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Company intelligence

CAEVES Technology, Inc.

We help organizations securely transform enterprise dark data into accessible, searchable, and AI-ready assets.

Data Infrastructure and Analytics
Bedminster, US
6 employees
Founded 2025
2 public signals

About CAEVES Technology, Inc.

We help organizations securely transform enterprise dark data into accessible, searchable, and AI-ready assets while reducing storage costs and AI investments. The platform’s value is centered around four key value pillars: Accessible and searchable: Keep enterprise data instantly accessible and easy to find. Search across decades of information using familiar interfaces, including Microsoft 365 Search, without restores, rehydration, or losing visibility. AI-ready for Microsoft Copilot: Turn enterprise data into trusted knowledge for Microsoft 365 Copilot and Copilot Studio. Permission-aware indexing delivers grounded AI responses without duplicating data or building complex RAG pipelines. Secure and governed: Bring enterprise data to AI without compromising security. Preserve existing NTFS permissions and Microsoft Entra ID identities with item-level access control, ensuring only authorized information is surfaced, all within your own environment. Cost-efficient and sustainable: Lower storage costs and environmental impact without sacrificing accessibility. Automatically tier inactive data to durable, lowest-cost object storage, reducing costs by up to 70% with no vendor lock-in. In a nutshell, CAEVES combines the economics of cloud object storage, the usability of modern file systems, and the requirements of AI-ready data access into a single platform that operates within the customer’s own Microsoft Azure tenant. CAEVES Intelligent Deep Storage™ and the Copilot Connector™ ensure that discovery and AI-driven reasoning provides end-to-end security and authorization. As a result, data flows seamlessly from file system to object storage to search and AI, without duplicating repositories or introducing separate archive workflows.

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Signals from CAEVES Technology, Inc.

2 published signals

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