Shloke Patel is Co-Founder at Human Archive, a multimodal data provider for robotics learning that collects and labels real-world datasets to train foundation models for embodied intelligence. The company is part of Y Combinator's Winter 2026 batch and operates in San Francisco with a team of 4 founders.

Shloke studied engineering and math at Stanford University, where he conducted research in human-computer interaction and published papers at the CHI Conference on Human Factors in Computing Systems. He dropped out of Stanford along with his co-founders to move to Asia and build the world's largest annotated multimodal dataset for robotics.

The founding team has deep expertise in biomimicry and its application to humanoid systems, designing custom hardware deployed across residential and manufacturing environments. Human Archive works alongside frontier robotics labs and foundation model research groups to unlock step-function gains in model capability.

Human Archive raised $500K in a convertible note round from Y Combinator and is building infrastructure to reshape physical labor markets. The company deploys custom hardware to gather real-world data that undergoes quality assurance, anonymization, and annotation pipelines.

Human Archive serves frontier labs developing robotics foundation models and general-purpose robotics companies with high-fidelity datasets at scale. The company operates at extreme speed, taking on conventionally impossible problems that directly impact VLA model capabilities and the future deployment of capable humanoids.