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Wirestock Lands $2.3M Funding to Scale Multimodal AI Solutions

Wirestock secured $23M in Series A funding to expand its AI training data business, supplying licensed multimodal datasets to six of the world's largest AI labs.

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Wirestock secured $23M in Series A funding to expand its AI training data business, supplying licensed multimodal datasets to six of the world’s largest AI labs.

Wirestock announced Thursday that it raised $23 million in Series A funding to build out its data supply business. The round marks a major milestone for a startup that has quietly become a key supplier to some of the world’s largest AI labs.

Nava Ventures led the investment. SBVP, co-founded by Sheryl Sandberg, along with Formula VC and I2BF Ventures, also participated. Wirestock did not start as an AI company. The startup launched in 2018 with a platform that helped photographers and other creative professionals distribute their images through stock image services. However, the market shifted and so did Wirestock.

The company shifted in 2023 to focus on supplying multimodal data to AI labs. That pivot paid off quickly. The shift toward AI licensing drove 20x year-over-year growth in creator payouts and helped the company surpass a $40 million annual run rate.

Furthermore, Wirestock now offers model developers access to a catalog of more than 50 million images and videos created by about 700,000 users. Simply put, multimodal data combines different types of content. Multimodal data means different types of content in one package images, video, and 3D files similar to giving an AI a mixed media library instead of only books.

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Wirestock’s datasets span images, video, 3D models, design assets, and real-world spatial data, with curation supported by both human review and AI-assisted moderation to improve annotation quality and image-text alignment for vision-language model training.

Additionally, the company also sells custom training datasets. One of its specialties is recording footage that demonstrates how users interact with applications. One important aspect of Wirestock’s model is creator consent. Wirestock CEO Mikayel Khachatryan said the company was transparent about its shift and allowed artists to opt out of the data supply business.

In fact, the majority chose to stay. Khachatryan noted that “the majority” of creators transitioned to become data providers. The company’s approach helped maintain trust within its creative community.

Wirestock said creators have contributed millions of assets to the platform and are collectively receiving monthly payouts of millions of dollars. Wirestock currently employs 60 people and plans to use the new funding to hire for research, engineering, and product roles.

Moreover, the company is developing enterprise software to help AI labs collaborate on datasets. This positions Wirestock not just as a data vendor, but as an infrastructure layer for AI development. Wirestock also aims to expand into other modalities, including audio and music.

Meanwhile, the broader market context supports this growth. The company’s growth may partly be driven by surging industry interest in world models, which are trained on visual datasets. Startups developing world models have raised billions of dollars in funding over the past year.

Investors see Wirestock as solving a real problem. Freddie Martignetti, founder of Nava Ventures, said his fund had been actively seeking a startup that demonstrated innovation in data procurement and refinement.

Wirestock has raised a total of $26 million in external funding to date. As demand for licensed, high-quality AI training data continues to rise, Wirestock appears well-positioned to meet it.

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