Predibase, a San Francisco, CA-based startup developing a low-code platform for building, training, and deploying AI systems, emerged from stealth with $16.25 million in Series A funding.
The round was led by Greylock, with participation from the Factory and angel investors.
The Series A will be used to take Predibase’s beta product to a wider market. It’ll also be put toward growing Predibase’s team of machine learning engineers and building out a go-to-market organization, expanding the company’s 21-person team.
Round: Series A
Funding Month: May 2022
Lead Investors: Greylock
Additional Investors: Factory and angel investors
Company Website: https://predibase.com/
Software Category: Enterprise Declarative Machine Learning platform
About the Company: Predibase is the first enterprise declarative machine learning platform. Predibase is built on top of open-source technologies including Horovod, a framework for AI model training, and Ludwig, a suite of machine learning tools. Predibase is designed to enable developers to define AI pipelines in just a few lines of code while scaling up to petabytes of data across thousands of machines. Predibase integrates with data sources including Snowflake, Google BigQuery, and Amazon S3 for model training.