Gcatalysis
GreenCat is a catalyst discovery and optimization platform that uses physics and mathematics-driven algorithms to screen the entire periodic table for novel catalyst formulations. Unlike traditional trial-and-error or AI-based incremental improvement methods, GreenCat's zero-data discovery approach identifies patentable catalyst options with little to no prior experimental data. The platform has demonstrated a 40% efficiency gain in green hydrogen production by screening 35,000 alloy candidates for the Oxygen Evolution Reaction.
- Artificial Intelligence
- Chemical Technology
- New Materials
- Software Only
Funding
Founders
Product
Problem
Traditional catalyst discovery relies on slow, trial-and-error experimental methods or incremental improvements to existing catalysts, often taking years and yielding only marginal gains. Even at the largest chemical firms with substantial R&D budgets, catalysts have barely changed over the last century, limiting energy efficiency, carbon intensity, and operating costs across hydrogen production, carbon capture, and pharmaceutical manufacturing.
Solution
GreenCat provides a catalyst discovery and optimization platform that applies fundamental physics and mathematics-driven algorithms to identify novel catalyst formulations in a fraction of the time compared to traditional methods. The platform screens the entire periodic table for unknown catalyst options using a proprietary global descriptor approach, requiring little to no prior experimental data. GreenCat begins by establishing comprehensive reaction networks for a given reaction system, then uses hypothetical catalyst reaction energy optimization to identify performance-determining descriptors, and finally performs descriptor-based screening with scaling relations and prediction models. The process culminates in activity comparisons and selection of final catalyst formulations engineered for stability and resistance to catalyst poisons, enabling step-change improvements rather than incremental gains.
Target Audience
Primary customers are catalyst manufacturers, pharmaceutical companies, and chemical companies across various functions and reactions, particularly those in the hydrogen economy, carbon capture and utilization, and fine chemical manufacturing sectors seeking to improve energy efficiency and reduce operating costs.
Features
- Limitless search capability that screens the entire periodic table for unknown catalyst options, unlike traditional methods limited to existing knowledge
- Zero-data discovery algorithm that works with little to no prior experimental data, eliminating the need for vast quantities of IP data
- Simulation-first approach allowing testing of hundreds of formulations before entering the lab, accelerating the discovery timeline
- Comprehensive reaction network establishment for each reaction system, ensuring all possible chemical transformation paths are accounted for before screening
- Descriptor-based screening using scaling relations and prediction models to identify specific performance-determining characteristics
- Transferable partial reaction network for activity comparisons that "sense checks" novel candidates for practical relevance and operational compatibility
- Final catalyst formulations engineered for exceptional stability and resistance to catalyst poisons for extended lifespans in continuous industrial systems