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Cybersecurity firm Rubrik to acquire AI platform Predibase

Cybersecurity firm Rubrik, Inc. has announced its agreement to acquire AI platform Predibase.

This acquisition aims to facilitate the adoption of agentic AI, allowing organizations to transition projects from pilot phases to full-scale production.

Predibase, founded by former employees of Google and Uber, focuses on optimizing open-source AI models for production environments.

Its platform offers tools that enhance AI performance, reduce costs, and streamline data governance.

The terms of the deal were not disclosed, and it is subject to customary closing conditions.

🔗 Source: Rubrik


🧠 Food for thought

1️⃣ High AI project failure rates create urgent market need for implementation solutions

The staggering 85% failure rate of AI and data science projects reported across multiple industry studies provides critical context for this acquisition’s significance.

According to VentureBeat, approximately 87% of data science projects never reach production, highlighting a massive implementation gap that directly impacts ROI1.

This persistent problem spans industries and organization sizes, with Gartner research showing it typically takes eight months to transition from AI prototype to production deployment2.

For enterprises, these statistics translate to billions in wasted investment, explaining why specialized solutions addressing the prototype-to-production gap (like Predibase’s technology) command strategic value.

The acquisition directly targets the “proof of concept wall” mentioned in the release, a well-documented phenomenon where technically promising AI projects stall before delivering business value.

2️⃣ Technical barriers to AI deployment match Predibase’s specialized capabilities

Research from IDC identifies specific technical challenges that align with Predibase’s offerings, particularly high infrastructure costs and model optimization issues.

Their study found that 25% of organizations report failure rates of up to 50% for AI projects, with skills shortages and unrealistic expectations cited as primary causes3.

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