Tecton, a San Francisco, California-based leading Machine Learning feature platform company, announced that it raised $100 million in Series C funding, bringing Tecton’s total raised to $160 million.
The round was led by Kleiner Perkins, with participation from strategic investors Databricks and Snowflake Ventures, previous investors Andreessen Horowitz and Sequoia Capital, and new investors Bain Capital Ventures and Tiger Global.
Tecton plans to use the money to further deliver on customer value and to scale both engineering and go-to-market teams.
Company: Tecton, Inc.
Round: Series C
Funding Month: July 2022
Lead Investors: Kleiner Perkins, Snowflake and Databricks
Additional Investors: Databricks, Snowflake Ventures, previous investors Andreessen Horowitz and Sequoia Capital, and new investors Bain Capital Ventures and Tiger Global
Company Website: https://www.tecton.ai/
Software Category: Machine Learning
About the Company: Founded in 2019 by Mike Del Balso and Kevin Stumpf, Tecton is a provider of an enterprise-ready feature store to make world-class machine learning accessible to every company. Tecton provides the only cloud-native feature store that manages the complete lifecycle of ML features. It allows ML teams to build features that combine batch, streaming, and real-time data. Tecton’s mission is to make world-class ML accessible to every company. Tecton’s feature platform for ML enables data scientists to turn raw data into production-ready features, the predictive signals that feed ML models. Its goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale.
Source: https://www.tecton.ai/blog/tecton-raises-100m-in-series-c-funding/ https://www.globenewswire.com/en/news-release/2022/07/12/2478423/0/en/Tecton-Reports-Record-Demand-for-Its-Machine-Learning-Feature-Platform-as-It-Raises-100-Million-in-Funding-Led-by-Kleiner-Perkins-With-Participation-from-Strategic-Investors-Databr.html