Neviton & Graph AI Services
Collaborating for Success
Neviton Technologies has partnered with Graph AI, a US-based startup, to deliver advanced AI-driven solutions. This collaboration combines Neviton’s expertise in cloud, data, and analytics with Graph AI’s innovative capabilities in artificial intelligence. Together, they aim to accelerate digital transformation across industries by providing customized AI and machine learning solutions. This partnership empowers clients to leverage data insights for better decision-making, enhanced efficiency, and a competitive edge in their markets.
Transformative AI Services for the Life Sciences and Pharma Industry
Extending the capabilities of Computer System Validation (CSV) using AI can help streamline validation processes, ensure compliance, and minimize errors.
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Automated Validation
AI-driven tools streamline system validation, reducing manual efforts and ensuring continuous compliance.
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Risk-Based Approach
AI prioritizes high-risk areas, focusing validation efforts where needed most.
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Change Impact Analysis
AI assesses system changes, identifying re-validation needs
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Real-Time Auditing
Automated reports ensure smooth regulatory audits and up-to-date compliance.
AI’s role in pharmacovigilance (PV) is becoming critical
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Adverse Event Detection
AI can automatically detect and report adverse drug reactions from large datasets, including medical literature, social media, and clinical records.
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Signal Detection
Machine learning models can identify safety signals from large volumes of data, highlighting potential safety issues that may not be evident through traditional means.
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Risk Prediction
AI can help predict drug-related risks by analyzing historical data on similar products or patient populations, ensuring faster response times and enhanced patient safety.
Integrating AI to Elevate our Product Innovation
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AI for Personalization
Using AI to personalize the user experience by dynamically adjusting content, recommendations, and services based on real-time data.
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Predictive Analytics
AI-driven models could predict user behaviour, system efficiency, or business outcomes.
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Automation
Automating decision-making processes or workflows, streamlining complex processes.
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Data Integration
AI could help unify various digital services under one ecosystem, driving better interoperability and data flow across systems
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Advanced Insights
AI-powered analytics to provide deeper insights from large datasets, improving operational or customer outcomes.
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Intelligent Automation
AI can automate routine tasks within the platform, such as data processing, reporting, or customer support workflows, reducing human intervention.
