Material AI
It is a solution that integrates advanced material information technology and platforms, aimed at assisting companies in adopting intelligent research and development design thinking and technology.
Products Introduction
The Materials AI Solution provides a new approach to material research and development, accelerating traditional intuitive R&D decisions through data-driven methods, promoting more efficient, accurate, and higher-quality material designs.
Service Goals
- Provide an integrated solution of data, platform and research and development.
- Accelerate the innovation and high quality of customers' products.
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Help enterprises shorten the time to market for products and enhance market competitiveness.
Software positioning
- Integrate artificial intelligence and materials science, and achieve research and development innovation through a data-driven approach.
- Target customers include higher research institutions, material production enterprises and other industries involved in material development.
Purpose
- Promote the development of new materials, environmental sustainability and the effective use of resources.
- Integrate AI technology to improve product creativity and industrial competitiveness.
- Improve the industry to bring more long-term economic benefits and social value.
Why Choose Material AI ?
Innovation-Driven
CrimsonAI is committed to technological innovation, serving as a technology enabler for the AI ecosystem
Customized Services
Provide customized AI solutions according to customer needs
Strategic Partnerships
Collaborate with industry leaders to advance the progress of materials science
Establish intelligent digital thinking. By integrating advanced machine learning technology and intelligent platforms, we open up innovative approaches for researching and developing new materials. Our solution:
Material research and development services with modular technology
Help customers establish private material prediction models, assist in material composition exploration, performance optimization, and cost reduction. Provide modular technical services for users to independently control and operate.
Material AI Platform
Provides a cloud-based database environment for real-time data visualization, filtering, and grouping, as well as data analysis statistics. Offers model usage through subscription-based on-demand access. Through all-in-one service, software service modules can be flexibly updated and expanded.
Knowledge Extraction
Integrating models, data resources, and knowledge base search functions to extract and analyze the correlation of material composition, processes, structure, characteristics, and performance, analyze material application reliability, establish R&D know-how for companies, and enhance industrial competitiveness.
Model and Data Analysis Modules
For specific fields, providing no-code intuitive model prediction and analysis application modules for users to select models, visualize analysis, and utilize various analysis tools.
Material information research and development service
- Provide customized establishment of prediction models in the material field.
- Provide material formula optimization and new material exploration.
- Provide optimization of experimental processes.
- Provide material reliability and attribution analysis.
- Analyze the correlation among material processing-structure-characteristics-performance.
Material AI platform
- A short description of this great feature.
- Easy to use and intuitive module operation.
- Support model training and deployment.
- Support custom model design.
- Support for material design: composite materials, metals, semiconductors, organics, lithium batteries, ceramics, and other material developments.
- Support for engineering design: process optimization, attribution analysis, reliability analysis, anomaly detection, geometric design, cost optimization.
Stage 1: ML solutions and data platforms
Data collection, exploratory analysis and machine learning models.
- RSC Service
- Data warehouse
- Exploratory data analysis
- Analysis modulus
Stage 2: Data-driven knowledge extraction
Perform knowledge extraction, data cleaning and optimization through high throughput.
- Materials RAG
- Training space
- Reliability/Uncertainty
- Optimizer & high-throughput computing module
Stage 3: Data-enhanced user-centered tools
Reliability analysis, customization of user tools and data/model security.
- Automatic data cleaning module
- User personalized tools
- Model warehouse
Fast Property Prediction
Swiftly determine material attributes using AI
Innovative Material Discovery
Unearth new materials with targeted properties
Reliability Insights
Forecast material longevity and reliability