Panzura Nexus

Panzura Nexus is an enterprise AI platform that enables organizations to securely extend Copilot to unstructured file data stored in Panzura CloudFS. Panzura Nexus is architected as an extensible platform, and the roadmap will be expanding to include more file platforms and additional AI experiences.

Panzura Nexus is designed for enterprise organizations that rely on large volumes of unstructured data, including industries such as architecture, engineering and construction (AEC), manufacturing, life sciences, and other file-intensive sectors. It supports knowledge workers, IT leaders, and data teams who need to securely access and analyze file-based content - such as project documents, contracts, and design files - within the Copilot experience. Using a Graph connector and an event-driven ingestion pipeline, the solution delivers real-time access to file content, metadata, and activity - without requiring data migration, duplication, or changes to existing workflows.

Panzura Nexus addresses a common enterprise challenge that the majority of critical business data exists as unstructured files that are not accessible to AI tools, limiting the effectiveness of Copilot and other solutions. Traditional approaches often require costly data movement, duplication, or replatforming, and may introduce risks by failing to preserve existing security and access controls.

By bringing AI directly to the data, Panzura Nexus enables secure, permission-aware access to enterprise file content in real time. The platform preserves existing NTFS-based permissions by mapping them to their system ID and enforcing them at query time, ensuring that users only access data they are authorized to view.

With Panzura Nexus, organizations can unlock actionable insights from previously inaccessible file data, accelerate knowledge discovery, and improve productivity - all within the familiar Copilot interface. The extensible architecture supports future integration with additional data sources and AI experiences, enabling customers to scale their AI initiatives while maintaining governance and control.