Predibase, a San Francisco, CA-based provider of a commercially available low-code declarative ML platform for developers, raised additional $12.2M in Series A funding.
The round was led by Felicis. The expansion of the Series A round, led by Felicis, brings the round up to $25.2M and total funding for the company to date to $28.5M.
The company intends to use the funds to expand its go-to-market function and add new capabilities to the platform.
Led by CEO Piero Molino, Predibase provides a ML platform that enables developers and data scientists alike to build, iterate and deploy AI applications without the need to learn how to use complex ML tools or assemble low-level ML frameworks. Teams define what they want to predict using Predibase’s large AI models and the platform does the rest. Novice users can leverage recommended model architectures, while expert users can tune any model parameter.
It is in production with Fortune 500 organizations and high-growth startups like Paradigm and Koble.ai. Since coming out of stealth, over 250 models have been trained on the platform.
FinSMEs
01/06/2023