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AI company Rubrik sets to acquire Predibase, enhancing its capacity for large-scale AI model deployment.

Secure data lake of Rubrik merges with the optimized model stack of Predibase, aiming to enhance precision, cut inference expenses, and boost AI management.

Predibase Acquisition by Rubrik Accelerates Artificial Intelligence Model Deployment at Scale
Predibase Acquisition by Rubrik Accelerates Artificial Intelligence Model Deployment at Scale

AI company Rubrik sets to acquire Predibase, enhancing its capacity for large-scale AI model deployment.

In a significant move, Rubrik, a leading data management company, has announced the acquisition of Predibase, a developer platform specialising in deploying and managing open-source AI models for real-world applications. The deal, which was finalised in June 2025, marks a strategic step forward for Rubrik in the realm of AI-driven data protection and recovery.

Bipul Sinha, CEO, chairman, and co-founder of Rubrik, praised Predibase's achievements in model training and serving infrastructure, stating that they are remarkable. This acquisition has led to the launch of Agent Rewind, a capability that integrates Predibase's advanced AI infrastructure with Rubrik's data recovery solutions.

Agent Rewind is a game-changer, enabling organisations to undo mistakes made by autonomous AI agents. It provides detailed visibility into agents' actions, auditing, and the ability to safely rewind changes to applications, data, and configurations. This innovative tool is designed to address the rising issue of "non-human error" in agentic AI systems, which can inadvertently cause business disruptions such as deleting production data or altering IT settings incorrectly.

The integration of Agent Rewind with major cloud services and platforms, including Agentforce, Microsoft Copilot Studio, and Amazon Bedrock Agents, as well as custom-built AI agents, facilitates its adoption in diverse cloud environments and enterprise AI infrastructures.

The acquisition and launch of Agent Rewind aim to increase enterprise confidence in deploying generative AI agents. With this safety net, enterprises can now embrace AI agents for automation and complex task execution, knowing that mistakes can be reversed without significant operational downtime. This capability enhances the reliability and governance of generative AI in production settings, a crucial factor given studies showing frequent failures and errors in AI agent projects without such safeguards.

Rubrik's acquisition of Predibase strengthens its position in AI-driven data protection and recovery, enabling safer adoption of generative AI in cloud-integrated environments. The companies expect to deliver improved accuracy, lower costs, and better performance in AI applications by combining Predibase's technology with Rubrik's secure and governed data lake.

Together, Rubrik and Predibase aim to drive agentic AI adoption around the world and unlock immediate value for their customers. The acquisition is expected to enhance Rubrik's capabilities in securing and deploying generative AI, particularly when integrated with major cloud services like Amazon Bedrock, Azure OpenAI, and Google Agentspace.

As Rubrik continues to expand its horizons, it is currently hiring, with 134 job openings available. The terms of the deal between Rubrik and Predibase were not disclosed. Predibase offers a platform that fine-tunes open-source AI models into highly accurate, production-ready solutions, using a proprietary post-training stack and an optimized inference engine.

This acquisition marks a significant step forward for Rubrik in the AI industry, aiming to accelerate the adoption of agentic AI from pilot stages to production.

  1. The integration of Agent Rewind, a capability produced from the amalgamation of Rubrik's data recovery solutions and Predibase's advanced AI infrastructure, promises to revolutionize the way organizations manage mistakes made by autonomous AI agents.
  2. With the launch of Agent Rewind, a tool designed to address the issue of "non-human error" in autonomous AI systems, Rubrik is poised to enhance the reliability and governance of generative AI, further expanding the adoption and integration of AI-driven data protection and recovery solutions.

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