Airbyte

Context layer for production-grade AI agents

Y CombinatorWinter 2020ActiveB2BArtificial IntelligenceDeveloper ToolsOpen SourceData Engineering

What they do

Problem

AI agents and data teams lack unified, reliable context across disparate business systems, leading to inefficient tool calls and high token usage.

Solution

Airbyte provides a context store and open data movement platform that unifies entities across SaaS sources and exposes them via UI, MCP, and SDK for production-grade AI agents and analytics.

Who it's for

Data teams and developers at organizations integrating data from multiple systems and building production AI agents.

Founders

Michel Tricot

Co-Founder & CEO

Co-founder & CEO of Airbyte. I’ve been working in data since 2007. In 2011 I join LiveRamp where I was Head of Integrations and Director of Engineering. My team built and scaled over 1,000 data ingestion and distribution connectors to replicate hundreds of TB of data every day. After LiveRamp’s acquisition and later IPO (NYSE:RAMP), I joined rideOS as Director of Engineering, again deep in data. There, I realized that all companies are trying to solve the same problem. Airbyte was born.

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Jean Lafleur

Co-Founder & COO

- Co-founder of Airbyte, the leading open-source data integration platform. - Serial entrepreneur (4 startups incl. 2 acquired, 1 failure, 1 ongoing), - 10+ years been developing strong teams building successful products - Big believer in people, data and telling a story. - Love building new products with the right GTM and messaging. But love even more building and growing teams that do so. - Write for SDTimes, TheNewStack, Linux.com, DevOps.com, Dzone, Product Coalition...

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