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Grip bolsters it’s localized visual and audio content offering with AudioStack partnership

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LONDON and NEW YORK, 13th November 2024Grip, the end-to-end content automation platform, part of the INDG Group, announces its partnership with AudioStack, the world’s leading enterprise solution for AI audio production. Bought together by strategic guidance partner, Arloesi, this integration enables brands to enhance content production by incorporating human-like, multilingual voice capabilities, further extending Grip’s CGI and rule-based content generation offerings.

Brands face increasing pressure to produce diverse, on-brand, and multilingual campaigns at scale. Creating multiple ad versions across languages can be both time-consuming and costly. The collaboration between Grip and AudioStack streamlines this process by offering a native collaboration of visual and audio assets in an all-in-one platform.

A recent study by NNG found that generative AI increased employee performance by 66%, with more complex tasks showing the greatest improvements. The partnership between Grip and AudioStack represents the next steps in improved productivity and faster time to market.

The partnership was facilitated by Arloesi Consulting, which has been instrumental in bringing together cutting-edge AI technologies to create connected content ecosystems for global brands. Penri Jones, CEO and Founder of Arloesi, comments:

"The integration of AudioStack and Grip is a defining moment for next-generation DCO. By uniting best-in-class AI solutions for visual and audio content, we're enabling brands to deliver perfectly synchronized, personalized experiences at unprecedented scale. At Arloesi, we're incredibly proud that these innovative companies share our vision of content alchemy - where strategy, craft, and AI converge to transform brand storytelling."

AudioStack’s comprehensive technology suite includes AI script generation, text-to-speech, speech-to-speech, generative music, dynamic versioning, and more. Its platform allows for the fast creation of high-quality audio assets, reducing production times from weeks to minutes or even seconds. This enables users to scale audio production without compromising quality, allowing them to build complex audio workflows more efficiently than in real time.

Grip is known for transforming master ad creatives into infinite variations using rule-based templates that automatically adhere to brand guidelines across all content elements. These templates combine content generation capabilities such as AI, CGI, digital twins and post-production. Now, with AudioStack’s integration, Grip offers brands the ability to generate visual content at scale and integrate highly localized and customized audio, making it easier to create cohesive, multilingual campaigns across multiple formats and channels.

Frans Vriesendorp, CEO at INDG | Grip, says: “Our partnership with AudioStack enriches our video and visual production offering by adding sophisticated voice and audio capabilities. This allows us to offer clients a broader range of lifelike AI voices by giving users access to AudioStack’s advanced technology. This collaboration is key to helping brands scale up their digital content production.”

Silke Zetzsche, Global Commercial Director at AudioStack, adds: “We are pleased to partner with Grip. Their expertise, combined with our innovative audio technology, provides clients with a more expansive creative toolkit. Together, we’re enabling brands to produce high-quality audio and visual content with greater speed and precision.”

Explore more of the Grip platform here: https://www.grip.tools/

About Grip

As INDG's software branch, Grip is an end-to-end content automation platform that generates infinite ad variations by combining CGI, rule-based generative AI, and post-production into an easy-to-use automated content generation platform that transforms master ad creatives into endless variations—empowering brands to scale content production globally without compromising on quality or brand consistency.

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Audio Generation, AI Generation