Amazon recently introduced SageMaker Feature Store, recognizing that one of the largest challenges facing data science teams is building and serving high-quality machine learning features both in training and in production. The team at Tecton could not agree more with … Read More

Today marks a big milestone for Tecton. We’re excited to announce that the Tecton feature store is now in General Availability, and that we have raised $35 Million in Series B funding from our existing lead investors, Andreessen Horowitz and … Read More

Today, we’re excited to announce that Tecton is becoming a core contributor to the Feast open source project, and that Willem Pienaar, creator of Feast, is joining the Tecton team. … Read More

This post describes the key components of a modern feature store and how the sum of these parts act as a force multiplier on organizations, by reducing duplication of data engineering efforts, speeding up the machine learning lifecycle, and unlocking a new kind of collaboration across data science teams. … Read More

In Back to the Future II, Marty McFly gets an idea to purchase a sports almanac in the future and bring it back to the past to use for betting. Doc Brown warns him not to profit from time travel … Read More

Getting machine learning (ML) into production is hard. In fact, it’s possibly an order of magnitude harder than getting traditional software deployed. As a result, most ML projects never see the light of production-day and many organizations simply give up … Read More

Today, Jeremy Hermann, Kevin Stumpf and I are excited to introduce Tecton, the company we founded just over a year ago. Tecton’s mission is to make it easy and safe to put machine learning into production to power smart product … Read More