EN
Back to the archive

The archive · AI & Models · Strategic decision · 2018–2026

Wirestock's creator-data bet: stock platform pivots to AI datasets, $40M run rate

Stock-photo platform pivots in 2023 to sell ethically sourced multimodal data to AI labs: 700,000+ creators, $40M run rate, $23M Series A led by Nava Ventures.

Wirestock

The betCreative marketplaces sit on a data gold mine: AI labs will pay for licensed, curated multimodal data, and creators will supply it if they are paid and can opt out.Scaling

What the business is

Wirestock is a San Francisco platform where creators upload photos, video, design, 3D and music assets; it now builds and sells curated, ethically sourced multimodal datasets to frontier AI labs.

Starting capitalTotal raised about $26M; the $23M Series A (May 2026) was led by Nava Ventures with SBVP (co-founded by Sheryl Sandberg), Formula VC and I2BF Global Ventures.

How it started

Wirestock began in 2018 as a distribution platform helping photographers sell through stock services like Shutterstock; by 2022 it had more than 100,000 photographers. In 2023 it pivoted: labs were buying libraries and commissioning custom content, so the company became a data provider and let artists opt out of AI use.

What happened

The platform passed 700,000 creators completing data tasks; revenue run rate reached $40M with $15M paid out to contributors; six of the largest foundation-model makers became customers. Teams were retrained for annotation and enterprise sales, and in May 2026 the $23M Series A (Nava Ventures, SBVP, Formula VC, I2BF) closed, taking total funding to about $26M.

How it ended up

Still scaling: 60 employees, hiring in research/engineering/product, building enterprise collaboration software for labs, exploring audio and music modalities; AI licensing drove 20x YoY growth in creator payouts.

Background

Wirestock started as a distribution platform that helped photographers sell their work on stock services like Shutterstock. In 2023 it pivoted: instead of only monetizing downloads, it began building and selling curated multimodal datasets — images, video, design assets, 3D and gaming content — to AI labs that need licensed, human-made training data rather than scraped content.

The bet is that creative marketplaces are sitting on a data gold mine, and that creators will feed that supply chain if they are paid fairly, told where their work goes, and allowed to opt out. The platform grew to more than 700,000 artists and designers completing data tasks, reached a $40M annual run rate, paid out $15M to contributors, and signed six of the largest foundation-model makers as customers.

In May 2026 Wirestock closed a $23M Series A led by Nava Ventures with SBVP (co-founded by Sheryl Sandberg), Formula VC and I2BF Global Ventures, bringing total funding to about $26M. The 60-person company is hiring for research, engineering and product, building enterprise software for labs to collaborate on datasets, and exploring audio and music modalities.

What has to be true

  • Turning existing creators into a data supply chain gave Wirestock a sourcing and curation asset no new entrant could quickly copy.
  • Transparency, opt-out and payouts turned a potentially hostile audience into willing suppliers, avoiding the reputational fights scraped-data rivals face.
  • Focusing on creative-use-case data (image and video generation) positioned it inside the fastest-growing slice of AI training demand.
  • The pivot from pennies-per-download stock distribution to dataset deals moved the business from commodity pricing to contract economics.

What can be applied

When your library becomes a new market's raw material, pivot the model instead of defending the old one — transparency, opt-out and payouts turned existing creators into the supply chain.

Aftermath

As of the 2026-05-15 announcement, Wirestock is scaling its AI data business: 60 employees, plans to hire for research, engineering and product, enterprise collaboration software for AI labs in development, and expansion into audio and music modalities. Creator payouts grew 20x year over year under the AI licensing model, and the company says it serves six of the largest foundation-model makers without naming them. It competes with Surge, Scale AI and Mercor for data contracts, and with newer startups such as Micro1, Human Archive and Human Native AI.

Sources

spotted an error? The archive wants to know.

Your turn

You just read one. Describe what you are building, and see who is betting on the same thing.

Free account · 3 free questions · no card

Related cases