Zylon
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About
Zylon is an enterprise-grade AI platform designed specifically for organizations in highly regulated sectors such as finance, healthcare, and government. Unlike cloud-based AI solutions that require data to leave the internal network, Zylon operates entirely on-premise or within a private cloud VPC. It serves as an all-in-one ecosystem that includes a workspace for end-users, an API gateway for developers, and a core infrastructure layer for managing large language models (LLMs) and vector databases. This setup ensures that sensitive corporate data remains behind the firewall, satisfying strict compliance standards like HIPAA, GDPR, and SOC 2. The platform is composed of three primary components: Zylon AI Core, API Gateway, and Workspace. The AI Core acts as the foundation, handling GPU orchestration and local LLM execution in air-gapped environments without any internet connection. The API Gateway provides OpenAI-compatible endpoints, allowing teams to integrate AI into existing workflows via tools like n8n or LangChain. Finally, the Workspace serves as the front-end interface where employees can interact with an AI assistant, collaborate on documents, and search through a private knowledge base connected to internal data sources like SharePoint, Salesforce, and S3. Zylon is best suited for security-conscious roles within large enterprises, including InfoSec officers, compliance managers, and IT directors who need to provide AI capabilities to their workforce without the risks associated with shadow AI. It addresses the specific needs of financial services for secure banking, engineering firms managing proprietary blueprints, and public-sector organizations handling citizen data. By providing a one-click n8n deployment for automation, it enables technical teams to build complex, multi-step AI agents that process data locally and securely. What distinguishes Zylon from building an in-house solution or using standard enterprise cloud AI is its speed of deployment and its unique origin. Built by the creators of PrivateGPT, an open-source project used by organizations like J.P. Morgan and Google, Zylon offers a production-ready environment in roughly one week, compared to the 12-18 months typically required for custom internal builds. Furthermore, its pricing model is independent of token usage, offering a predictable fixed cost that eliminates the financial volatility and privacy concerns often associated with high-volume AI usage in the public cloud.
Pros & Cons
Supports fully air-gapped deployments with no internet connection required for operation.
Offers a predictable fixed-cost model that is independent of the number of tokens processed.
Reduces deployment time to one week compared to the typical eighteen months for in-house builds.
Ensures high compliance standards including SOC 2, HIPAA, GDPR, ISO 27001, and the EU AI Act.
Built on the foundation of PrivateGPT, an open-source project with over fifty thousand stars.
Requires organization-provided infrastructure like on-premise servers or a private cloud VPC.
Requires technical expertise for initial setup and GPU orchestration within the environment.
Does not offer a public free tier or self-service signup for individual users.
Use Cases
InfoSec officers can mitigate shadow AI risks by providing a governed, on-premise alternative to public LLMs for their employees.
Financial services teams can search through sensitive internal documents and banking cores securely without moving data to a public cloud.
DevOps engineers can deploy multi-step AI automation agents using the integrated n8n environment while keeping data air-gapped.
Healthcare providers can use the platform for patient data analysis while maintaining strict HIPAA compliance within their own infrastructure.
Engineering firms can securely manage and query proprietary blueprints and technical documentation using the private knowledge base.
Platform
Task
Features
• openai-compatible api
• collaborative ai workspace
• vector database management
• air-gapped deployment
• enterprise data connectors
• one-click n8n setup
• local llm orchestration
• ai core infrastructure
FAQs
Can Zylon operate without an internet connection?
Yes, Zylon is designed for air-gapped environments. The platform includes self-contained AI infrastructure, local LLMs, and vector databases that do not require external cloud dependencies for operation.
How long does it take to deploy Zylon?
While custom in-house builds can take over a year, Zylon is designed for rapid implementation. Most organizations can move from setup to production within approximately one week.
What data sources can Zylon connect to?
The platform features connectors for a variety of systems including SharePoint, Confluence, PostgreSQL, Salesforce, S3, and standard file systems. It can also integrate with banking cores like Fiserv and Symitar.
Is Zylon's API compatible with existing AI tools?
Yes, the Zylon API Gateway follows OpenAI and Anthropic standards. This allows for seamless integration with development frameworks like LangChain and automation tools like n8n.
How is Zylon priced compared to other AI services?
Unlike many cloud providers that charge per token, Zylon offers a predictable fixed-cost model. This makes costs independent of usage volume, providing better budget stability for large enterprises.
Pricing Plans
Enterprise
Unknown Price• Air-gapped deployment
• Unlimited token usage
• n8n integration
• SOC 2 & HIPAA compliance
• On-premise AI Core
• API Gateway
• Workspace interface
• Knowledge base access
• Data connectors
• GPU orchestration
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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