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Rubrik acquires Predibase to accelerate adoption of AI agents | TechCrunch
Data cybersecurity company Rubrik announced Wednesday its intent to acquire Predibase. Predibase is a venture-backed startup that helps companies train and fine-tune open source AI models to customize them to their needs. Rubrik is the latest company to make an acquisition with the goal of boosting
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Rubrik agrees to buy AI startup Predibase for over $100 million
Bipul Sinha, co-founder and CEO of Rubrik, a Microsoft-backed cybersecurity software company, rings the opening bell during his company's IPO at the New York Stock Exchange in New York on April 25, 2024. Data management software vendor Rubrik said Wednesday that it's buying Predibase, a startup
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Rubrik acquires LLM tooling startup Predibase for reported $100M+ - SiliconANGLE
Rubrik acquires LLM tooling startup Predibase for reported $100M+ Rubrik Inc. today announced plans to acquire Predibase Inc., a startup that develops software for fine-tuning large language models. CNBC reported that the deal is worth $100 million to $500 million. That represents a major exit
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Rubrik Eyes Predibase Acquisition To Speed Up Customer AI Projects
'What the Predibase team has achieved with model training and serving infrastructure in the last few years is nothing short of remarkable,' Rubrik CEO Bipul Sinha said in a statement. Rubrik plans to buy open source artificial intelligence model fine-tuning upstart Predibase for, reportedly, more
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Rubrik, a data cybersecurity company, has announced its acquisition of Predibase, an AI model fine-tuning startup, to accelerate the adoption of AI agents in enterprise data management and security.
Rubrik, a leading data cybersecurity company, has announced its intent to acquire Predibase, a venture-backed startup specializing in AI model fine-tuning. The acquisition, reportedly valued between $100 million and $500 million, aims to accelerate the adoption of AI agents in enterprise data management and security
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Source: CRN
Founded in 2021 by Devvret Rishi, Piero Molino, and Travis Addair, Predibase has raised over $28 million in venture capital funding
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. The company's technology enables organizations to train and fine-tune open-source AI models, customizing them for specific needs. Predibase's platform utilizes advanced techniques such as LoRA (Low-Rank Adaptation) and Turbo LoRA, which significantly speed up the fine-tuning process and improve inference performance3
.The integration of Predibase into Rubrik's ecosystem is expected to bring several advantages:
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.Bipul Sinha, co-founder and CEO of Rubrik, emphasized the transformative potential of combining Predibase's capabilities with Rubrik's secure data platforms, ensuring that trusted data powers responsible and impactful AI
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Source: SiliconANGLE
Rubrik's acquisition of Predibase aligns with a broader industry trend of companies bolstering their AI capabilities through strategic acquisitions. Recent examples include:
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These moves reflect the growing importance of AI in enterprise software and data management sectors.
Rubrik, founded in 2014, went public in April 2024 after raising more than $1.6 billion in venture capital
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. The company has experienced significant growth, with its latest quarterly report showing a 54% increase in subscription revenue, reaching $265.7 million4
. The acquisition of Predibase is part of Rubrik's ambition to become a multi-product, multi-generational company, expanding beyond its core data security offerings2
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Source: CNBC
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Post-acquisition, Predibase will operate as a separate unit within Rubrik
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. The platform will maintain compatibility with third-party data management systems from companies like Amazon, Databricks, Google, and Snowflake2
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. This approach allows Rubrik to leverage Predibase's expertise while preserving its existing partnerships and customer base.The Rubrik-Predibase deal addresses key challenges in enterprise AI adoption:
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.By combining Rubrik's data security expertise with Predibase's AI model customization capabilities, the merged entity aims to create a comprehensive solution for secure, efficient, and responsible AI deployment in enterprise environments.
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