Tecton, a San Francisco, CA-based ML feature platform company, raised $100M in Series C funding.
The round, which brought total funding raised to $160m, was led by new investor 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.
The company plans to use the money to further deliver on customer value and to scale both engineering and go-to-market teams.
Led by Mike Del Balso, co-founder and CEO, Tecton provides a feature platform for ML that enables data scientists to turn raw data into production-ready features, the predictive signals that feed ML models. The fully-managed ML feature platform orchestrates the complete lifecycle of features, from transformation to online serving, with enterprise-grade SLAs. The system enables ML engineers and data scientists to automate the transformation of raw data, generate training data sets and serve features for online inference at scale.
Customers span Fortune 500 across all major verticals as well as tech-forward innovators like Convoy, HelloFresh, Plaid and Tide.
FinSMEs
18/07/2022