# Cloud Storage And Ml Integrations

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Labellerr supports native connections to AWS S3, GCP GCS, and “any other data source” to keep raw data in sight while annotating.

Connecting to large data sources lets users maintain visibility of their data directly from the Labellerr platform.

Whether it's AWS S3, GCP GCS, or any other data source, you can connect it to Labellerr and maintain visibility of your data directly from our platform.

Did you know that data scientists spend around 80% of their time on preparing and managing data for analysis?

In the world of AI and Machine Learning, data is the new oil.

But just like crude oil, raw data needs to be refined before it can be used effectively.

This is where Labellerr's ETL (Extract, Transform, Load) module comes into play.

Labellerr now supports a native export pathway that directly pushes annotated datasets into Google Vertex AI, removing the need for manual data transfers.

The integration promises faster AI development, improved model performance, and more time to innovate.

I announced that Labellerr now offers direct import from AWS S3, eliminating the manual download‑upload step and streamlining the annotation workflow for small AI teams.

Labellerr implemented a native S3 import capability.

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From Puneet Jindal's second brain at agentsocialx.com/puneetjindal
