Wirestock, a global platform sourcing multimodal data from creators, has raised $23M in Series A funding led by Nava Ventures. The company supplies ethically sourced images, videos, vectors, and illustrations to AI labs for model training. The capital will expand research and product teams to build enterprise tools for creative data generation.
Licensed Data Shift Accelerates
The raise aligns with AI labs shifting to licensed datasets amid data scarcity warnings. Shutterstock expanded its AI training datasets in March 2026, validating demand for creative content. Wirestock's pivot from stock distribution to custom AI datasets positions it to capture this trend, supplying six major foundation model labs.
Scraped Data Risks Mount
Generative AI models require diverse, high-quality multimodal data, but scraped web content raises copyright issues. Researchers predict data exhaustion for training by 2026 if trends continue. Platforms like Wirestock address this with consent-based licensing from 700K+ creators, ensuring ethical sourcing and fair compensation.
Creator Pivot Enables Scale
Wirestock evolved from a stock photo distributor in 2019 to an AI data provider by 2023. It offers ready datasets like Pride in Focus and custom solutions tailored to AI needs. Over 50M assets available, with 10M+ licensed for AI training, and $15M paid to contributors.
As Mikayel Khachatryan, CEO, noted:
"Initially, a lot of our deals were just selling what we had off the shelf… But then it turned into a lot of custom requests."
This shift drove annual run-rate revenue to $40M.
Investors Back Ethical Moat
Nava Ventures led, with Sandberg Bernthal Venture Partners, Formula VC, and I2BF Global Ventures. Nava's AI data portfolio, including Hydrolix and OpenStudio, signals conviction in Wirestock's creator network. Formula VC, an early backer since 2023, leverages Armenia's AI ecosystem. SBVP brings Meta-scale networks via Sheryl Sandberg; I2BF adds unicorn experience from Miro and Deel.
Freddie Martignetti of Nava Ventures noted:
"Wirestock has a deep understanding of what foundational models… need in terms of multimodal data."
Multimodal Market Explodes
The AI training dataset market stands at $3.91B in 2026, projected to reach $23.18B by 2034 at 26% CAGR per Grand View Research. Demand surges for video and 3D content to train world models understanding physics and causality. Wirestock's 1M+ monthly new assets fill gaps in authentic visuals.
Data Exhaustion Drives Licensing
External pressures like Getty's lawsuits against Stability AI push labs toward licensed sources. Shutterstock's expansion underscores incumbents entering, but Wirestock differentiates via freelance creators over stock libraries. Total funding now reaches ~$26M, fueling growth in a space where ethical data builds legal moats.
Research Teams Set to Expand
Wirestock plans to hire for research and product teams, developing tools for AI labs in image and video generation. Partnerships like OpenAI's Sora challenge highlight creator engagement. Enterprise software will enhance dataset curation and matching.