Shutterstock expands AI training datasets with templates, fonts and video
Shutterstock Inc. (NYSE: SSTK) announced an expansion of its training datasets for artificial intelligence development, adding templates, fonts, long-form video content, premium metadata, and specialized podcast and science imagery to its existing catalog.
The company's data licensing business now provides developers and enterprise partners with access to multimodal content for AI model training. Shutterstock currently works with technology companies including OpenAI, as well as AI firms such as Black Forest Labs, Runway, and ElevenLabs.
"Generative AI models are not static; they must be continuously trained and refined to remain relevant, competitive, and accurate," said Daniel Mandell, Senior Vice President of Data Licensing and AI at Shutterstock. "A continuous flow of fresh data has become as essential to AI infrastructure and ongoing retraining pipelines as compute power itself."
The expanded catalog builds on Shutterstock's existing library of images, video, audio, and 3D content. The company offers both research and commercial data licensing options, allowing researchers and startups to begin with research licenses before transitioning to commercial licenses for scaled deployment.
Shutterstock provides rights-cleared content with data provenance documentation to support AI compliance requirements. The company's platform includes data structuring, labeling, rights management, and training orchestration services.
The announcement follows Shutterstock's recent launch of its AI Services offering, which expanded the company's role in end-to-end model training and evaluation. The service combines data licensing with custom training datasets and evaluation tools.
Shutterstock operates through a global network of content creators and provides businesses with licensable assets, training datasets, and production services. The company's data licensing division supports the full AI model training lifecycle from initial development through deployment and retraining.
