#United States #New York #Microsoft Azure #CAEVES #Intelligent Deep Storage

CAEVES Technology Unveils Intelligent Deep Storage™ for Azure

In a significant move to transform enterprise data management, CAEVES Technology, Inc. has announced the launch of its Intelligent Deep Storage™, a software-defined platform designed specifically for Microsoft Azure. Officially available as of February 4, 2026, this innovative solution aims to tackle the challenges associated with escalating data storage costs and the inefficiencies of legacy storage systems.

The Current Landscape of Data Storage

As businesses continue to generate massive amounts of data, traditional storage solutions are becoming increasingly impractical. Many organizations find themselves stuck in a cycle of high costs and slow access to archived data, which hampers their ability to harness the full potential of their information. According to CAEVES, organizations are currently spending millions maintaining outdated storage systems that do not integrate well with modern analytics and AI capabilities.

Introducing Intelligent Deep Storage™

CAEVES’ Intelligent Deep Storage™ offers a game-changing approach by redefining what deep storage can be. This platform allows organizations to reduce their storage costs by up to 70%, while ensuring that data remains instantly accessible and AI-ready. Through transparent tiering to Azure's long-term object storage, CAEVES eliminates common issues associated with traditional archives, such as rehydration delays and operational complexity.

One of the standout features of this system is the CAEVES Copilot Connector™, which allows organizations to connect their historical data to Microsoft 365 Copilot. This integration empowers users to perform AI-driven searches and enhance data retrieval processes, all while maintaining their existing security protocols.

Benefits of CAEVES Intelligent Deep Storage™

A few of the core advantages of the Intelligent Deep Storage™ solution include:

• - Massive Cost Reduction: Organizations can achieve a total cost of ownership (TCO) reduction of up to 70% when compared to traditional storage solutions.
• - Speedy Data Retrieval: The platform boasts search speeds that can be 50 times faster, even across large datasets exceeding multiple petabytes.
• - Quick Deployment: Customers can have their historical data AI-ready in less than 30 minutes, simplifying the integration into their existing Azure or hybrid environments.
• - Remarkable Durability: The system ensures 99.99% data durability within the secure infrastructure of Azure, safeguarding vital information.

Customer-Centric Approach

Jaap van Duijvenbode, Co-Founder and VP of Product Customer Experience at CAEVES, emphasized the company's commitment to creating accessible storage solutions: “Storage should be cheap, deep, and easy… but never dark. Our goal is to significantly lower storage costs without compromising on access, security, or usability.”

This customer-centric philosophy fosters greater efficiency in data management and allows businesses to leverage their data more dynamically, ultimately turning storage into an asset rather than a liability.

CAEVES Technology demonstrates that enterprise storage does not have to be prohibitively expensive or cumbersome. Shirish Phatak, CEO of CAEVES Technology, reiterated this sentiment: “CAEVES transforms storage from a passive cost center into a powerful, AI-optimized foundation that can scale economically while preserving the full value of enterprise information.”

Conclusion

With its launch now live on the Microsoft Marketplace, CAEVES Intelligent Deep Storage™ presents a compelling alternative to organizations looking to streamline their storage costs and enhance data access. As the tech landscape continues to evolve, CAEVES is positioning itself as a leader in intelligent storage solutions, promising innovative paths forward for the way businesses handle their data.

For further details about the Intelligent Deep Storage™ platform, visit www.caeves.com or get in touch at [email protected].