Announcing Airbyte Embedded

Introducing Airbyte Embedded, a way to add managed data movement and connector-powered integrations directly into your product.

DATA

April 2, 2025

3 min read

Teo Gonzalez

Summarize with AI:

Last fall, we formed a tiger team to answer a pressing question: What does data movement look like for the AI era?

This initiative gave Airbyte a front-row seat to everything from traditional machine learning frameworks to the latest multi-agent systems.

Then we decided to take the next leap — let’s actually build entire platforms for AI.

We began collaborating with leading startups and Fortune 500 companies to implement solutions powered by context — context that lives inside their own data silos. Through these partnerships, we developed a hyper-clear understanding of what goes into successful, context-aware AI applications (see our outline below).

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By building these platforms from scratch, we discovered the missing piece: how Airbyte can uniquely empower the next generation of AI builders.

Startups and enterprises defining the future of AI have deep domain expertise. They know what makes for effective solutions — and what doesn’t. They want to own the layers of an AI application where they can flex that expertise, like evaluations and embeddings. But AI agents and assistants need another critical component: the data.

These builders not only need access to contextual data, but they need it to be retrievable on their own infrastructure to meet customer compliance requirements. This is where Airbyte comes in — and why our latest product was born.

At Airbyte, making data accessible and usable is at our core. Our connector catalog has grown to over 550, fueled by our community and tools like the Connector Builder. Beyond the product, our team consists of experts in moving data for any use case — whether it’s marketing analytics or enterprise search via a hybrid database. And with our deployment flexibility, you can select the method that best aligns with your security and compliance strategy.

Our customers have driven massive business outcomes by unlocking access to their data. Now, it’s time to bring that same movement directly into their products.

Introducing Airbyte Embedded

Airbyte Embedded is the best way to power context-aware AI applications. It enables our customers — known as Operators — to securely and easily collect their own customers’ source credentials and manage syncs into the Operator’s platform of choice - like Amazon S3, or Snowflake.

With Airbyte Embedded, an Operator’s Contact Support AI agent can deliver not only well-articulated responses, but also answers enriched with real context from sources like Zendesk, Salesforce, and more.

With AI evolving at a breathtaking pace, builders don’t have time to waste getting to market with context-aware solutions. Building — and even more time-consuming, maintaining — data pipelines isn’t a luxury ambitious AI companies can afford. Airbyte Embedded is built on top of the robust Airbyte platform and API, and brings new features for this use-case, like our embedable configuration widget and new sync modes to move data and attachments at once from operational systems.

We’re thrilled to scale Airbyte Embedded with customers as it’s the best way to power context-aware AI applications. Airbyte Embedded works anywhere Airbyte does - in our cloud or within yours. We’re just getting started – onwards.

👉 Learn more at www.airbyte.com/embedded or get in touch with our team.

About the Author

Teo Gonzalez

Teo leads GTM for AI at Airbyte.

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