Speed up the rate of experimental production using AI to complement datasets
Our proven studies demonstrate that a cost reduction of 85% can be achieved in both human time and expensive machine resources when armed with right tools.
The Materials Zone tools include big data harvesting, model training, and evaluation. Data is the core asset in any research lab or consortium project but through your fabrication and characterization in materials together we provide predictions to ensure you are not left behind in this informatics world.
API or parsers to novel data that was never published
MaterialsZone offers an electronic lab notebook that harvests data directly from machines. The e-notebook standardizes documentation procedures, eases information exchange between collaborators, and provides the foundation for future data-centric scientific investigations.
Comparing properties, compounds and materials science with similar experiments within an ML environment is the tools we provide. Our group of data scientists have developed technology that helps companies reduce R&D cost by providing statistical insights into the materials discovery and experimental design process.