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Nova is building guardrails for AI generative content to protect brand integrity


As brands incorporate generative AI into their creative workflows to generate new company-associated content, they must take care to ensure new material adheres to company style and brand guidelines.

New star is an early-stage startup creating a suite of generative AI tools designed to protect brand integrity, and today the company is announcing two new products to help brands control AI-generated content: BrandGuard and BrandGPT.

With BrandGuard, you ingest your company’s brand guidelines and style guide, and with a number of templates Nova has created, you can check content against those rules to make sure it’s compliant, while BrandGPT lets you ask questions about the rules. branded content rules in ChatGPT Style

Rob May, the company’s founder and CEO, who previously founded Backupify, a cloud backup startup that was acquired by Data In 2014, he recognized that companies wanted to start leveraging generative AI technology to create content faster, but were still concerned about maintaining brand integrity, so he came up with the idea of ​​building a guardrail system to protect the brand. brand of generative AI. mishaps

“We heard from several CMOs who were concerned with ‘how do I know this AI-generated content is on-brand?’ So we built this architecture that we’re launching called BrandGuard, which is a really interesting set of models, along with BrandGPT, which acts as an interface on top of the models,” May told TechCrunch.

BrandGuard is like the back-end of this brand protection system. Nova built five models looking for things that may seem out of place. They do brand safety checks, quality control, whether it’s on brand, whether it’s adhering to style, and whether it’s on campaign. It then assigns each piece a content score, and each business can decide what the threshold is for calling a human to verify the content before posting.

“When you have generative AI creating things, you can now score them on a continuum. And then you can set thresholds, and if something is below, say 85% on the mark, you can have the system mark it so that a human can see it,” he said. Companies can decide the threshold with which they feel comfortable.

BrandGPT is designed to work with a third party, such as an agency or contractor, who may ask questions about a company’s brand guidelines to make sure it adheres to them, May said. “We’re launching BrandGPT, which is meant to be the frontend for all of this brand-related security stuff that we’re doing, and as people interact with brands, they can access style guides and better understand the brand, whether they’re Are you part of the company or not?

These two products are available in public beta starting today. The company launched last year and has raised $2.4 million from Bee Ventures, Fyrfly Ventures, and Argon Ventures.


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