Tecton is a data platform designed to make machine learning operational and accessible to every organization. It aims to bring best practices of machine learning development to teams worldwide, enabling them to build with the speed, trust, and power of industry-leading applied ML organizations. Tecton expands on the feature store architecture developed at Uber, managing the end-to-end lifecycle of features for ML systems that run in production. The platform helps teams develop standardized features, deploy and serve feature data safely, curate an organization-wide repository of vetted features, monitor feature data, and accomplish these tasks with best practices, reproducibility, lineage, logging, and trust needed for business-critical functions built on top of the system. Tecton has raised $25MM in funding and is hiring an outstanding engineering team to further develop its core technology and bring it to market.