According to a recent LinkedIn post from OneForma, the company is recruiting identical twins and closely resembling same-gender biological siblings in select U.S. cities for “Project Humus,” a paid video data collection study. The post indicates participants will take part in a 2–3 hour recorded session, either onsite or remotely, involving guided reading, conversation, and everyday movements.
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The LinkedIn post suggests that the collected video data is intended to train AI systems to be more accurate, inclusive, and “more human,” with a focus on responsible AI research. For investors, this initiative may signal ongoing investment in proprietary data assets and model training pipelines, which could strengthen OneForma’s positioning as an AI data and services provider.
By targeting a specialized cohort such as twins and look-alike siblings, the project may enhance the robustness of facial and behavioral recognition datasets, potentially improving model performance in edge cases. If executed at scale, this type of differentiated dataset could become a competitive advantage, supporting higher-value AI offerings and reinforcing OneForma’s relevance in enterprise AI and data-annotation markets.
The emphasis on paid participation, identity verification, and fluent English speakers in specific U.S. locations also hints at a structured, compliant collection framework that may appeal to clients concerned with data quality and ethics. This could help OneForma attract or retain contracts from large technology and enterprise customers that require responsibly sourced training data for AI products used by millions of end users.