SOMA is an advanced research automation platform designed to streamline the analysis of publicly available medical research articles. By leveraging sophisticated algorithms, it extracts vital concepts and determines causal relationships within the data. This ensures that users can efficiently navigate through the vast amount of information, saving time and enhancing the accuracy of their research. Ideal for researchers, educators, and medical professionals, SOMA provides a comprehensive solution for managing and interpreting complex scientific data.

Allotropy provides a unified data management framework for laboratories, centralizing disparate data sources and standardizing experimental parameters. By utilizing adaptable data formats, it empowers scientists and researchers to minimize human error and maximize the reliability of their data. With its focus on integrating various laboratory techniques, Allotropy ensures that all relevant information is easily accessible and manageable, ultimately facilitating better decision-making processes.