Tecton

Tecton, founded in 2018 by the team which built the Michelangelo ML platform at Uber, is building a feature platform for production ML applications. Tecton’s platform expands on features stores, incorporating data pipelines and infrastructure traditionally built by data engineers and making features self-serve for data scientists. Tecton emphasizes collaboration and acts like a central repository for valuable business signals, empowering data teams to discover and re-use existing features, govern access, and versioning. By integrating with existing data infrastructure such as Snowflake, Databricks, and AWS, Tecton aims to provide a best-of-breed solution, rather than requiring users to move to an end-to-end ML platform like AWS Sagemaker