The Enterprise Feature Store for Machine Learning

Build a library of great features. Serve them in production. Do it at scale.

Build great features from batch, streaming, and real-time data

Models can only be as good as the features they consume, and features can only be as good as the raw data they consume. Whether precomputed in batch, or generated in real-time, derive the highest quality signal from the company’s best data.

Share and re-use features to build better models faster

Features shouldn’t live in artificial silos. They should be discoverable and available for use by data scientists and data engineers across the company. Curate features in a centralized feature store. No more silos, no more duplication.

Deploy and serve features in production with confidence

Features are business-critical building blocks of any ML application. They should be treated with the same automation and standards as production code. Deploy features quickly and serve them at scale with enterprise SLAs.

Introducing the first enterprise-ready feature store for machine learning.

Built by the creators of Uber Michelangelo, Tecton provides the first enterprise-ready feature store that manages the complete lifecycle of features for data scientists and data engineers — from engineering new features to serving them online for real-time predictions.