Nova builds railings for productive AI content to protect brand integrity

Nova builds railings for productive AI content to protect brand integrity

Whereas manufacturers incorporate generative AI into their artistic workflows to create new company-related content material, they need to train care to make sure that new materials meets the corporate’s type and model tips.

Nova is an early-stage startup creating a set of generative AI instruments designed to guard model integrity, and immediately the corporate is saying two new merchandise to assist manufacturers average AI-generated content material: BrandGuard and BrandGPT.

With BrandGuard you get your organization’s model tips and elegance information, and with a set of fashions Nova has created, you may examine content material in opposition to these tips to ensure it is acceptable, whereas BrandGPT enables you to ask questions in regards to the model’s content material tips. ChatGPT type

Rob Might, founder and CEO of Backupify, a cloud backup startup beforehand acquired by Datto in 2014, realized that corporations wished to start out leveraging productive AI know-how to create content material sooner, however had been nonetheless involved. got here up with the thought to put in a railing system to guard the model from producer synthetic intelligence mishaps, whereas sustaining model integrity.

“‘How do I do know that this AI-generated content material is on the model?’ We have heard from a number of CMOs involved in regards to the difficulty, which is why we have created this structure, known as BrandGuard, which is a extremely attention-grabbing mannequin lineup, along with BrandGPT, which acts as an interface on prime of the fashions, Might instructed TechCrunch.

BrandGuard is just like the backend of this model safety system. Nova has created 5 fashions that search for issues which may appear loopy. Model security, high quality management, whether or not it’s a model, whether or not it suits the type and whether or not it’s within the marketing campaign are checked. It then assigns a content material rating to every piece, and every firm can determine what the edge is for calling a human to examine the content material earlier than publishing it.

“After getting generative AI that creates issues, now you can rating it on a continuum. “You’ll be able to then set thresholds and have the system flag it so {that a} human can look if one thing is, say, beneath 85% of the mark.” Firms can determine which threshold they’re comfy with.

Might mentioned BrandGPT is designed to work with third events, reminiscent of an company or contractor, who can ask questions to ensure they comply with the corporate’s model tips. “We’re launching BrandGPT, which is meant to be the interface to all these brand-related safety stuff we’re making, and as individuals work together with manufacturers, they will entry type guides and higher perceive the model. Whether or not you are a part of the corporate or not.

These two merchandise can be found in public beta beginning immediately. The corporate launched final yr and has raised $2.4 million from Bee Ventures, Fyrfly Ventures and Argon Ventures.

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