platoseedplatoseed
Real-world data for multimodal and embodied AI
We collect high-quality human data, across diverse interactions and environments, to help advance the next generation of multimodal AI and robotics models.
Sureform collects high-quality multimodal human data across diverse interactions and environments to advance multimodal and embodied AI. Their focus is on real-world data to help build AI models that interact more naturally with the world.
Sureform gathers real-world, multimodal human data (starting with video) to support development of AI models that operate in physical or embodied contexts. The product involves collecting diverse interactions and environments data to train and improve multimodal and embodied AI systems.
Who it’s for: Researchers and organizations building multimodal and embodied AI models requiring real-world human data
Building the platform to acquire task-specific robotics data at scale
Sureform builds a platform that connects workplaces (hotels, warehouses, restaurants) with robotics labs to collect task-specific training data. It captures synchronized video, audio, pose, depth, and tactile data from employees wearing sensors, delivering structured, ready-to-use data for world models and robot foundation models.
Formerly “Valora”, “Daxa” · why startups rename →
Multimodal data provider for robotics and world modeling
Audio and Enterprise Human Data for AI
