Box taps Nvidia’s Nemotron for new agent-first content retrieval system

Russell Brandom

6:00 AM PST · November 5, 2026

At its developer conference on Thursday, Box showed off a new feature that will build Nvidia’s Nemotron embedding system into the core of its product.

Called Box Content Retrieval, the new feature allows agents to answer queries far more effectively by relying on the embedded metadata created by Nemotron.

Box says the upshot for users is faster, more accurate and less expensive queries. Nvidia’s VP of generative AI software, Kari Briski, told TechCrunch that she expects queries to be answered four times faster, with 20% fewer errors and 90% fewer tokens used.

The system will be available to all of Box’s Enterprise Advance customers, rolling out early next year.

“This dramatically boosts both the relevance of our search technology for agents,” Box CEO Aaron Levie said. “Instead of an agent having to kind of read through each document, we can send back chunks from the documents that are most relevant to the user’s query or whatever the task is that the agent is doing.”

The feature is an implementation of Nvidia’s Nemotron Embed project, which offers open-weight embedding models to improve automated retrieval systems. Major labs have often overlooked such models, which use LLMs to pre-process data so it can be better used by agents. The sector has been a focus for Nvidia’s open-source model project, with its recent Nemotron release in July topping the RTEB benchmark, which measures retrieval quality.

The system will be most useful when paired with active agents, Box says, giving the example of lawyers, who will ostensibly be able to find relevant clauses and precedents more easily under the new system. Because Nemotron’s embeddings go beyond simple keywords to map underlying concepts, a search tool can surface related legal themes even when different wording or language is used.

While the Nemotron models are freely available, the system also relies heavily on Box’s pre-existing metadata and permission controls, which will make it challenging to recreate from scratch. “We’re probably packing in five different technologies into one simple API,” Levie told TechCrunch.

Topics

AI , Box , nvidia

When you purchase through links in our articles, we may earn a small commission . This doesn’t affect our editorial independence.

Russell Brandom

AI Editor

Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT’s Technology Review.

He can be reached at [email protected] or on Signal at 412-401-5489.

View Bio

November 4

Boston

Buy One Pass, Get a Second Free

Cover more ground at TechCrunch’s ultimate founder bootcamp of the year by bringing your co-founder or partner for free

Book before the BOGO deal expires

Register Now

Most Popular

Data centers are turning to old jet engines as the wait for power grows

Aditya Mehta

New York City’s Mamdani criticizes Madison Square Garden owner over surveillance tech

Zack Whittaker

Anthropic warns that it’s very close to RSI capability, aka self-building AI

Julie Bort

New York Times and other outlets sue web browser Brave over alleged content scraping

Rebecca Bellan

Ninja’s first-ever microwave just replaced two of my kitchen appliances at once

Lauren Forristal

Anthropic expected to receive high ‘junk’ rating from credit agencies following IPO, FT report says

Lucas Ropek

Google’s first data center satellite is online and writing poetry

Tim Fernholz

Loading the next article

Error loading the next article