Sureform

Sureform is a data platform that supplies AI teams with real-world multimodal human data—including video, audio, depth, and IMU streams—for post-training datasets and reinforcement learning environments. The company says its datasets are grounded in real enterprise workflows, which is what makes them useful for advancing frontier agents that operate in the physical world. Rather than simulating scenarios, Sureform taps into a network of human participants who perform tasks in diverse environments, so your models see how people actually move, manipulate objects, and navigate spaces. The platform is built for teams training multimodal and embodied AI—think robots, autonomous vehicles, and digital assistants. You can design custom data collection tasks, specify environments and demographics, and get anonymized outputs with fast turnaround. Sureform manages the participant network, data collection logistics, and quality control, using human review and automated checks to keep data consistent. The emphasis is on sequential sensorimotor data: the kind of step-by-step human demonstrations that help close the gap between simulation and the messiness of reality. Sureform has developed environments for frontier AI, positioning itself as a partner for post-training and RL workflows rather than a simple annotation service. It is backed by investors and is currently invite-only, so you'll need to talk to the team to get access, pricing, and volumes tailored to your needs. This is not a self-serve marketplace—expect a direct sales conversation to scope your project. Where Sureform differs from synthetic-data shops is its commitment to authentic human demonstrations captured in the real world. If your AI needs to understand how people handle tools, navigate spaces, or interact with objects, this is a source of ground-truth data that simulation can't always replicate. It's best suited for research and development teams at robotics companies, autonomous vehicle developers, and embodied AI startups.