AI training data provider Wirestock raises $23M in funding
Wirestock Inc., an AI training data provider, has secured $23 million in funding led by Nava Ventures to expand its multimodal datasets for AI developers, with total funding now reaching $26 million. The company, which pivoted from stock imagery to AI datasets, reports annual revenue exceeding $40 million and plans to hire AI researchers to enhance enterprise collaboration tools for datasets.
Wirestock Inc., a startup specializing in multimodal training datasets for AI developers, has raised $23 million in funding, bringing its total external funding to $26 million. The round was led by early-stage fund Nava Ventures, with participation from SBVP, Formula VC, and I2BF Ventures. Founded in 2018 as a platform for photographers to distribute stock images, Wirestock shifted focus in early 2026 to supplying AI training data, offering over 50 million images and videos from 700,000 users. The company also provides custom datasets, including footage of user interactions with applications, which can be commissioned by startups developing AI tools. For example, a startup with an AI-powered website design tool could use Wirestock’s data to show how to edit interface elements in Figma. Wirestock’s annual revenue surpassed $40 million before the funding round, driven in part by growing industry demand for world models, which rely on visual datasets. World models, trained on large visual datasets, have attracted significant investment. World Labs Inc., led by AI researcher Fei-Fei Li, raised $1 billion in February for robotics applications, while rival AMI Labs secured $1.03 billion to automate hardware engineering tasks. Wirestock’s datasets can also train computer-use models, such as Standard Intelligence’s FDM-1 algorithm, which automates multistep business tasks efficiently. Wirestock plans to use the new funding to hire AI researchers and engineers to develop software enabling enterprise AI labs to collaborate on datasets. The company may also expand beyond images and videos to other types of training data. This funding round follows a $30 million investment in AfterQuery, another AI data provider specializing in AI prompts and reasoning workflows. The surge in AI data startups reflects broader industry trends, with companies investing heavily in datasets to improve model performance and efficiency. Wirestock’s growth positions it as a key player in the expanding AI training data market, supporting both research and enterprise applications.
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