
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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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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alvaBuilder
alvaBuilder is an innovative molecular design software that facilitates the creation of new chemical structures tailored to specific user-defined criteria, including structural, physicochemical, and modeling parameters. This tool allows for the generation of entirely new molecules from the ground up or the modification of existing ones through fragment-based and rule-driven methodologies.
Moreover, alvaBuilder harmonizes with QSAR/QSPR workflows, empowering users to influence the molecular generation process through predictive models, ranges of descriptors, and targeted properties. This software is particularly beneficial for medicinal chemistry, lead optimization, and virtual screening endeavors, efficiently navigating chemical space while ensuring both chemical viability and interpretability.
Designed for both research and industrial purposes, alvaBuilder is an essential resource for scenarios requiring molecular generation that is transparent, controllable, and reproducible, making it a valuable asset in the field of drug discovery. By providing these capabilities, it enhances the potential for innovative solutions in chemical research and development.
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Alchemite
Alchemite specializes in AI-enhanced physical modeling and offers solutions that assist organizations in deriving actionable insights from both experimental and simulation data, merging machine learning techniques with physics-informed models to enhance prediction accuracy, decrease experimental expenses, and streamline product and process development. Their offerings encompass a variety of domains, including materials discovery and design, predictive modeling for performance and reliability, multiscale modeling that bridges atomic and macroscopic behavior, as well as the automation of various workflow tasks such as data integration, surrogate modeling, and model validation. Furthermore, they advocate for physics-aware neural networks and hybrid modeling strategies that adhere to fundamental scientific principles while simultaneously learning from data, leading to quicker and more precise simulations, a diminished need for costly physical testing, and better-informed decision-making processes. Intellegens' tools find applications in various fields, including the prediction of battery performance and optimization of chemical processes, showcasing their versatility and effectiveness in addressing complex challenges. By integrating advanced computational methodologies, Alchemite aims to empower organizations to innovate and achieve their goals more efficiently.
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