en.Wedoany.com Reported - AI training data provider Wirestock officially announced on May 14 the completion of a $23 million Series A funding round. The round was led by Nava Ventures, with participation from SBVP, Formula VC, and I2BF Ventures. To date, Wirestock's total cumulative funding has reached $26 million.
Wirestock co-founder and CEO Mikayel Khachatryan stated that the company currently supplies multimodal data to six of the world's largest foundation model manufacturers, with an annualized revenue run rate of $40 million and a cumulative payout of $15 million in revenue shares to platform creators. The platform brings together over 700,000 photographers, videographers, 3D artists, and graphic designers, offering more than 50 million images and video assets.
Wirestock's transformation path holds nodal significance in the AI data supply chain. Founded in 2018, the company initially provided tools for content creators to distribute and sell copyrights for their work across multiple platforms. In 2023, the company officially pivoted to the AI training data supply business, upgrading from a simple copyright distribution tool to a data infrastructure layer connecting creator communities with AI labs. Creators accept data collection tasks and submit work on the platform, which then delivers annotated and copyright-cleared customized datasets to AI labs through a quality inspection process combining AI and human review.
The funding will be focused on three main areas: expanding the team of researchers, engineers, and product staff, further scaling the current team of approximately 60 people; developing dataset collaboration software for enterprise AI labs, used for cross-team data requirement matching and version management; and expanding data modalities, extending beyond existing image, video, and 3D design assets into emerging modalities such as audio, music, and real-world spatial data.
Nava Ventures founder Freddie Martignetti pointed out that multimodal data is crucial for building more human-like AI systems and completing real-world tasks, and that Wirestock possesses a deep understanding of the multimodal data needs of foundation models and hyperscale cloud service providers. From the perspective of industry chain demand, the development of world models and multimodal foundation models is dramatically driving up the scale of training data procurement. Just in early 2026, World Labs completed $1 billion in financing and AMI Labs completed $1.03 billion, both of which require vast amounts of visual and spatial data to train their models.
Wirestock positions itself as a "creative data infrastructure layer," emphasizing that all data sources are authorized by creators and copyright-cleared, distinguishing its path from scraping data from the public web. This strategy creates a differentiated advantage against the backdrop of AI companies facing copyright litigation risks and urgently needing compliant data sources. The company has already initiated a new round of recruitment and begun developing dataset collaboration software products to serve the customized data needs of AI labs.
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