A Revolution in Materials R&D
Machine Learning aided Quantum Chemistry Calculations to
Discover, Design, Optimize, and Process
Bespoke High-Performance Alloys
COMPUTATIONAL MATERIALS ENGINEERING
MATERIALS
DISCOVERY
Machine Learning driven Design Space Search
COMPUTATIONAL
MODELLING
Multi-scale modeling of Material Properties
DESIGN
OPTIMIZATION
Use-case-specific material design Optimization
PROCESS
OPTIMIZATION
Thermo-Modeling based Process Optimization.
MATERIALS
HIGH PERFORMANCE
Metallic Glasses, High-Entropy Alloys, and Complex Concentrated Alloys are some of the most durable and highly complex Alloys known to us.
NEW AGE
The materials we work with are highly promising but limited to research labs. We want to bring this innovative material research to the commercial landscape.
SUSTAINABILITY ORIENTED
Our technology is developed in a way to support growing manufacturing technologies like Metal Additive Manufacturing and Metal Injection Molding to reduce wastage.
FOUNDING TEAM
Fazal
Chief Executive Officer
Hons. B.S., Physics
Univ. of Toronto
Expertise: Computational Physics & Machine Learning.
Gurjot
Chief Technology Officer
Ph.D., Mechanical Engineering
Univ. of Toronto
Expertise: Machine Learning, Optimization, Materials Science, Molecular Dynamics, & Computational Chemistry.
Abu
Chief Science Officer
Ph.D., Materials Science
Univ. of Toronto
Expertise: Experimental Materials Science, Computational Materials Engineering, Density Functional Theory, Molecular Dynamics, & CALPHAD.
OUR SUPPORTERS
