Pippa, a text-to-video artificial intelligence startup launched in May, is attempting to change industry practices by directly compensating human artists whenever users generate styles derived from their work. The platform currently has around 800 paying subscribers, according to its cofounders Hogan Shrum and Sean Wright.
Generative artificial intelligence startups have spent years facing criticism from illustrators over training models on artwork without permission, a practice many creators view as theft. While technology boosters defend the scraping as a necessary step for technical evolution, it has triggered contentious legal battles and pushed some companies to market themselves as ethical alternatives, according to reporting by Theverge.
How Pippa Compensates Human Creators
Unlike many companies selling text-to-video models that generate short bursts of user footage for visual storytelling, Pippa routes direct payments to artists. According to Theverge, illustrators receive $0.005 per image and $0.003 per second of video generated in a style derived from their work. These payments scale up with higher user generation volumes, and creators also access a share of a 5 percent royalty pool funded by overall monthly subscriptions, which range from $14.99 to $99.99.
Pippa’s press materials compare this royalty distribution to Spotify’s payment structure, a decision that draws immediate scrutiny given how many music creators have criticized the streaming service for low payouts. Cofounders Hogan Shrum and Sean Wright told Theverge they see their platform as a way to move forward from what they call the bloody history that the AI industry has been built on.
Sean Wright, Cofounder, Pippa, stated that all of those models from the past 18 months had been trained on real people’s art without their permission, noting that was how it was built, and he compared it to when Napster was a thing and everybody was stealing music, but then Apple came out with the 99-cent song, Napster got shut down, and they figured out a different way to get musical artists paid.
Vetting Artists and Navigating Community Stigma
Since launching in May, Pippa has signed licensing and model training agreements with four human artists and is currently in talks with four more, according to Shrum. Illustrators seeking to join the platform must complete a multi-step vetting process to prove the submitted illustrations actually belong to them. Once approved, models trained on their art become available to the platform’s roughly 800 paying subscribers, and artists receive a profile page to direct traffic to external portfolios.
Despite these financial incentives, the startup faces significant hesitation from the creative community. Wright told Theverge that many artists fear being ostracized by their peers for participating in artificial intelligence tools, leading the company to offer partner artists the option to submit work under pseudonyms to avoid being seen as crossing the picket line
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Sean Wright, Cofounder, Pippa, mentioned that they had so many conversations with artists who expressed that they loved it, but did not want to get ostracized by their community, adding that since they were very early in that space, there was some apprehension to participate in it, though they thought that could change as people saw the economics of how they were paying artists and that their intent was good.
The Underlying Tech and Unresolved Industry Questions
Even with its focus on direct compensation, Pippa has not entirely eliminated reliance on scraped data. The company’s technology still utilizes open models that undergo initial training on a broader internet dataset before incorporating bespoke artist models, meaning the platform still relies to some degree on art gathered without express creator consent, according to Theverge.
While Pippa aims to eventually transition fully to models trained exclusively on datasets supplied by in-house artists, that technology remains in development. The core unresolved question for the startup and similar platforms is whether direct micro-payments and royalty pools will prove sufficient to convince skeptical illustrators to embrace generative video tools while foundational models continue to rely on scraped internet content.
