According to a recent LinkedIn post from OneForma, the company is promoting “Project Humus,” a paid video data collection initiative focused on identical twins and closely resembling same‑gender siblings in select U.S. cities. The post describes a 2–3 hour recorded session, conducted onsite or remotely, involving guided reading, conversation, and everyday movements.
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The post suggests that OneForma sees high value in rare biometric and facial-similarity data for training what it describes as more “meaningful” AI systems. By emphasizing responsible AI research and compensating participants at a fixed rate, the initiative appears aimed at strengthening OneForma’s data assets, which could enhance its competitive position in AI data services and support future monetization opportunities.
For investors, the activity may indicate continued investment in proprietary datasets tailored to complex recognition and matching use cases. If successfully scaled, such specialized collections could support higher-margin enterprise offerings and deepen relationships with AI developers seeking diverse and high-quality training data.