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Mental Engines

The Intelligence layer for rapidly changing  physical enviorments

Powered by Scenario-Based Intelligence: Secure, data-efficient Edge AI

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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. Triggering a costly retraining loop: More data, compute, energy and manpower

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

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Small-data / ON-DEVICE / Secure

Edge Native AI

SBI is an AI for autonomous decision-making, designed to move the learning mechanism to the edge — adapting continuously, on device

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Soft-materials / climate aware /

Digital Twins

Reinforcement Learning simulators to train robotics and smart facilities. Built to handle the complexity of real-world environments

Working where energy and connectivity
costs are highest 

No upfront cost. You pay when you save

Climate Control

In commercial greenhouses, climate control accounts for 60–80% of total electricity consumption. SBI identifies scenarios in the enviorments and automates a wide numbner variables in real-time to reduce energy and deliver higher yields at lower costs.

Heating / Cooling / Humidity / CO₂ / Lighting

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Drone Over Forest

Autonomous Decision Making

SBI lets autonomous systems decide in changing field conditions—from autonomus robotics to smart facilities . SBI runs on the device, where the work happens, ensuring split-second reliability without cloud dependency.

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Predictive maintenance

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SBI learns the unique operational signature of every robot or facility. SBI identifies precursors to failure ahead of time, enabling maintenance action before downtime occurs. 

Sensor feedback / enviormental conditions /

Technician Reports

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Strategic Partnerships

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Leadership

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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)

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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.

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CHIEF TECHNOLOGY OFFICER

Israel Levin

4x CTO. Scaled 1K+ servers, 20B daily queries (Crossrider).
Early Colored Coins contributor with Vitalik Buterin

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STRATEGIC PARTNERSHIPS

Mehul Kmadar

Led $6B VA project financing. Expert in taking academic patents and turning them in to a lucrative Business. Strong VC network
and institutional connections.

To explore a pilot project, partnership, investment, or a role on the team,  contact us!

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