Enterprise Security

Secure, Private, and Sovereign. Deploy Zedly on Your Infrastructure.

The only self-hosted AI chat for businesses that runs entirely within your VPC or air-gapped environment. Zero data egress guaranteed.

Three Ways to Deploy Llama 3 Locally for Enterprise

Choose the deployment model that matches your security posture and compliance requirements.

Private Cloud (VPC)

Private AI chatbot for internal documents β€’ Secure self-hosted AI for legal firms

Single-tenant deployment into your AWS or Azure environment via PrivateLink. Your data stays within your cloud perimeter with full network isolation and encryption at rest.

On-Premise (Docker)

How to run a private LLM on premises β€’ Self-hosted RAG pipeline for enterprise

We provide Docker containers and Helm charts. You run it on your bare metal or existing Kubernetes cluster. Full control over compute, storage, and network configuration.

Air-Gapped (Offline)

Offline AI chat for sensitive data β€’ On-premise AI with no internet access

Full offline delivery via physical media or secure download. Ideal for SCIFs, Defense contractors, and highly regulated environments requiring air-gapped AI document search.

Zedly On-Premise Architecture Diagram - Local LLM, Vector Database, and Document Processing Stack

Local Vector Database for AI Document Chat

Our local AI solution for confidential documents uses a completely self-contained stack. No external API calls, no telemetry, no data leaving your network.

The air-gapped embeddings search system runs locally using Voyage AI models for semantic search, combined with your choice of Llama 3 or Mistral for inference. All components are containerized and can run on a single server or distributed cluster.

  • Local Inference: Llama 3 (8B/70B) or Mistral models run entirely on your GPUs
  • Vector Storage: Self-hosted Qdrant or Milvus for private contract analysis AI offline
  • Embeddings: Local Voyage or E5 models for semantic document indexing
  • Document Processing: Apache Tika + Tesseract OCR for PDF/DOCX/images

Hardware Requirements

Minimum specifications for running HIPAA compliant self-hosted AI in production.

Scale Model Size Minimum GPU RAM Storage
Standard Llama 3 8B NVIDIA A10G (24GB) 64GB 1TB NVMe
Analyst Llama 3 70B NVIDIA A100 (80GB) or 2Γ— A6000 128GB 2TB NVMe

Compatible with Ubuntu 22.04 LTS and Red Hat Enterprise Linux 8/9.

Industry Use Cases

Trusted by organizations that cannot compromise on data sovereignty.

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Legal Discovery

Private contract review AI on premise

Secure e-discovery and contract analysis without cloud exposure. Index privileged documents and run searches that never leave your firm's network.

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Healthcare & Life Sciences

Private AI for medical record summaries

Full HIPAA compliance with zero data retention. Summarize clinical notes, analyze patient records, and support research workflowsβ€”all on-premise.

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Manufacturing & Defense

On premise AI for manufacturing compliance

Analyze factory logs, maintenance records, and compliance documentation locally. ITAR-compatible deployments for defense contractors.

Ready to Go Offline?

Get a custom deployment plan tailored to your infrastructure and compliance requirements.

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SOC 2 Ready Architecture
ITAR Compatible
HIPAA Ready