Cloud File services supplier Nasuni has made content intelligence and governance, high-performance file synchronisation and edge acceleration technology to what its now calling its Operational File Data Platform for the AI era
These capabilities are largely based on two acquisitions it made earlier this year. Nasuni bought DryvIQ in August to add AI-powered content intelligence and governance capabilities to its File Data Platform (FDP). Earlier It had bought Resilio in April to add high-performance file synchronisation and edge acceleration technology to its FDP. At that time, it declared it had significantly evolved from its original collaboration and cloud file services era and was now an unstructured data platform for enterprise teams and AI. Its updated software can manage, protect, and activate unstructured data at scale from a single global namespace. People and AI work from the same current data.
CEO Sam King pointed out: “Many organisations have achieved broad adoption of LLMs, but turning that usage into measurable business value is proving much harder. Rising token costs, limited production-scale deployments, and data governance that has not kept pace are exposing the real challenge: your advantage is not the model, but your proprietary data, your business context, your enterprise intelligence.”
She said Nasuni is now about “helping enterprises understand the data they have and [putting] their own intelligence to work securely. Today, we are delivering on that promise with capabilities built on our proven file data platform architecture.”
The new and generally available capabilities are:
- Content Intelligence and Governance: Via DryvIQ, Nasuni has the ability to understand, manage, and protect file data across more than 40 repositories, including Microsoft 365, Google Drive, Box, Amazon S3, and on-premises NAS. DryvIQ classifies content across 550 file formats and 175 languages, identifies PII, PHI, and PCI data, and scans hundreds of TB per day. Enterprises can understand what they have, identify and classify what is valuable, risky, redundant, obsolete, or trivial (ROT), and apply automated governance policies across their data estate.
- Governed AI Access: AI Activate connects AI directly to enterprise file data through the open Model Context Protocol ( MCP ). It’s powered by a metadata and content index, with permissions enforced before AI sees any content, allowing third-party MCP-compatible AI platforms and agents to work from live operational files rather than giving them a specially curated separate copy.
- Enterprise Search: This adds fully hosted, permission-aware, full-text search across the operational file environment, making the same enterprise knowledge discoverable by people and AI agents. It will be made available soon.
- High-Speed Edge Delivery: Resilio 6.0 extends the Nasuni platform to the far edge, using peer-to-peer distribution to move and deliver governed file data at speeds of up to 200 Gbps on commodity hardware. There is no need for any VPN, dedicated infrastructure or caching appliances. Staff at construction sites, studios, field offices, and survey vessels can work with globally-managed file data at local speed. (McKim and Creed consolidated 27 file servers onto Nasuni, with remote engineers reporting a 50 percent productivity improvement in early Resilio trials.)
Chief Product Officer Nick Burling said: ”A global namespace, immutable versioning, native permission enforcement, and customer-owned object storage let enterprises meet sovereignty and residency requirements without fragmenting their environment into regional silos. It also means security teams are not approving a new data pipeline every time the business adopts an AI tool. The permissions and controls already in place carry forward automatically, to people and to agents alike."
Nasuni has introduced what it calls a PSYCHIC framework to help define what AI-ready data should mean;
- Proprietary: Can AI access the unique data, knowledge, and context of your business?
- Secure: Can AI use the unstructured data safely?
- Yours: Do you maintain control over what happens with the data?
- Current: Is AI working with the latest version of what is happening now?
- Hybrid: Can you bring your AI to your data wherever it resides?
- Indexed: Can AI find the right information, quickly and efficiently?
- Continuous: Can AI access and use the accumulated knowledge embedded in years of files and projects?
If you are not psychic (Sorry. Couldn’t resist it.) you can learn about PSYCHIC here.
Comment
All the cloud file services businesses, such as Box, CTERA, Egnyte, Nasuni and Panzura are enabling their customers to make the data they store available to AI models and agents with their own versions of content intelligence, governance and controlled permissions, and the common factor of MCP. It has become table stakes. AI models and agents are becoming universal accessors of data.
This could eventually drive a consolidation of cloud file services-fed edge storage suppliers, on-premises data center storage providers and distributed data management suppliers. All three kinds of suppliers are wrestling with the problem of how to give AI models and agents access to the widest possible distributed data estate without losing their own relevance or facing massive costs to extend their reach to parts of the data estate in which they have no presence.