SDS Manager
SDS Manager stands out as a leading provider of Safety Data Sheet (SDS) Management solutions, boasting one of the most extensive SDS databases globally, which contains over 14 million Safety Data Sheets available in 25 different languages.
With SDS Manager, employees can conveniently retrieve crucial SDS information directly on their mobile devices by scanning QR code posters placed in areas where chemicals are handled, thereby enhancing both safety measures and adherence to regulatory standards. This intuitive mobile access not only facilitates immediate information retrieval but also fosters a culture of safety within the workplace.
Additionally, our automated data extraction capabilities allow for the effortless integration of SDS files into your library without the need for manual data entry, which greatly enhances accuracy and optimizes the process of SDS management. Your SDS library remains consistently updated, well-organized, and readily accessible, all within a secure cloud environment, ensuring that you are always prepared for audits or emergencies.
Learn more
RaimaDB
RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
Learn more
BioSymetrics
We integrate clinical insights and experimental findings using machine learning methodologies to investigate the complexities of human diseases and advance the field of precision medicine. Our pioneering Contingent AI™ technology adeptly navigates the complex interconnections within the data, resulting in valuable insights. To mitigate biases in our data, we enhance our machine learning algorithms by refining decisions made during the initial stages of data pre-processing and feature engineering. Employing zebrafish, cellular models, and a variety of phenotypic animal models, we validate in silico predictions through rigorous in vivo experimentation, complemented by genetic modifications executed both in vitro and in vivo to facilitate better translation of results. Through the application of active learning and computer vision techniques on validated models concentrating on cardiac, central nervous system, and rare diseases, we efficiently incorporate fresh data into our machine learning systems. This ongoing refinement process not only amplifies the precision of our predictions but also positions us as leaders in the evolving landscape of precision medicine research. By continuously adapting our methodologies, we ensure our work remains relevant and impactful in addressing the challenges posed by human diseases.
Learn more
Schrödinger
Transform the domains of drug development and materials science by employing advanced molecular modeling approaches. Our computational platform, rooted in the principles of physics, offers distinct solutions for predictive modeling, data analysis, and collaborative efforts, enabling efficient exploration of chemical space. This state-of-the-art platform is utilized by top industries worldwide, supporting drug discovery projects and materials science endeavors in diverse fields such as aerospace, energy, semiconductors, and electronic displays. It propels our internal drug discovery initiatives, managing the entire process from identifying targets to discovering hits and optimizing leads. Moreover, it boosts our collaborative research aimed at developing innovative medicines to tackle major public health issues. With a dedicated team comprising over 150 Ph.D. scientists, we invest considerable resources into research and development. Our impact on the scientific community is highlighted by over 400 peer-reviewed publications that demonstrate the effectiveness of our physics-based approaches, ensuring we remain leaders in the evolution of computational modeling techniques. We are unwavering in our commitment to pioneering advancements and broadening the horizons of our industry while fostering partnerships that amplify our research capabilities.
Learn more
