a single file to a cloud AI service.
Clinical teams and administrators manage sensitive patient documentation, clinical guidelines, and compliance records that cannot be processed by external AI services. ZettaBrain runs entirely inside your own infrastructure.
Banks, asset managers, and insurers need fast access to regulatory filings, internal policies, and client documentation — and they need that access to stay inside their security perimeter.
Government agencies and defense organizations often operate in air-gapped or restricted environments where cloud AI tools are simply not an option. ZettaBrain can run with no outbound internet connectivity at all.
Research institutions accumulate large bodies of papers, lab reports, and internal documentation. ZettaBrain helps researchers find answers across their own corpus without depending on generic public AI tools.
IT and operations teams maintain large volumes of runbooks, architecture docs, and vendor manuals on shared drives. ZettaBrain turns that NFS or SMB share into a knowledge base your team can query in plain English.
Most document AI tools require cloud APIs and managed services. ZettaBrain is built around the opposite assumption.
The embedding model, the LLM, and the vector store all run on your machine. No OpenAI keys, no Anthropic keys, no egress charges — and no risk of your documents appearing in someone else's training data.
ZettaBrain connects directly to your NFS mounts or SMB shares. Your files stay exactly where they are — there's no migration, no upload step, no new storage platform to manage.
Every response includes the specific document chunks it was based on. Users can check the original file — important for legal, compliance, and any context where accuracy needs to be verifiable.
One-line installer handles OS detection, Python, Ollama, and model download on Linux, macOS, and Windows. Most teams are up and running the same day.
Runs on CPU-only hardware (a smaller model is recommended), and accelerates automatically when NVIDIA, AMD, or Apple Silicon GPUs are detected. The wizard recommends the right model for what you have.
One installer — detects your OS and package manager automatically. No manual steps for each platform.
Ubuntu 22.04+ — full GPU support, systemd service, apt-based install
RHEL 8 / 9 / 10 — DNF / YUM package manager, systemd service
Apple Silicon (M1/M2/M3) and Intel — Metal GPU acceleration
Windows 10/11 and Server 2016+ — PowerShell + winget
NVIDIA CUDA, AMD ROCm, Apple Silicon Metal — auto-detected
Storage: Local disk · NFS · SMB/Samba · AWS S3 · MinIO · Ceph
Built by engineers with deep roots in enterprise storage and AI infrastructure at Amazon Web Services, NetApp, and Hewlett-Packard.
A globally recognized storage systems engineer whose career spans Amazon Web Services, NetApp, and Hewlett-Packard. Olajide has built breakthrough storage technologies serving millions of users worldwide — from intelligent data tagging solutions to hybrid storage optimizations that delivered significant cost reductions and efficiency gains for enterprise customers.
Author of "Intelligent Data Management And Security" and a recognized thought leader in major cloud storage technical communities. Multiple industry awards for technical excellence and leadership. Advanced degrees in Computing and Forensics Information Technology.
Bridges the gap between complex storage infrastructure and enterprise usability, translating ZettaBrain's sophisticated hybrid storage technology into intuitive interfaces that empower teams to maximize their AI and ML workloads. With extensive experience building scalable frontend platforms across high-traffic enterprise environments, Tife specializes in creating performance-driven dashboards, monitoring consoles, and developer tools that make complex backend systems accessible and actionable.
At ZettaBrain, Tife architects the user-facing layer of our storage solutions — designing real-time performance monitoring dashboards, resource allocation interfaces, and management consoles that help enterprises visualize storage efficiency and track AI workload optimization. AWS Solutions Architecture and Cybersecurity certified, with hands-on experience in secure system design and PCI DSS compliance, bringing a security-conscious approach to building interfaces for enterprise-grade infrastructure.
Full-stack software engineer with 10+ years of experience building scalable, secure, and innovative solutions across fintech, gaming, edtech, and enterprise. At ZettaBrain, James leverages his expertise in cloud architecture and AI/ML integration to build robust, high-performance systems that power our next-generation storage platform.
AWS and GCP Certified Professional Cloud Architect with deep expertise in modern web technologies, LLM integration, and blockchain systems. Proven track record delivering 20+ projects across diverse tech stacks, specializing in React, Next.js, Node.js, NestJS, and cloud-native architectures.
Brings over a decade of commercial experience across enterprise technology sales, brand marketing, and procurement spanning the UK and Nigeria. Currently a Product Advisor at Microsoft UK, where he leads needs-led demonstrations of Microsoft devices and cloud services and guides customers through digital adoption. Earlier roles at Samsung Electronics UK and Russell & Bromley sharpened his ability to translate complex products into clear, customer-led value — directly relevant to taking ZettaBrain to enterprise teams.
At Brandlife Nigeria he planned and executed go-to-market campaigns for HP, Intel, and Microsoft across in-store and digital channels. As Procurement Manager at DesignHQ he ran end-to-end vendor relationships and negotiated cost savings of up to 10% on supplier contracts. Holds an MSc in International Business from the University of Chester and a BSc in Business Administration from Redeemer's University.
ZettaBrain is recognized by leading technology startup programs, giving us access to world-class infrastructure, expertise, and go-to-market support.
Install ZettaBrain on your own server and start querying your documents today, or reach out and we'll walk you through it.