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Nasuni has announced that AI Activate and Resilio 6.0 are generally available on the Nasuni File Data Platform, with Enterprise Search following later this quarter. Together with the content classification Nasuni picked up in its recent DryvIQ acquisition, the additions let AI tools and people work against the same live file data in Nasuni’s global namespace, with no separate copy for AI and no permissions to rebuild. Nasuni’s framing is that the model is no longer the differentiator; the data is, and most of that data sits in operational files that change constantly. Its own research across 1,000 organizations found a majority saying their AI projects are not meeting objectives, and it cites a July Gartner report, “How to Architect Your Enterprise Data Stack for AI at Scale,” for the line that “traditional data management can’t deliver the speed, scale, or trust required to support enterprise AI.” CEO Sam King named the obstacles as rising token costs, few production-scale deployments, and governance that has not kept pace. Data Classification, Model Context Protocol Integration, and Edge Networking The DryvIQ piece classifies content across 550 file formats and more than 75 languages, scanning hundreds of terabytes a day, and reaches into more than 40 repositories including Microsoft 365, Google Drive, Box, Amazon S3, and on-premises NAS. It flags PII, PHI, and PCI data and sorts files into valuable, risky, redundant, obsolete, or trivial, which gives administrators a basis for retention and security policy. AI Activate connects AI tools to that file data through the open Model Context Protocol. A metadata and content index does the finding, so, in Nasuni’s words, AI spends less time and fewer tokens, and permissions are enforced before the model sees any content. At Wood, CISO and VP of IT Jamie Alberts said the front end is whatever users already have: “whether it’s Copilot, ChatGPT or Claude, and it can reach in and actually perform these functions for our users.” Resilio 6.0 covers the sites where bandwidth is the constraint. It uses peer-to-peer distribution to move governed file data at up to 200 Gbps on commodity hardware, which Nasuni says lets teams at construction sites, studios, field offices, and survey vessels work with current files with no VPN, no specialized caching appliances, and no dedicated infrastructure. Enterprise Search, when it lands, adds fully hosted, permission-aware full-text search across the same files for people and AI alike. Chief Product Officer Nick Burling tied the pieces to one rule: “one governed copy of the data, wherever the business needs it.” A global namespace, immutable versioning, native permission enforcement, and customer-owned object storage are how Nasuni meets sovereignty and residency requirements without regional silos, and the same controls carry forward to agents. Nasuni also offers a checklist for AI-ready file data it calls PSYCHIC: Proprietary, Secure, Yours, Current, Hybrid, Indexed, and Continuous, each framed as a question about whether AI can reach, use, and trust the data. Deployment Status and Production Integration AI Activate has been generally available since September 30, and Resilio 6.0 is available now; Enterprise Search rolls out to customers later this quarter. Nasuni’s customer examples: McKim & Creed consolidated 27 file servers onto Nasuni, and its remote engineers reported a 50 percent productivity improvement in early Resilio trials; Omnicom Group has run Nasuni at petabyte scale for more than a decade and cut ransomware recovery from days to minutes; and Wood is using AI Activate to connect its AI tools to file data. Nasuni counts more than 1,300 enterprise customers.
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