Empowering embodied reasoning models with precision pointing, relational logic, and physical intelligence.
Pointing is not just a gesture; it is the bedrock of how AI interacts with the physical world, evolving with each generation of our embodied reasoning models.
Achieving sub-pixel precision in object localization across cluttered and dynamic environments.
Understanding comparative and directional relationships between objects in a shared spatial context.
Planning kinematic trajectories and predicting optimal interaction geometries for robotic end-effectors.
Executing contextually-filtered spatial commands under complex physical and semantic constraints.
A collective of scientists and engineers with deep roots in AI research and a track record of deploying systems that perform in the real world, not just in benchmarks.
Extensive experience across data science, human-computer interaction, simulation, and optimization.
Applied deep RL to real-life problems and daily-activity automation, from theory to deployed systems.
Hands-on experience at leading tech innovators including Tesla, bringing rigorous engineering discipline to every layer of our stack.
Driven by a single mission: making AI dependable across every application and advancing a safer, more capable future.
We are a group of experts with serious experience in data science and AI, spanning human-computer interaction, simulation, optimization, and deep reinforcement learning across a wide range of real-world applications. We are passionate about empowering teams to build AI they can trust, and leading the charge toward a better, safer future.
Join a select cohort of researchers and developers pushing the boundary of embodied AI. API access, whitepaper, and research collaboration.