Everyone has the same AI.
Your advantage is your data.
The models are a commodity – your competitors run the same ones. What sets your AI apart is an AI data strategy that gives your teams and your AI governed access to the proprietary knowledge in your files. That is what Nasuni delivers.
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Everyone adopted AI. Few are seeing the returns.
AI is a board-level priority, yet most programs stall before they reach production. The pilots demonstrate well. Most never ship. The gap between adopting AI and getting a return on it is the defining enterprise story most enterprises are experiencing, and it is not a model problem.
Your AI is only as good as the data it works with.
Every enterprise runs on the same handful of foundation models. They are powerful, and they are commodities. Your competitors have the exact same ones.
What no one can copy is your data: the contracts, designs, project histories, and institutional knowledge locked in your files. That context is what makes AI reason like an insider.
The catch is that most of that data is fragmented, ungoverned, or out of reach. So AI reaches for it, comes up short, and fills the gap with a plausible guess instead of the answer.
Fixing the model will not fix that. The work is at the data layer.
Gartner identifies the absence of AI-ready data as a top reason generative AI deployments fail, and points to a single governed source with permission-aware retrieval as a viable starting pattern for grounded AI.
Copy the data into an AI platform. Build pipelines, manage staleness, re-prove permissions, and turn every use case into a data-movement project.
Leave the data where it already lives, governed and unmoved, and bring AI to it. One unified file foundation that serves both the people doing the work and the AI supporting them, with permissions, freshness, and governance built in, not bolted on.
Governance is what keeps AI from becoming a business risk.
You cannot govern what you cannot see.
If someone asked today whether there is personal data sitting in your file shares, could you answer? Most organizations cannot, and it is not for lack of trying. Sensitive content, redundant data, and forgotten records accumulate across file shares for years, and nobody has looked inside.
- Works continuously across your entire file estate — more than 40 repositories, cloud and on-premises — not just the files already on Nasuni
- Classifies content across 550+ file formats and 1,000+ business document types
- Detects PII, PHI, and PCI across more than 100 entity types and 175+ languages
- Takes action on what it finds: quarantines high-risk content, applies retention and sensitivity labels, remediates permissions, and supports defensible deletion — mapped to GDPR, HIPAA, and PCI-DSS
AI that works like it knows your business.
Connect the AI apps your teams already use to your live file data, governed from the first query. Your AI answers from current file data, not a six-month-old snapshot. It reasons over your proprietary knowledge, not the public internet. And it only ever sees what each person is allowed to see. The result is AI your teams actually trust, because every answer traces back to a real file, not a guess.
Retrieval runs against live file content, so the answer reflects today, not last quarter.
AI reasons over your files and your context — the advantage no competitor’s model can copy.
Each query respects the user’s existing permissions before the model ever sees a file.
Fast, effortless access to every file — from anywhere.
Your teams open the files they need at local-disk speed, from any location, without a VPN. They always work on the current version, and they see every file they are entitled to. When access is that fast and that complete, AI stops being a novelty and starts helping people with real work on real files.
Teams work on the live file and the current revision, never last week’s export.
One unified view of files across every site and cloud, so nothing valuable stays invisible.
The right file surfaces fast, instead of a hunt across scattered shares.
One set of permissions. For your team and your AI.
Giving AI access to file data usually means standing up a new security surface: a parallel permission model, a new thing to audit, a new place for data to leak. Nasuni does it differently. AI inherits the exact permissions, identities, and access rules your teams already have. There is nothing new to configure and nothing new to certify.
Good governance starts with knowing what you have. Nasuni DryvIQ classifies and labels sensitive content across your file environment, and Nasuni AI Activate enforces existing permissions before AI ever opens a file on the Nasuni platform.
By 2027, 60% of data governance teams will be mandated to prioritize governance of unstructured data for generative AI use cases.
Faster access. Smarter answers. Simpler infrastructure.
Activation is not another project to fund and staff. It runs on the file foundation you put in place, so the value shows up in days, not quarters.
Faster access.
Teams reach files at up to 15x faster, and AI moves from pilot to production without a build-it-yourself pipeline standing in the way.
Smarter answers.
AI responds from live, governed, proprietary context, so teams get real answers grounded in your files instead of plausible guesses.
Simpler infrastructure.
One platform replaces separate infrastructure, data pipelines, and parallel security stacks. The result: up to 60% infrastructure savings and far less to manage.
Through 2028, teams building their own unstructured-data solutions will incur costs more than 300% higher than using existing solutions, skills, and practices.
What teams ask before they start.
Most stall on data, not models. The models are ready, but the file data they need is fragmented, ungoverned, or out of reach. Gartner identifies the absence of AI-ready data as a leading reason generative AI deployments fail.
AI-ready file data is governed, current, and permission-aware. AI reaches the live file, sees only what the user is allowed to see, and reasons over the current version rather than a stale copy. Having an AI data strategy means your organization has already solved all three, so AI works from trusted data on day one.
No. With Nasuni AI Activate, AI inherits the same permissions and identities your teams already have. Each query respects those permissions before the model ever sees a file, so AI cannot disclose what a user cannot access.
No. You do not need to copy files into a separate AI platform or vector database. Your AI reaches the governed file layer where the data already lives.
Your teams keep the AI assistants they already use. Nasuni connects them to your file data through open standards, including MCP, so you are not locked into a single vendor.
Nasuni handles this as one motion, not a separate project. First, DryvIQ continuously classifies and labels what is in your files, wherever they live. That content is unified into one governed file estate, Nasuni File Data Platform. And finally AI Activate provides AI permission-aware access to the data. Nothing reaches AI ungoverned or unclassified.