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.
Company: Predibase
Raised: $16.25M
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.
Source: https://techcrunch.com/2022/05/10/predibase-exits-stealth-with-a-low-code-platform-for-building-ai-models/