Tools, Data & Consulting Services for A.I.-Driven Materials Design
Tools
- Automated machine learning modeling
- Analysis of data structure and features
- Optimization of processing procedures
- Screening millions of candidate materials
Data
- Materials data repositories
- Custom data ingestion & scraping
- Management services
- Data infrastructure
Consulting
- Domain expertise in materials modeling
- Highly flexible project structure
- Machine learning training
- Build internal machine learning efforts
Schedule a 15-minute introductory consultation with the Aionics team to assess the applicability of materials informatics to your R&D.
Mateo Jaramillo
CEO and Co-Founder, Form EnergyThe Aionics platform enables us to seamlessly implement machine learning models on our in-house data in real time, which brings another layer of rigorous analysis to help identify the chemical features driving performance that we care about most. The automated machine learning model-building and screening workflow also lets us screen hundreds of thousands of candidate materials for our devices in the blink of an eye.
A.I. Approaches Offer Significant Acceleration
Project Structure
Phase 1
Pipeline construction
0-6 months consulting
Phase 2.1
Deployment & Training
1 week
Phase 2.2
Potential Consulting
Development as requested
Phase 3
Supported Deployment
MATLAB-like licensing
We seek to mitigate risk by combining high and low risk deliverables.
Machine learning-based performance predictions are considered high risk;
low risk deliverables include data management, candidate material scraping, historical data analysis.
Our customers & partners
