Visible Things Adopts Quickplay AI Studio to Power Superfan Content

Apr 20, 2026
Visible Things has partnered with Quickplay to integrate its AI Studio and Content to Value Operating System, enabling faster content creation and monetization for creator-driven platforms.

Visible Things and Quickplay have announced a partnership to deploy Quickplay's Content to Value Operating System and AI Studio across the Visible Things platform, according to a press release.

Visible Things, launched in February 2026, allows creators and celebrities to connect directly with audiences through dedicated fan experiences. The integration of Quickplay's AI Studio will enable the platform to transform long form content into searchable, tagged, and monetizable short form clips. The system uses AI to enrich metadata, identify moments, and generate platform ready vertical videos.

Quickplay’s tools will allow Visible Things to respond to trending topics in real time by linking social signals to relevant content in its catalog. This process, which previously took days, can now be completed in minutes. The enhanced system supports publishing across multiple social and owned platforms, enabling faster and more efficient content delivery.

The collaboration aims to expand monetization opportunities for creators by leveraging AI capabilities for content transformation and fan engagement at scale.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Sales & Marketing AI Weekly

News about AI tools and innovations for Sales and Marketing professionals.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.