Tecton

Startup Tecton has been attracting a lot of attention with its enterprise feature store technology for machine learning. The company, which exited stealth in April 2020, was founded by the developers who created Uber’s Michelangelo machine learning platform.

Feature stores are a critical component of the machine learning stack. They are used to build and serve data to production machine learning systems – what the company says is the hardest part of operationalizing machine learning.

Delivered as a fully managed cloud service, the Tecton feature store manages the complete lifecycle of machine learning features, allowing ML teams to build features that combine batch, streaming and real-time data.

Tecton says its system orchestrates feature transformations to continuously transform new data into fresh feature values. Features can be served instantly for training and online inference with monitoring of operational metrics. And ML teams can use Tecton to search and discover existing features to maximize re-use across models.