A Platform to Accelerate Innovation
What is the NobleAI Reactor Platform?
A powerful software based platform, that when combined with NobleAI’s unique approach to Science-Based AI, delivers proven commercial solutions for chemicals & materials products.
Multi Scale Physics
Account for real-world behavior from molecular properties to environmental effects and everything in between
Explainable AI
Understand and have confidence in the AI's predictions through transparent explanations, metrics and visualizations
Constrained Optimization
Generate results that are physically possible and fit your design constraints
Inverse Design
Automatically search the design space to achieve your desired outcomes
Science-Infused ML Models
Build AI models that understand the scientific laws and principles inherent in your design
Customer Experiences
Outpace Competitors
One company was facing stiff competition when a rival introduced a new product directly targeting one of their key business areas. To respond quickly, the company turned to the NobleAI Reactor Platform to identify a preferable alternative. Within a couple of months, the Platform had helped the company identify their target formulation and bring their new product to market, outpacing their competitors and securing their position in the market.
Streamline Sustainability
Reformulating a product to meet new sustainability standards often involves a significant investment of time and money. The NobleAI Reactor Platform can streamline this process by quickly analyzing existing ingredients and identifying potential replacements. Then, rapidly test different combinations of ingredients to identify a sustainable alternative that maintains the same performance as the original product.
Build Resilient, Agile Supply Chains
For any business, having a resilient and agile supply chain is crucial to staying competitive and ensuring business continuity. One manufacturer turned to NobleAI to help them qualify raw materials and new suppliers. Within a couple of months, the NobleAI team trained a Science-Infused Machine Learning Model (SIML) to identify the key characteristics of high-quality raw materials and to flag any potential issues with new suppliers.
