Rubrik Scoops Up Predibase in Move to Turbocharge Agentic AI Adoption
Together, Predibase and Rubrik will deliver radical simplicity in models and data, resulting in improved accuracy, lower costs, better performance, and automated data governance, according to the companies.
“What the Predibase team has achieved with model training and serving infrastructure in the last few years is nothing short of remarkable. AI engineers and developers across the industry trust their expertise,” said Bipul Sinha, CEO, chairman and co-founder of Rubrik. “Together, Rubrik and Predibase will drive agentic AI adoption around the world and unlock immediate value for our customers.”
Venture firms Greylock and Felicis led funding of Predibase to date; terms of the transaction were not disclosed. Completion of the transaction is subject to customary closing conditions.
Founded by AI technologists from Google and Uber, Predibase offers a fast way to fine-tune open source models into highly accurate, production-ready solutions. The Predibase platform combines a proprietary post-training stack for customizing models with a highly optimized inference engine. The platform includes a turbo serving engine, along with LoRA eXchange, an open source system for deploying personalized models at scale.
“We created Predibase to lift the barriers between an idea and production-ready AI. Today, many organizations still face challenges moving beyond the proof-of-concept stage,” said Devvret Rishi, co-founder and CEO of Predibase. “Predibase removes the hardest part of that journey and accelerates production-ready AI by giving teams an easy-to-use platform to tune models to their own data and run on an optimized inference stack. This unlocks more accurate results and faster models, all at lower cost.”
Integrating Predibase will expand the work to secure and deploy GenAI applications that Rubrik is doing today with Amazon Bedrock, Azure OpenAI, and Google Agentspace, Rubrik said.
The combination of Predibase and Rubrik will bring optimized, fine-tuned, cost-effective models with governed data to help customers securely deploy agentic AI.
For more information about this news, visit www.rubrik.com.