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Airweave

Airweave provides a context retrieval layer that sits between AI systems and enterprise data sources. It connects to apps and databases, syncing data in real time to enable grounded and accurate answers for AI agents and RAG pipelines. This shared infrastructure makes information retrieval reliable and reusable across multiple AI applications.

Traction 8/10
San Francisco, United States · HQ
Founded 202531K+ followers
Updated 7 months ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

3 founders

Lennert Jansen

building Airweave (YC X25)

Rauf Akdemir

building airweave YC X25

Daan Manneke

Founding Engineer

Product

Problem

Developing intelligent agents that require access to diverse data sources across various applications and workspaces is complex and time-consuming. This often necessitates custom integrations and data synchronization mechanisms, hindering the speed and efficiency of agent development.

Solution

Airweave provides an open-source platform that transforms disparate data sources into searchable knowledge bases accessible via REST APIs or MCP servers. The platform facilitates the integration of applications, databases, and documents, enabling AI agents to access and semantically search across this unified data layer. This approach streamlines the development lifecycle for intelligent agents by abstracting away the complexities of data ingestion and retrieval. Developers can leverage Airweave to equip their agents with comprehensive contextual understanding, enhancing their operational capabilities.

Target Audience

The primary users are developers building AI agents who need to integrate and access data from multiple applications and workspaces. This includes SaaS builders and teams requiring efficient data orchestration for their intelligent systems.

Features

  • **Unified Agentic Search Layer:** Enables agents to perform unified semantic searches across all connected workspace data.
  • **100+ Connectors:** Offers a broad range of pre-built connectors for integrating diverse data sources.
  • **Automated Sync:** Supports scheduled or on-demand data synchronization to maintain up-to-date knowledge bases.
  • **No-Code Integration:** Allows for easy data source integration with minimal to no coding required.
  • **White-Labeled Multi-Tenant Support:** Facilitates secure data synchronization across multiple tenants using OAuth2, suitable for SaaS applications.
  • **Bring Your Own Data Stores:** Provides the flexibility for users to host their own data, ensuring data control.
  • **Scalable Deployment Options:** Supports deployment via Docker Compose, API for cloud environments, and Kubernetes for enterprise needs.
  • **REST API and MCP Server Access:** Exposes integrated data through standard APIs for agent consumption.
This profile is AI-generated and may contain inaccuracies.