Wirestock Secures $23 Million Series A as It Pivots to Multimodal AI Training Data

Wirestock completed a strategic pivot this week from stock photo distribution to supplying multimodal training data for AI labs, backed by a $23 million Series A round led by Nava Ventures. The company now aggregates images, video, design assets, gaming content, 3D data, and music for six major foundation model developers, positioning itself as an AI infrastructure provider.

Wirestock’s network has grown to more than 700,000 creators who perform structured tasks to generate and refine high-quality, rights-cleared datasets. Management reports an annual revenue run rate above $40 million and says creator payouts have increased 20x year over year, with a total of $15 million distributed so far.

The new capital, which brings total funding to about $26 million, will fund research, engineering, product development, and enterprise sales, as well as collaboration tools that let AI labs define and iterate on datasets directly. Wirestock is also retraining internal teams to meet hyperscale customers’ annotation and quality standards and is exploring expansion into audio and music data.

Operating with a 60-person team, the company uses a mix of AI and human review to validate contributor output and relies on email marketing and referrals to onboard new creators. Investors highlight Wirestock’s understanding of the data needs of large AI models, and the firm aims to secure recurring enterprise relationships as AI labs increasingly outsource data procurement.

In a market that includes data-centric players such as Scale AI and other human-in-the-loop providers, Wirestock is betting that its focus on specialized creative datasets and transparent creator monetization will provide defensible positioning. Overall, the week marked a significant funding and strategic milestone for the company as it deepens its role in the AI training pipeline.