AI for scalableĀ 

robotics applications - a scalable automation solution based on novel electric logistic vehicles and a context- and human-aware software stack.

Challenge & Team

Today's mainstream autonomous robots face a common challenge: downtime due to the robot's poor understanding of the context and human behavior. Drawing on our experience addressing this challenge with top autonomous driving companies and research organizations in Silicon Valley, we aim to fill the market gap for use cases starting to deploy their vehicles in environments with people.


We focus on building a software stack for robots that enables deployment in environments with people and a significantly higher level of autonomy by adapting to changing environmental contexts and predicting human behavior. The core technology is based on foundational models (gen AI) for human behavior prediction and context reasoning.


We're anticipating POCs and commercial launches in the near future with the world's leading companies in their spaces.