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Reviewed and published by trentmaziarz, March 22, 2026. Discovered and drafted by our automated research pipeline.

Nasuni is developing a capability where large language models would analyze detailed records of how files are being read and written across its platform, then automatically suggest or apply changes to improve storage efficiency and reduce cost. Unlike many AI features that work with the content of files, this system focuses entirely on the technical behavior patterns of file storage — not what files contain. As of early 2026, this capability has been described by Nasuni executives but has not yet shipped as a generally available product.

Details

Nasuni's Chief Innovation Officer disclosed in a May 2024 interview that the company tracks every storage input/output (I/O) operation across its platform and intends to feed this telemetry into large language models to generate recommendations for optimizing how and where data is placed across a customer's multiple storage locations. This is an example of AIOps — the use of AI to automate and improve IT infrastructure management. A companion feature, Ops IQ (launched July 2025), provides human-readable dashboards of the same operational data as an interim step. Nasuni's February 2026 announcement expanding its Hyderabad R&D center listed AI-driven operations and predictive analytics as explicit focus areas, suggesting the full LLM-based optimization capability remains under active development.

Products affected

Nasuni File Data PlatformOps IQ (interim)internal AIOps tooling

Sources & Evidence

News Article

Nasuni: Copilot has won the Windows Gen AI chatbot race

Blocks and Files·May 2024

https://www.blocksandfiles.com/ai-ml/2024/05/20/nasuni-copilot-has-won-the-windows-gen-ai-chatbot-race/1587983

Cite this record

Trace Foundation. (2026). Nasuni: Nasuni is developing a capability where large language models would analyze detailed records of how files are being read and written across its platform, then automatically suggest or apply changes to improve storage efficiency and reduce cost. Unlike many AI features that work with the content of files, this system focuses entirely on the technical behavior patterns of file storage — not what files contain. As of early 2026, this capability has been described by Nasuni executives but has not yet shipped as a generally available product (data as of 2026-03-22) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/ca525512-0388-45bc-9b6b-b55841033f21. Accessed October 14, 2026.

Stable link: https://www.aitrace.org/r/practice/ca525512-0388-45bc-9b6b-b55841033f21
Data as of: March 22, 2026
Last verified: March 22, 2026

How to cite AI Trace

Other practices by Nasuni

OtherNasuni is developing a capability where large language models would analyze detailed records of how files are being accessed and written across its platform, then suggest or apply changes to improve storage efficiency and reduce cost. As of early 2026, this remains under active development — described by Nasuni executives but not yet shipped as a generally available product.ProductivityNasuni offers open-source software tools that allow AI agents — software programs that can take actions autonomously, like a virtual assistant that can actually perform tasks rather than just answer questions — to securely access and work with files stored in Nasuni. Using an open standard called Model Context Protocol (MCP), these tools let AI agents search, read, and manage enterprise files. The initial open-source tools were announced in October 2025; a full commercial product called AI Activate entered invite-only preview in April 2026 with general availability planned for Q4 2026.ProductivityNasuni provides guidance and technical tools that allow its customers to build their own AI chatbots — using Microsoft Copilot Studio — that can answer questions based on files the company already stores in Nasuni. Nasuni also built its own internal chatbot called "Ask Nasuni," which runs inside Microsoft Teams and allows employees to ask questions answered by the company's own documents. This guidance was released in April 2024.

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