Real-world data for multimodal and embodied AI
Multimodal AI and robotics teams lack high-quality real-world human interaction data needed to train and evaluate next-generation models.
Sureform collects and provides high-quality real-world human data across diverse interactions and environments for training multimodal and embodied AI systems.
Multimodal AI and robotics model developers at AI labs and enterprises use this data to build and improve their systems.
Founder, CEO @ Sureform | Previously: Penn, Google




