Science-Based AI
NobleAI’s Innovative Approach to AI for Science

Solve complex chemicals, materials, and energy problems with our data-efficient Science-Based AI models and cloud-based VIP platform. Develop high-performing, safe, and sustainable products, in software and in minutes.

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Fifth Paradigm of Science: It’s Time For An AI Just for Science

Current Compute Paradigms Don’t Work for Materials & Chemistry

Conventional ML

ML requires enormous amounts of data.
Poor/missing data leads poor/biased outcomes for ML approaches.
ML is error prone and is not OK for science.
Large models (i.e. LLMs) are jack-of-all-trades, master of none.

Traditional Simulation

Simulators rely on mathematical solvers and humans.
Simulators do not handle multiple scales and physical laws well
Solver time/cost increases dramatically with system complexity.
Each simulator cycle is slow and costly.

Physics-Informed NN [PINN]

PINN’s may work on toy problems but are difficult to apply to the real world.
Techniques need to be stitched together to solve the complexity of real-world problems.
PINNs are not easily generalizable.
Real-world problems require enterprise security and scale.

What’s Needed in AI for Science

AI for Science is specialized AI, designed to tackle complex scientific challenges, delivering predictions that are accurate and explainable. Unlike general models trained on broad datasets, it must be grounded in scientific knowledge, ensuring accuracy, security, and real-world impact.