Data Marketplaces & Intermediaries

Wirestock raises $23M Series A to supply multimodal creative data to AI labs

Source: TechCrunch · May 14, 2026

Wirestock's origin story is a useful case study in how quickly the creative-content economy has been restructured around AI training demand. The company started as a straightforward stock-photography distribution platform, helping photographers get their work in front of buyers. In 2023, it pivoted hard toward a different customer entirely: foundation model labs that need multimodal training data — images, video, 3D assets, and gaming content — at a scale and licensing clarity that scraped web data can't provide. That pivot has now been validated with a $23 million Series A, led by Nava Ventures with participation from SBVP (co-founded by Sheryl Sandberg), Formula VC, and I2BF Ventures.

The business model is a direct-to-contributor marketplace: creative professionals — photographers, 3D artists, game asset designers — complete structured data-collection tasks, and Wirestock aggregates and licenses the output to AI labs. Contributors retain the ability to opt out of the data-supply business specifically, distinguishing it from a blanket rights grab. According to the company, the majority of its original base of 100,000+ photographers from the stock-photo era transitioned into the new data-provider model, though an exact conversion number wasn't disclosed.

The scale is real by any measure: over 700,000 artists and designers are now on the platform, the company reports $40 million in annual run-rate revenue, and it has paid out $15 million to contributors to date. Wirestock says it now supplies data to six of the largest foundation model makers, running the operation with a lean team of roughly 60 employees.

For our world of structured interview and hiring-assessment data, Wirestock is a useful reference point even though its content category (visual/creative) is different from ours (human dialogue and reasoning). The underlying business-model pattern is the one worth studying: pay contributors directly, give them an opt-out, and sell licensed, provenance-clean data to a small number of large lab customers at meaningful per-lab volume. It's the same playbook a licensable interview-data business needs to execute well, just applied to a different content type. The fact that a company built on this pattern can raise a $23M round on $40M ARR after only about two years running the new model is a reasonable signal that lab budgets for this category of data are real and growing.

Key Points

• $23M Series A led by Nava Ventures, with SBVP (co-founded by Sheryl Sandberg), Formula VC, and I2BF Ventures participating
• Pivoted in 2023 from stock-photography distribution to supplying multimodal training data (images, video, 3D, gaming assets)
• 700,000+ contributing artists/designers on the platform; contributors can opt out of the data-supply business specifically
• $40M annual run-rate revenue; $15M paid out to contributors to date
• Supplies six of the largest foundation model labs; ~60 employees