The Asset Guardian EAM (TAG)
The Asset Guardian (TAG) Mobi: Tackle Downtime with TAG Mobi
TAG Mobi is a fully embedded preventive maintenance and asset management (EAM) solution within Microsoft Dynamics 365 Business Central. Designed for modern manufacturing and infrastructure operations, TAG Mobi helps reduce risk, minimize downtime, and streamline maintenance workflows—all from within your existing Business Central environment.
From proactive asset health monitoring and predictive maintenance to real-time mobility and AI-powered adoption tools, TAG Mobi equips maintenance teams with everything they need to boost performance and take control of asset operations.
Key Features:
• Fully embedded in Microsoft Dynamics 365 Business Central
• Real-time mobile access for on-the-go asset tracking
• Predictive maintenance to reduce unplanned downtime
• AI-assisted onboarding for faster adoption
• Advanced APM tools to monitor asset health and anticipate failures
No silos. No extra software. Just a seamless, native experience that empowers maintenance teams and provides managers with the insights they need—right inside Business Central.
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Picafuel
Picafuel, a comprehensive fleet management and issuance system, is leading the charge to revolutionize the fuel retail industry as well as e-mobility. We provide tailored solutions to empower retailers with the ability to deploy fleet cards, manage loyalty points and mobile payments, lower costs, and improve margins. Our offering is more than fleet card management. It serves as a platform that drives innovation across the board. Picafuel allows fuel retailers to unlock unprecedented scalability and customizability, empowering them with the ability to grow their business, embrace innovation, and stay ahead of a rapidly changing market.
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BatteryCycle
BatteryCycle offers an innovative analytics platform dedicated to evaluating battery health, allowing fleets, leasing firms, car dealerships, and insurance companies to quickly determine the condition of electric vehicle batteries without the need for OBD hardware or intricate integrations. Through its web application and API, users receive immediate, data-driven battery health assessments for over 25 brands, enabling connections to more than 90% of market models. The platform enhances remarketing, resale, and risk management by providing estimates of residual values, pinpointing potential usage and degradation threats, and alerting users to battery-related risks as they arise. Additionally, BatteryCycle plays a crucial role in second-life and recycling processes, offering battery recyclers and energy-storage developers valuable insights into the chemistry, capacity, and adaptability of decommissioned EV batteries for alternative uses. With its sophisticated analytics tailored for fleet management, the platform empowers operators to keep track of battery health based on brand, model, and driving habits, thereby facilitating informed decisions regarding the retirement of vehicles. This comprehensive approach not only optimizes battery usage and lifespan but also contributes to environmental sustainability by promoting responsible recycling and repurposing of battery resources.
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AQBioSim
AQBioSim 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 processes of material discovery and optimization. By combining techniques such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQBioSim facilitates highly accurate simulations of molecular and material behaviors in real-world scenarios. Among its numerous features, AQBioSim can predict performance under various stressors, enhance formulation processes through in silico testing, and investigate eco-friendly chemical methods. A standout achievement of AQBioSim lies in its remarkable progress in battery technology, where it has cut the time needed for lithium-ion battery end-of-life predictions by an astonishing 95%, while also attaining 35 times greater accuracy using only 50 times less data. This platform thus not only accelerates material innovation but also significantly contributes to advancements in sustainable energy solutions.
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