Scality's Long Bet: How The 15-Year-Old French Storage Company Is Rewiring Itself for the Agentic AI Era

2026-05-13 · Source: The French Tech Journal · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Scality, a 15-year-old French storage company co-founded by CEO Jérôme Lecat in 2009, is undergoing a significant transformation to adapt to the agentic AI era. The company, which has 240 employees across 16 countries and generates over €50 million in annual revenue, 75% of which is international and highly profitable, recently launched a new software platform. This platform utilizes AI agents to manage enterprise data across four storage tiers, from flash to tape archives. This strategic shift reflects Scality's effort to reinvent itself in response to the changing storage needs driven by generative and agentic AI, aiming to expand beyond its traditional storage customer base into larger markets.

Key takeaway

For CTOs and VPs of Engineering evaluating long-term data infrastructure strategies, Scality's pivot demonstrates that even profitable, established companies must fundamentally adapt to agentic AI. You should assess how AI agents could automate and optimize your data storage and management across diverse tiers, potentially expanding your operational capabilities and market reach.

Key insights

Established companies can reinvent themselves by integrating agentic AI to address evolving market demands and expand opportunities.

Principles

• AI transformation impacts core business models.
• Agentic AI can manage complex data workflows.

Method

Scality developed a software platform using AI agents to manage enterprise data across four distinct storage tiers.

In practice

• Integrate AI agents for data management.
• Re-evaluate existing SaaS subscriptions.
• Rewrite code review processes.

Topics

• Scality
• Agentic AI
• Enterprise Data Management
• Storage Tiers
• AI Agents

Best for: CTO, VP of Engineering/Data, AI Architect, Director of AI/ML, AI Product Manager, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by The French Tech Journal.