San Francisco-based startup Tecton.AI formally launched its data platform for machine learning out of stealth on the heels of a $20 million Series A funding round led by Andreessen Horowitz and Sequoia on Tuesday.
Founded by the team that created the Uber Michelangelo platform, Tecton.AI extends the concept of the feature store to manage the complete feature lifecycle. The company’s AI software integrates with common data infrastructure and ML platforms, including AWS SageMaker, Data Brick and Kubeflow, in order to develop, deploy and serve features by using real-time data.
“Data problems all too often cause last-mile delivery issues for machine learning projects,” Mike Del Balso, Tecton.AI co-founder and CEO, said in a statement. “We created Tecton to empower data science teams to take control of their data and focus on building models, not pipelines.”
According to the company, Tecton.AI is the industry’s first data platform that’s been designed specifically to support the requirements of operational machine learning. The company aims to empower data scientists to build great features and produce them quickly.
“What Tecton is really about is helping organizations make it really easy to build production-level machine learning systems, and put them in production and operate them correctly. And we focus on the data layer of machine learning,” Del Balso told TechCrunch.
The company is headquartered in San Francisco with additional offices in New York City.
