SDS Manager is a premier provider of SDS Management solutions, featuring one of the world’s largest SDS databases with over 14 million Safety Data Sheets in 25 languages.
With SDS Manager, employees can access essential SDS information directly from their mobile devices by simply scanning QR code posters in work areas where chemicals are used. This seamless mobile access promotes both safety and regulatory compliance.
Our automated data extraction feature lets you effortlessly add SDS files to your library without any manual typing, significantly improving accuracy and streamlining SDS management. Keep your SDS library updated, organized, and ready for quick access in a secure cloud environment.
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Redlist is a reliability centered maintenance platform built for industrial teams that need more from their CMMS. Where traditional maintenance software stops at the work order, Redlist continues to the shop floor, tracking every lubrication point, inspection task, and operator action.
The platform runs on web, iOS, and Android with full offline functionality, purpose-built for technicians in plants, mines, and refineries where connectivity is unreliable.
Lubrication Management
Redlist manages lubrication at the individual point level, assigning the correct lubricant, volume, and frequency to every grease fitting, oil drain, and sample port. Routes are executed digitally, replacing paper-based systems and eliminating the pencil-whipping that hides missed tasks. Oil analysis results from labs integrate directly so technicians see condition data alongside their route.
CMMS and Asset Management
Manage assets from the enterprise level down to individual components. Create work orders, build PM templates, track parts inventory, and schedule predictive maintenance. Connects to existing ERP and CMMS systems including SAP, Oracle EAM, JDE, and Maximo, bridging the gap between enterprise software and field execution.
Operator Basic Care
Enable frontline operators to perform guided daily inspections and basic maintenance tasks, building a digital record of institutional knowledge that would otherwise be lost when experienced technicians retire.
AI Agents
Nine purpose-built agents for FMEA analysis, RCM-based PM development, oil analysis interpretation, vibration diagnostics, and lubrication optimization.
Serving mining, oil and gas, chemical processing, food and beverage, packaging, paper and corrugated, and manufacturing. Deployed under 100 days.
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Schrödinger
Revolutionize the fields of drug discovery and materials research through cutting-edge molecular modeling techniques. Our computational platform, grounded in physics, combines unique solutions for predictive modeling, data analysis, and collaboration, facilitating swift navigation of chemical space. This innovative platform is employed by leading industries globally, serving both drug discovery initiatives and materials science applications across various sectors including aerospace, energy, semiconductors, and electronic displays. It drives our internal drug discovery projects, overseeing processes from target identification through hit discovery and lead optimization. Additionally, it enhances our collaborative research efforts aimed at creating groundbreaking medicines to address significant public health challenges. With a dedicated team of over 150 Ph.D. scientists, we commit substantial resources to research and development. Our contributions to the scientific community include more than 400 peer-reviewed publications that validate the efficacy of our physics-based methodologies, and we remain at the forefront of advancing computational modeling techniques. We are steadfast in our mission to innovate and expand the possibilities within our field.
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AQChemSim
AQChemSim is an innovative cloud-based platform created by SandboxAQ that utilizes Large Quantitative Models (LQMs) based on principles of physics and chemistry to transform the landscape of materials discovery and enhancement. By incorporating techniques such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim facilitates precise simulations of molecular and material dynamics in real-world scenarios. The platform's features allow it to forecast performance under diverse stress conditions, expedite formulation via in silico testing, and investigate eco-friendly chemical processes. Remarkably, AQChemSim has achieved notable progress in battery technology, cutting the prediction time for lithium-ion battery end-of-life by 95%, while also attaining 35 times greater accuracy with a mere fraction of the data previously required. This advancement not only streamlines research but also paves the way for more efficient and sustainable energy solutions in the future.
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