Wirestock Raises $23M as It Pivots from Stock Photos to Supplying Multimodal AI Training Data

New updates have been reported about Wirestock.

Wirestock has completed a strategic pivot from a stock photo distribution platform to a data supplier for AI labs, and has secured $23 million in Series A funding to scale this new model. The company now aggregates and curates multimodal datasets—spanning images, video, design assets, gaming content, and 3D data—for six major foundation model developers, positioning itself squarely in the AI infrastructure value chain.

The business now relies on a network of more than 700,000 artists and designers who execute structured tasks to generate and refine training data, with Wirestock reporting an annual revenue run rate of $40 million and $15 million paid out to contributors so far. The company previously focused on routing photographers’ work to stock marketplaces but, after a transparent opt-in process, shifted the majority of its contributor base into AI data provision, while simultaneously retraining internal teams to annotate and label content at the level required by hyperscale AI customers.

The latest financing round is led by Nava Ventures, with participation from SBVP, Formula VC, and I2BF Ventures, bringing Wirestock’s total capital raised to about $26 million and funding expansions in research, engineering, product, and enterprise sales. Management is also investing in software tools that let AI labs collaborate directly on dataset definition, quality control, and iteration, aiming to lock in deeper, recurring enterprise relationships.

Demand for high-quality multimodal data has surged as AI companies seek differentiated, rights-cleared content to improve model performance, and Wirestock’s focus is on creative use cases like image and video generation, with exploration into audio and music underway. Operating with a 60-person team, the company uses a combination of AI and human review to vet contributor output and relies on email marketing and referrals for supply acquisition, while targeting further growth as AI labs increasingly outsource data procurement and refinement.

Although Wirestock’s CEO, Mikayel Khachatryan, has not disclosed the names of its foundation model customers, investors highlight the company’s understanding of what hyperscalers require to build more capable, real-world-task-oriented systems. Against a backdrop of rapid growth for data-centric firms such as Scale AI and newer entrants in the human-in-the-loop data market, Wirestock is betting that specialized creative datasets and enterprise-grade collaboration tools will give it defensible positioning and sustained monetization potential in the AI training pipeline.