Cortex Robot
Building diverse real-world egocentric and robot datasets to accelerate physical intelligence and embodied AI development.
At a Glance
Pricing
Paid
Engagement
Available On
About Cortex Robot
Cortex Robot builds the world's most diverse real-world, real-workplace, and industry-scale egocentric and robot datasets to accelerate progress toward physical intelligence. Backed by Y Combinator, the platform supports frontier labs in developing embodied AI by providing high-quality training data captured from actual work environments.
The platform offers three core services to support AI development:
-
Egocentric Data for Robotics World Models - Captures diverse egocentric data from real workplaces with every frame annotated with hand and body pose, depth, and subtask information, making egocentric video directly usable for robotics applications.
-
Robot Data for Fine-Tuning - Collects robot trajectories directly in real workplaces through a network of industry partners, providing high-quality, embodiment-specific real-world data to fine-tune foundation models.
-
Human-in-the-Loop Rollouts and Evals - Supports real-world rollouts with human oversight, capturing recovery data for edge cases and creating a continuous data flywheel where every deployment adds experience that feeds back into training.
To get started with Cortex Robot, interested parties can reach out through the contact form on their website. The platform is designed for frontier AI labs and robotics companies looking to enhance their models with real-world training data. By focusing on actual workplace environments and providing comprehensive annotations, Cortex Robot enables more effective training of embodied AI systems that can operate in diverse real-world conditions.

Community Discussions
Be the first to start a conversation about Cortex Robot
Share your experience with Cortex Robot, ask questions, or help others learn from your insights.
Pricing
Enterprise
Contact for custom enterprise pricing
- Egocentric data for robotics world models
- Robot data for fine-tuning
- Human-in-the-loop rollouts and evals
- Industry partner network access
Capabilities
Key Features
- Egocentric data capture from real workplaces
- Hand and body pose annotations
- Depth annotations
- Subtask annotations
- Robot trajectory collection
- Embodiment-specific real-world data
- Human-in-the-loop rollouts
- Edge case recovery data capture
- Continuous data flywheel
- Industry partner network