Onyx

Onyx is an enterprise AI platform that unifies company-wide knowledge from documents and applications. It allows employees to get instant, trustworthy answers through a conversational UI that respects existing user permissions and data access rights.

Specialization:

• Enterprise Search
• RAG
• AI Copilots
• Knowledge Retrieval
• LLM Integration
• Document Processing
• Conversational AI

Company Type:

Startup

Total Financing Amount:

$10.5M

Founded Date:

March 2025

Description

Onyx operates as an open-source enterprise search engine that ingests documents and data from 40+ workplace applications through real-time connectors, then surfaces answers via natural language queries processed by LLM backends including OpenAI, Anthropic, or self-hosted models. The platform maintains document-level permissions inherited from source systems like Slack, Notion, and Google Workspace, while exposing search capabilities through web interfaces, Slack bots, and REST APIs that developers integrate into custom workflows. Engineering, sales, and support teams deploy Onyx in isolated cloud or on-premises environments, where it creates specialized AI assistants trained on organizational knowledge bases and delivers contextual responses without data leaving the corporate infrastructure.

Customers

Ramp

What Problem Does Onyx Solve?

Employees waste nearly 10 hours per week hunting for information scattered across different company apps, documents, and systems. This constant searching slows down decision-making, delays project timelines, and frustrates teams who can't quickly access the knowledge they need to do their jobs. Onyx connects to all your enterprise applications and lets employees search across everything at once using AI, while automatically respecting existing access permissions.

Pros

• Open-Source Enterprise Search: Onyx delivers AI-powered search and assistant capabilities leveraging open-source foundations to surface knowledge across docs, apps, and communications.
• Plug-and-Play Connectors: Supports 40+ ready-made integrations to unify enterprise content sources and accelerate deployment.
• Customizable AI Assistants: Enables builders to design AI agents tailored to organizational knowledge bases and workflows using open APIs.

Cons

• Connector Maintenance Overhead: Sustaining live integrations requires regular updates and monitoring to ensure data availability and accuracy.
• Limited Enterprise UI Options: Lacks polished end-user interfaces out of the box, necessitating design or dev effort to customize UX.
• Support and SLA Limitations: As an emerging open-source platform, formal enterprise support and formal service-level guarantees may be constrained.

Last updated: September 14, 2025