We make materials design just another routine task
We compress millions of compute hours into just a few, unlocking answers with precision to reshape chemical engineering. With our Chembricks platform, simulations aren't just fast — they're transformative. By enabling extremely accurate virtual chemistry and process design, we empower companies to bring breakthrough materials to market faster, at a fraction of the cost.
Traditional Approach
Chembricks AI
Why Materials Matter
Every material around us — from coatings and batteries to semiconductors, plastics, and medicines — is made of molecules. But can a material be commercialized? That depends on its properties, such as stickiness, reactivity to heat or light, solubility, and how its molecules interact.
The massive computational efficiency enabled by our Chembricks platform lets us predict these properties in silico, before building materials in the lab — dramatically reducing costs and accelerating time to market.
The Core Challenges
Costly Development
$20M-200M per new material
Time-consuming
5-15 years development cycles
Unique Problems
Every material development is a unique challenge
AI-Powered Digital Twins
Our Chembricks platform creates digital twins for chemical manufacturing by combining AI with physics. This drastically reduces the need for expensive data collection while providing scalable, computational data assets.
Physics-Based AI
Our AI models work with limited data through our physics-based Chembricks approach
Quality Over Quantity
Quality of data is crucial, while large quantities are unnecessary
Digital Twins
Create computational models that accurately represent real-world chemical processes
AI + Physics: The Chembricks
Advantage
Unlike brute-force AI methods that require enormous datasets, our Chembricks platform leverages physics-based models to generate confidential computational data (“Bricks”) that predict large molecules or materials while safeguarding your proprietary information.
- Low computational cost
- Applicable across all areas of chemistry
- Continuous improvement with every new customer
Team
Dr. Jan Weinreich
CEO & Co-founder
I have always been curious about "what binds the world's innermost core together" - physics and chemistry. The true magic happens when we combine these with AI. I am convinced that AI in combination with physics will define the next generation AI company and we will be part of this revolution for the chemical industry and beyond.
Prof. Dr. Anatole von Lilienfeld
Chief Scientist & Co-founder
Renowned researcher in quantum mechanics, statistical mechanics, and AI. Physics, Chemistry, Materials UoT, Ed Clark Chair in Advanced Materials, Vector Institute, Acceleration Consortium.
As chief scientist Anatole gives the long term scientific direction.
Dr. Stefan Heinen
Senior Computational Chemist
Expert in computational chemistry and materials modeling. Likes to be called "Heini". Heini is responsible for creating all physics-based simulations pipelines to create our synthetic data.
Dr. Konstantin Karandashev
Senior Machine Learning Scientist
Leading research in applying ML to chemical data and materials discovery. He is implementing the core of the Chembricks platform - our proprietary AI architecture.
Prof. Dr. Guido Falk von Rudorff
Director R&D
Professor at University of Kassel, Germany. Guido supports the R&D team and ensures that our technology is at the forefront of AI and physics.
Contact Us
Interested in learning how our Chembricks platform can transform your chemical manufacturing process? We're ready to discuss your specific needs.
Our Location
Based in Menlo Park, California