
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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Revaly helps subscription and recurring-revenue businesses stop losing money to failed transactions by transforming payment systems into revenue engines. Its AI-driven payment intelligence evaluates issuer signals and network behavior in real time to keep legitimate payments from failing. Instead of letting small errors or timing issues derail a customer’s purchase, Revaly corrects problems proactively before the user hits “pay.” When a payment does decline, the platform automatically determines the best moment and method to retry, using behavioral science to protect customer trust. Companies using Revaly see major increases in recovered revenue, improved profitability, and significantly reduced involuntary churn. The platform integrates with more than 100 billing, CRM, and payment tools, eliminating the need for operational changes. Performance metrics across retail, software, and media industries consistently show double-digit recovery improvements. Ultimately, Revaly gives businesses a predictable, scalable way to grow by ensuring their earned revenue successfully processes.
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GeoStreamer
The Multisensor GeoStreamer serves as an exceptional solution for achieving broadband imaging. By employing deep towing techniques, it effectively mitigates the influence of weather conditions, thereby enhancing the efficiency of data acquisition. The signals captured are largely unaffected by fluctuations in towing depth or variations at the sea surface, which significantly minimizes non-repeatable noise during reservoir monitoring endeavors. Additionally, the pre-stack amplitude and phase maintain consistency in relation to both angle and frequency. Its robust low-frequency signal greatly facilitates Full Waveform Inversion (FWI), thereby boosting the precision of predicting subsurface properties. The separation of multisensor wavefields allows for improved illumination of shallow structures. Moreover, near-surface images that are not influenced by the acquisition footprint can be utilized for independent interpretation. The enhanced broadband resolution of stratigraphy aids in detecting minor time shifts associated with changes in reservoir saturation and pressure, which is crucial for monitoring projects. Furthermore, GeoStreamer incorporates both hydrophones and velocity sensors to effectively eliminate all free-surface ghost reflections, further enhancing data quality and reliability. This innovative approach ensures that the information gathered is not only accurate but also highly valuable for informed decision-making in resource management.
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RadExPro
The assessment of various quality control attributes across different windows, along with their combinations, is crucial for effective data analysis. This includes interactive maps for common source/common receiver/CMP attributes, a CMP fold map, and a location map, all of which are fully synchronized with each other and the seismic display; the active template is emphasized, highlighting the SP, RP, and CMP of the trace currently under observation. Real-time quality control enables immediate monitoring of data quality as it is being collected, allowing for prompt decision-making and resolution of any issues. A comprehensive suite of industry-standard algorithms is available for thorough data processing, which includes processes such as vibroseis correlation, trace editing, band-pass and FK filtering, Radon transforms, FX and FXY deconvolutions, TFD noise reduction, amplitude corrections, deconvolutions, interactive velocity assessments, statics adjustments, NMO corrections, regularization, stacking, and both pre-stack and post-stack time migrations. By utilizing these advanced tools, data integrity and accuracy can be significantly enhanced throughout the entire seismic data processing workflow.
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