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Great AI starts
with Great Data.

Meet the modern Feature Engineering & Management platform
or get started with the
Python SDKGithub
Great AI starts with Great Data

Feature engineering and management — radically simplified

Create state-of-the-art features, not data pipelines

Create features with just a few lines of code. Leave the plumbing and pipelining to FeatureByte. We take care of orchestrating the data ops - whether it’s time-window aggs or backfilling, so you can deliver more value from data.
Create state-of-the-art features, not data pipelines

Improve model accuracy through data

It’s no secret that great feature engineering does wonders for model performance. Use the intuitive feature declaration framework to transform creative ideas into training data in minutes. Ditch the limitations of ad-hoc pipelines for features with much more scale, complexity and freshness.
Improve model accuracy through data

Streamline machine learning data pipelines

Get more value from AI. Faster. Deploy and serve features in minutes, instead of weeks or months. Declare features in Python and automatically generate optimized SQL or Spark data pipelines — all using tools you love like Jupyter Notebooks.
Streamline machine learning data pipelines

Scale your AI projects with FeatureByte Enterprise

Unlock true AI scale in your enterprise. An intuitive GUI makes collaboration and management seamless. Manage feature sprawl with a self-organizing catalog. Monitor pipeline health and costs centrally. Stay in control with enterprise-grade role-based access and approval workflows.
Scale your AI projects with FeatureByte Enterprise
Join our ML feature engineering community

Join our ML feature engineering community Coming Soon!

We’re building a community of data scientists and data engineers sharing their feature engineering expertise. Do you get excited about everything feature-related? You’ve found your people.

Take FeatureByte
Open Source
for a spin.

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