Continual Learning Physical AI for rapidly changing environments
Powered by Scenario-Based Intelligence: Secure, data-efficient Edge AI
Physical environments shift endlessly
Current AI doesn't
By the time Physical AI is trained, tested and deployed, the environment it was designed for often no longer exists.
43%
of robotics developers rank environment adaptation as their #1 unsolved challenge
5th International Workshop on Robotics
We empower developers to build, simulate, and automate Physical AI
Small-data / ON-DEVICE
Edge Native AI
SBI is an AI for autonomous decision-making, designed to move the learning mechanism to the edge, adapting continuously on device
Soft-materials / climate aware
Digital Twins
Reinforcement Learning simulators to train robotics and smart facilities. Built to handle the complexity of real-world environments
Climate Control
In complex facilities where conditions change rapidly, performance depends on many interconnected variables. SBI identifies changing conditions in real time and automatically coordinates system controls to reduce energy consumption, improve operational performance, and lower costs.
Real-time control across: HVAC, lighting, CO₂, and other systems
Strategic Partnerships
Leadership
CEO & INVENTOR
Sam Freed
PhD in AI foundations. Led $100M+ projects at IBM and Check Point. Former CEO of IdentiSoft and the inventor of Scenario-Based Intelligence (SBI). AI Lecturer at Weizmann Inst (Current)
CHIEF COMMERCIAL OFFICER
Yoav Goldenberg
Leading all commercialization, partnerships, and capital strategy — taking Mental Engines from technology to deployment to scale. Former Co-Founder & CEO of ZenDay.ai.
CHIEF TECHNOLOGY OFFICER
Israel Levin
4x CTO. Scaled 1K+ servers, 20B daily queries (Crossrider).
Early Colored Coins contributor with Vitalik Buterin
STRATEGIC PARTNERSHIPS
Mehul Kamdar
Led $6B VA project financing. Expert in taking academic patents and turning them in to a lucrative Business. Strong VC network
and institutional connections.