QualityWise.ai
The world’s first AI-enabled platform designed to
augment quality management decision-making
QualityWise.ai provides powerful, AI-augmented quality processes, unlocking the value of operational data to augment decisions. QualityWise.ai applies natural language processing (NLP) and machine learning (ML) throughout the QMS to improve signal detection, increase operational efficiency and ensure patient safety.
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QualityWise.ai IIoT
Unleash the power of operational data from the manufacturing shop floor. -
QualityWise.ai Autocategorization
Powerful, AI-assisted recommendations to automatically classify, categorize and streamline complaints triage, quality event handling and complaint intake. -
QualityWise.ai Insights
Enhancing quality-related decision-making capabilities, providing a shift from reactive to proactive quality.
QualityWise.ai Enables Proactive Quality
Improved quality performance leverages advanced digital technologies to augment decision making to enable the shift from reactive to proactive quality management.
Combine best practices with the latest technologies to bring a new “current” to Good Manufacturing Practices.
QualityWise.ai brings efficiency and effectiveness into quality processes that impact all levels of the organization.
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QualityWise.ai FAQs
Leveraging industry-leading AI capabilities from Amazon Web Services (AWS) and AWS SageMaker, the TrackWise Digital QualityWise.ai technology stack and algorithms are purpose-built for quality, and support the use of GxP compliant data. For more information, contact an account executive for Sparta System’s Security and Compliance White Paper
QualityWise.ai is the only solution that supports the full breadth of the quality management system, including Complaints, Deviations, Nonconformances (NC), Corrective and Preventive Actions (CAPA), Change Control, and Audit.
QualityWise.ai augments human decision making and assists in quality records, but never replaces human decision making. All AI-assisted quality records require human approval and are identical to manually processed records, and audit-trails show human accountability.