What is Xyne?
Leverage an AI-powered engine designed to streamline information discovery within your organization. It functions as a central hub, connecting to various workplace applications to retrieve relevant files, data, and contact information efficiently. This system operates securely by strictly adhering to pre-existing user permissions across all integrated platforms, ensuring users can only access information they are authorized to view.
Built with a privacy-first approach, the platform utilizes Agentic Retrieval-Augmented Generation (RAG) to provide contextually accurate answers grounded in your organization's data, without training on that data or user prompts. It offers flexibility through model choice, allowing selection of the most suitable AI model, and versatile deployment options including laptop, on-premises, or cloud setups. By employing a semantic graph, it understands the relationships between knowledge, people, and projects, moving beyond simple keyword matching for deeper contextual understanding.
Features
- AI-first Search & Answer Engine: Retrieves information, files, and people across connected apps.
- Agentic RAG: Provides LLM responses grounded in context from user applications.
- Permissions-Aware Security: Enforces granular app permissions, ensuring users only see accessible data.
- Model Choice: Allows users to select the AI model that suits their requirements.
- Flexible Deployment: Supports deployment on laptops, on-premises servers, or in the cloud.
- Semantic Graph: Maps relationships between knowledge, people, communication, and projects across apps.
- Ecosystem Integration: Connects with application suites (currently Google Workspace, upcoming Slack & Atlassian).
- Open Source: Available under the Apache 2.0 license.
- Privacy-First Architecture: No training on user data or prompts, no telemetry on usage.
Use Cases
- Finding specific documents or files across multiple platforms.
- Answering questions based on internal knowledge bases.
- Getting information about project schedules or timelines.
- Identifying relevant personnel or team leads.
- Summarizing information from various internal sources.
- Accessing operational details like consultant rates.
- Integrating and searching across entire application ecosystems like Google Workspace.
- Building internal AI applications using a secure RAG foundation.
FAQs
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How does Xyne ensure data privacy and security?
Xyne enforces existing application permissions, meaning users only see data they already have access to. It does not train on user data or prompts and collects no usage telemetry. -
What AI models can I use with Xyne?
Xyne offers model choice, allowing you to select the AI model that best fits your specific requirements. -
Where can Xyne be deployed?
Xyne offers flexible deployment options, including on a laptop, on-premises servers, or in the cloud. -
What applications does Xyne integrate with?
Xyne currently offers complete integration with Google Workspace (Drive, Contacts, Calendar, Gmail including attachments), with Slack and the Atlassian suite planned next. -
Is Xyne open source?
Yes, Xyne is an open-source platform available under the Apache 2.0 license.
