CAEVES Shifts Strategy to Turn Legacy Data into AI-Ready Assets

The company’s strategic pivot follows a successful early adoption phase where firms have successfully ingested multiple petabytes of previously inaccessible data. By connecting archives directly within Microsoft Azure environments, CAEVES allows organizations to query decades-old information using standard search tools without the need for complex data rehydration or migration. This approach addresses the problem identified by Gartner, which estimates that nearly a third of enterprise storage budgets are currently tied up in redundant or cold data that remains invisible to modern AI tools.

Industry recognition has followed this shift, with CIOReview naming CAEVES the Top AI-Ready Deep Storage Solution for 2026. The platform’s architecture focuses on overlaying intelligence on existing object storage, ensuring that security models—such as NTFS permissions and Entra ID identities—remain intact. Jaap van Duijvenbode, co-founder and VP of Product Strategy, emphasized that the goal is to make archived data a functional foundation for AI rather than just a cheaper item on a balance sheet. Early adopters, including global engineering firms, have reported storage cost reductions of up to 65% while gaining the ability to leverage historical data for current analytics and automation projects.