Shutterstock Expands Licensed Training Datasets to Power Generative AI
Shutterstock, Inc., a family of brands delivering scalable creative and GenAI solutions, announced that it is accelerating the future of generative AI with a major expansion of its training datasets.
According to the company, this expansion provides developers, researchers, and enterprise partners with unprecedented access to multimodal data high-quality licensed content for the full model training lifecycle, marking the next phase in Shutterstock’s growing data licensing business.
“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. “While compute power often dominates headlines, it is high-quality, diverse, and rights-cleared data that fuels a model’s ability to evolve and perform in a rapidly changing world. A continuous flow of fresh data has become as essential to AI infrastructure and ongoing retraining pipelines as compute power itself.”
Already recognized for its extensive library of images, video, audio, and 3D content, Shutterstock has become a strategic AI partner and critical enabler of enterprise AI innovation, powering systems built by some of the world’s largest technology companies, including OpenAI.
Its expanded data catalog now features a growing range of assets—from templates and fonts to long-form video, premium metadata, and specialized podcast and science imagery—giving developers even greater depth and diversity of training material to power the next generation of generative models. New categories and content types are continuously being added to meet the evolving needs of model builders worldwide, the company said.
This expansion reflects the accelerating demand for high-quality training data as generative AI development reaches critical mass globally.
By broadening access to rights-cleared, high-quality content across new formats and categories, Shutterstock is meeting the growing need while upholding the standards of transparency and data integrity and compliance that define its approach to AI, said Shutterstock.
As developers seek richer, more diverse training materials to refine and evolve their models, Shutterstock continues to bridge the worlds of creativity and technology, empowering developers and enterprises to build smarter, more capable AI systems.
To support the full spectrum of AI innovation, Shutterstock offers both research and commercial data licensing options. Researchers and startups can begin with a research license to explore, experiment, and validate models before transitioning to a commercial license for scaled deployment. With this expansion, innovators gain access to even more high-quality content to power discovery, iteration, and real-world application, said the vendor.
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