Combining data-driven insights with theory-guided approaches,
CataX accelerates materials R&D with unparalleled efficiency and scalability.
From sustainable chemistry to high-performance catalysts,
our platform has delivered proven success across diverse industries.
Join us as we drive materials research into the next frontier.
Innovation Consultant
Leverages interactive AI to provide on-demand research strategy consultation. It analyzes technical literature, deciphers complex data from documents uploaded and format them into actionable, structured information.
Adaptive Navigator
Utilizes advanced adaptive algorithms to dynamically optimize experimental trial designs. Continuously refining research pathways based on real-time data, it ensures optimal resource allocation and maximizes experimental efficiency.
Insight Transformer
Integrates data-driven methods with theoretical modeling to convert raw experimental data into actionable insights. Combining active learning with physics-based constraints, it delivers real-time analysis and inverse design capabilities, streamlining decision-making and accelerating R&D progress.
Advantages
Accelerate R&D cycles and optimize experimental efficiency through intelligent innovation.
Facilitate digital transformation for enterprises, driving resource optimization and operational excellence.
We provide customized solutions for clients across various industries.
Electrocatalyst Formulation
Combining high-throughput experimentation with machine learning, we refine electrocatalyst compositions by optimizing active site density and support conductivity, our method consistently improves hydrogen production rates.
High-Performance Adhesives
Inverse design epoxy adhesive formulations using machine learning and proprietary N Choose K algorithms. This approach identifies critical parameters and predicts optimal combinations, rapidly meeting multiple target performance requirements with precision.
Heterogeneous Catalyst
Leveraging nanostructured catalyst design, our algorithms analyze and refined through high-throughput screening and data-driven optimization. Optimized alloy catalyst delivers higher turnover frequency and selectivity.
Automotive Components
Our proprietary system integrates real manufacturing data with design simulations. Using CNN-BiLSTM models and temporal attention, it predicts how parameter changes affect car part performance.
Let’s create the future of materials R&D together. Reach out for tailored solutions, platform trials, and a detailed introduction to our innovative capabilities.
