
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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Qualio is a purpose-built quality and compliance platform for life sciences companies operating in complex, high-stakes regulatory environments. Medical device, SaMD, biotech, and pharma teams use Qualio to replace fragmented eQMS tools, spreadsheets, and consultant-driven audits with a single, validated system that delivers continuous audit and inspection readiness.
Qualio combines a modern eQMS with Compliance Intelligence—an AI-driven layer that continuously evaluates how well real operating data aligns with regulatory requirements. Instead of treating audits as one-off events, teams gain always-on visibility into compliance coverage, risk exposure, and readiness across FDA, ISO, EU MDR, GxP, and software-intensive standards.
Core quality workflows—document control, training, CAPA, change management, supplier quality, and design controls—are directly connected to regulatory obligations and objective evidence. Deep integrations with Jira, Azure DevOps, GitHub, TestRail, and Salesforce automatically capture proof from development and operational systems, eliminating manual evidence gathering and reducing compliance drag on engineering teams.
Compliance Intelligence runs multi-standard gap analysis in under an hour, flags emerging risks before they become findings or 483s, and maps reusable evidence across frameworks to accelerate submissions and market expansion. All insights are explainable and traceable back to specific clauses and internal policies, supporting validation and audit expectations.
The result: audit readiness in weeks instead of months, fewer fire drills, faster launches, and lower long-term compliance cost. Qualio turns compliance from a reactive burden into a predictable, scalable system.
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DF mSafety AI
DF mSafety AI, a cloud-based platform, uses AI/ML and automation for a great user interface and efficiency in Safety Case Management, Neutraceutical, Vaccines and Medical Devices.
DF mSafety AI was built on Datafoundry’s Integrated Cloud Platform – DF Safety 4.0, which supports scalable, secure AI/ML-driven Safety Case and Signal Management. It also includes pre-built connectors for enterprise systems and adheres to industry standards and regulatory requirements.
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Oracle Life Sciences Empirica
Oracle Life Sciences Empirica stands out as the premier solution for identifying, analyzing, and managing safety signals that arise from both pre-market and post-market drugs, biologics, vaccines, devices, and combination products. Oracle consistently invests in research and development to enhance the cutting-edge data-mining algorithms and statistical methods utilized in Empirica. This innovative approach allows for the identification of signals significantly earlier, offering risk insights as much as 7 to 22 months in advance of the typical labeling revision timelines based on a time-indexed benchmark. Safety teams engaged in signal management encounter increasing difficulties, including uncovering concealed signals, evaluating data from extensive big data sets, and improving the safety information available before the onset of clinical trials. To explore how emerging methodologies and technologies, such as artificial intelligence, can effectively tackle these evolving challenges, be sure to read our ebook, which provides valuable insights and practical solutions.
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