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Zylon AI

Zylon is a secure AI platform that runs directly on your company's systems, not the internet. It gives you all the power of AI tools like ChatGPT but ensures your sensitive data stays private and fully under your control, ideal for regulated industries.

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About Zylon AI

Who It's For

Zylon helps companies with sensitive data or strict rules. It gives teams AI power while keeping all information private and secure inside their own systems. This means you avoid sending confidential data to public AI tools.

What You Get

You get a complete AI workspace and strong tools running on your company's computers. Your data stays 100% secure and on-site. You also get unlimited AI use with clear, fixed costs, not per-question fees. Installation is fast, usually taking only a few hours.

How It Works

Zylon installs into your company's private cloud or data center. It uses AI models stored locally, so your data never leaves your network. Connect your data or upload files. Then, ask questions to get accurate answers from your private content. It's easy to use.

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Give your AI a memory

Build one knowledge base all your AI tools draw from, kept current with your review.

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Features & Capabilities

🔒 Data Privacy & Security

Air-Gapped Deployment

Ensures complete data sovereignty by running entirely on-premises, preventing data from leaving your organization.

On-Premise / VPC Execution

Operates within your infrastructure (VPC, data center, or air-gapped) to keep all data private and secure.

Enterprise-Grade Privacy

Designed with high security standards for handling sensitive and regulated information.

🚀 Deployment & Cost Efficiency

Rapid Deployment

Enables the entire product to be set up and ready for use within hours, not months.

Cost-Effective Pricing

Offers unlimited and unrestricted AI usage without pay-per-token or hidden costs.

Self-Contained AI Stack

Provides full control over the AI stack, allowing optimization for quality, performance, and customization.

💡 Core AI Functionality

Private AI Workspace

Offers a ready-to-use AI workspace loaded with advanced features for secure operations.

Curated On-Premise LLMs

Leverages Large Language Models served from within your infrastructure, ensuring data privacy.

Data Source Connectivity

Allows connection to standard data sources, file uploads, and new content creation, with all data remaining within your system.

Robust API

Provides a powerful API for integrating private AI capabilities into existing applications and workflows.

Use Cases

Secure Internal Knowledge Base Querying

Organizations with extensive internal documentation often struggle to enable employees to find critical information quickly without compromising data privacy. Zylon provides a secure, on-premise AI workspace where employees can query their private documents and data sources, receiving instant, context-aware answers while ensuring all sensitive information remains within the organization's control.

Financial Services, Healthcare, Government, LegalFor: Knowledge Workers, Legal Teams, R&D Teams, Operations Teams

AI-Driven Regulatory Compliance & Risk Analysis

Companies in heavily regulated sectors need to analyze complex regulatory documents, internal policies, and risk reports efficiently without compromising data integrity or violating compliance mandates. Zylon offers a secure, on-premise AI solution that processes sensitive regulatory and legal data within the company's firewall, allowing compliance teams to conduct rapid analysis, identify risks, and ensure adherence to standards with complete data privacy.

Financial Services, Healthcare, Government, PharmaceuticalsFor: Compliance Officers, Legal Teams, Risk Management Teams, Internal Audit

Building Custom Private AI Applications

Developers within data-sensitive enterprises often face limitations when trying to integrate AI into custom applications, as public AI services can't handle proprietary data securely. Zylon provides a powerful, on-premise AI platform with a robust API, allowing development teams to leverage internal data sources to build, test, and deploy bespoke AI applications, all while ensuring 100% data privacy and full control over the AI stack.

Technology, B2B SaaS, Enterprise IT, Financial ServicesFor: Software Developers, Data Scientists, AI Engineers, IT Teams

Frequently asked questions

Zylon is a secure, on-premise AI platform designed as a private alternative to public AI tools like ChatGPT. It empowers teams with AI capabilities while maintaining complete control over their data. The platform combines a ready-to-use AI workspace with advanced features and robust APIs, making it ideal for organizations handling sensitive information.

No formal training is required. Zylon is designed to be intuitive—if you can use ChatGPT, you can use Zylon. The interface is conversational and user-friendly.

To get started with Zylon, you should first create your first project (starting with something simple like "Personal Research"), then upload a few documents or connect to a SharePoint folder you use regularly, try asking a question about the documents you uploaded, and finally review the response and citations to understand how Zylon works.

Yes, Zylon offers a Sandbox environment and can help you set up a pilot project to test the solution for your specific use case.

Zylon runs entirely on-premise, keeping data private within your infrastructure. It uses curated Large Language Models served from within your system, ensuring data is never sent over the internet for leaks or training purposes. Unlike cloud services that charge per token, Zylon provides unlimited AI interactions with fixed, predictable costs.

PrivateGPT provides an API with building blocks for developers to create private AI applications. Zylon, built on top of PrivateGPT, offers an end-to-end product that complies with enterprise-grade security standards for organizations wanting to incorporate AI in a fully private way.

Zylon lets you connect to standard data sources, upload files, and create new content within the tool. Any data connected to Zylon remains fully in your system.

For better results, follow these guidelines: be specific, for example, instead of "tell me about customers," try "what are the top 3 customer complaints from last quarter?". You should also include context, such as "According to our sales policies, what's the discount approval process for enterprise deals?", and reference timeframes, like "Show me budget changes since January 2024". The AI works best when you give it clear, detailed questions.

Always check the citations. Every response includes numbered citations that link directly to the source documents. Click on these to verify the information and check the full context if something seems wrong.

Common causes for Zylon not finding information include the document still processing (requiring a few minutes of waiting), the document not being connected to your current project, the need to rephrase your question with different keywords, or ensuring the document is text-searchable and not a scanned image.

Tags

on-premise deploymentsensitive data protectionvpc deploymentdata sovereigntyenterprise privacy

Specifications

Deployment
Self-hosted
API
Cloud
Browser
Target Audience
Business
Enterprise
Complexity
Expert

Integrations

AWS
Azure
GCP

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