Predibase, a San Francisco, CA-based provider of a commercially available low-code declarative ML platform for developers, raised an additional $12.2 million in Series A funding led by Felicis Ventures, bringing the round up to $25.2 million and total funding for the company to date to $28.5 million.
This infusion of capital will enable Predibase to further enhance its platform, develop new features, and expand its market presence.
Predibase has announced the general availability of its platform, along with new features for large language models and the introduction of free trial editions.
The platform is already in production with Fortune 500 organizations and high-growth startups such as Paradigm and Koble.ai. By leveraging the proven Predibase platform, developers and data scientists can quickly and easily build, iterate, and deploy sophisticated AI applications without the need to learn complex ML tools or assemble low-level ML frameworks.
“Every enterprise wants to gain a competitive edge by embedding ML into their internal and customer-facing applications. Unfortunately, today’s ML tools are too complex for engineering teams, and data science resources are stretched too thin, leaving the developers working on these projects holding the bag,” said Piero Molino, co-founder, and CEO of Predibase. “Our mission is to make it dead simple for novices and experts alike to build ML applications and get them into production with just a few lines of code. And now we’re extending those capabilities to support building and deploying custom LLMs.”
Company: Predibase, Inc.
Raised: $12.2M
Round: Series A
Funding Month: May 2023
Lead Investors: Felicis Ventures
Additional Investors:
Company Website: https://predibase.com/
Software Category: Machine Learning Platform
About the Company: Founded in 2021 by Piero Molino, Travis Addair, and Devvret Rishi, Predibase operates as an AI development platform. It offers a high-performance, low-code declarative machine learning platform for model building, model training, and model deploying artificial intelligence systems for data scientists and engineers. The company’s machine learning platform allows users to connect their structured and unstructured data stored anywhere on the cloud data stack. Predibase’s mission is to make state-of-the-art ML easy for every organization. Like Infrastructure as Code simplified IT, Predibase’s ML platform allows users to focus on the “what” of their ML models rather than the “how,” breaking free of the usual limits in low-code systems and bringing down the time-to-value of ML projects from years to days.
Source: https://www.businesswire.com/news/home/20230531005393/en/Predibase-Empowers-Any-Engineer-to-Build-Their-Own-GPT-With-Support-for-Large-Language-Models-Expands-Series-A-Funding-to-28M