- Wirestock secured $23 million in Series A funding led by Nava Ventures, with backing from SBVP, Formula VC, and I2BF Global Ventures
- The San Francisco company now works with over 700,000 creators and has surpassed a $40 million annual run rate
- The fresh capital will help Wirestock expand its multimodal data infrastructure and launch new monetisation tools for creators globally
San Francisco-based Wirestock has raised $23 million in Series A funding.
The round was led by Nava Ventures with participation from SBVP, co-founded by former Meta alum Sheryl Sandberg, Formula VC, I2BF Global Ventures, and other strategic and existing investors.
Wirestock was founded in 2018 by Mikayel Khachatryan, Ashot Mnatsakanyan, Vladimir Khoetsyan, and Hovhanness Kuloghlyan to simplify how creators distribute and monetise digital content online.
Wirestock originally focused on helping photographers distribute and monetise images across stock content marketplaces such as Shutterstock. The company later pivoted toward supplying premium datasets built specifically for AI model training, an area now driving its rapid growth.
“Wirestock has built an incredibly versatile platform that orchestrates the creation, curation, and delivery of complex multimodal datasets. By learning from this data, AI models gain a deeper understanding of the world around us and become more capable of performing creative tasks. With all this innovation, we never lose sight of what powers Wirestock, our global community of creators,” says Khachatryan.
That shift has transformed the business. Wirestock says creator payouts have increased 20-fold year-over-year since introducing its AI licensing model, while the company has surpassed a $40 million annual run rate. Its platform now connects more than 700,000 creators globally, including photographers, videographers, musicians, filmmakers, graphic designers, and 3D artists.
At the centre of Wirestock’s growth is a multimodal data infrastructure designed to supply AI labs with intentionally created and ethically sourced datasets rather than scraped internet content. The platform combines human review with automated moderation systems to organise images, videos, music, 3D assets, and spatial data using semantic annotations, metadata, and image-text alignment.
Wirestock says this improves training efficiency and model performance for multimodal systems capable of understanding text, visuals, audio, and spatial environments.
The company competes with firms such as Scale AI, Appen, and Hive AI. However, Wirestock believes its creator-first ecosystem and transparent licensing structure offer an advantage as scrutiny grows around copyright, consent, and the sourcing of training data.
“Wirestock is at the cutting edge of the rapidly growing multimodal data ecosystem. As artificial intelligence progresses past language-based systems, multimodal data will become an increasingly important part of any model’s training. Mikayel and the team at Wirestock have a deeply prepared mind in the space, and have positioned themselves as clear leaders in the category,” said Freddie Martignetti of Nava Ventures.
The funding will be used to scale its multimodal data platform, expand creator monetisation tools, and strengthen integrations with major AI research labs. It also plans to support increasingly sophisticated datasets spanning video, 3D environments, spatial data, motion graphics, music, and design content.
