Quastify Materials

1M Compute Hours → 1 Hour

We compress millions of compute hours into just a few, unlocking answers with precision to reshape chemical engineering. With our ΦAI 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

100 Scientists

100 Simulations = 1Mcompute hours

100 Experiments

99 Failures

→

Quastify Approach

2 Scientists

10,000 Simulations = 1hour

5 Experiments

1 Success

Why Molecular Properties 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 ΦAI platform lets us predict these properties in silico, before building materials in the lab — dramatically reducing costs and accelerating time to market.

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The Core Challenges

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Costly Development

$20M-200M per new material

⏱️

Time-consuming

5-15 years development cycles

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Unique Problems

Every material development is a unique challenge

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Invaluable Data

Materials and experimental data are crucial for maintaining a competitive edge

AI-Powered Digital Twins

Our ΦAI 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 ΦAI approach

Quality Over Quantity

Quality of data is crucial, while large quantities are unnecessary

Targeted Data

Problem-specific data tailored for materials experimentation and development

Digital Twins

Create computational models that accurately represent real-world chemical processes

AI + Physics: The ΦAI Advantage

Unlike brute-force AI methods that require enormous datasets, our ΦAI platform leverages physics-based models to generate confidential computational data (“Bricks”) that predict large molecules or materials while safeguarding your proprietary information.