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THE ENTERPRISE FEATURE STORE FOR MACHINE LEARNING

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

UTM Campaign

UTM Source

UTM Medium

UTM Content

UTM Term







TRUSTED BY LEADING ML TEAMS, INCLUDING:






GREAT MODELS NEED GREAT FEATURES.




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.

DEVELOP HIGH-QUALITY FEATURES
USING REAL-TIME AND BATCH DATA


DEPLOY AND SERVE FEATURES IN PRODUCTION INSTANTLY

BUILD ACCURATE TRAINING DATA SETS
USING TIME TRAVEL

MONITOR PRODUCTION FEATURES
TO DETECT BREAKAGES AND DRIFT


SHARE, DISCOVER, AND RE-USE FEATURES
ACROSS YOUR ORGANIZATION

BUILT-IN ENTERPRISE-GRADE SERVICE LEVELS, GOVERNANCE, AND SECURITY

INTEGRATES WITH COMMON DATA INFRASTRUCTURE AND ML PLATFORMS
INCLUDING AMAZON SAGEMAKER, DATABRICKS, AND KUBEFLOW


GET YOUR MODELS TO PRODUCTION

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