Discover real-world case studies, actionable strategies, and practical frameworks to integrate AI into quality operations.
The essential guide to AI quality assurance
31%
Reduction in deviation investigation time
63%
Reduction in root cause analysis efforts
50%
Reduction in batch review time.
Batch Release Copilot. From manual review to "review by exception"
50% Faster Batch Review
Minimize batch failures and investigations
AI-driven insights help identify and prevent deviations before they happen, reducing costly rework and delays.
AI-powered batch review eliminates tedious manual checks, allowing quality teams to focus on critical exceptions.
AI-powered root cause analysis connects historical data, reducing time spent on investigations and improving corrective action effectiveness.
Experience the Future of Pharma Manufacturing
Mareana solves what others struggle with, instantly with AI-Powered Manufacturing Intelligence.
Reduce review time from weks to days
Ensure faster regulatory compliance
A: AI validates 80% of batch parameters instantly, flagging only critical exceptions for expert review. This eliminates manual cross-checking, reducing review times by up to 50%.
A: AI detects process variations in real time, correlates with historical trends, and alerts teams before deviations lead to quality failures.
A: AI automatically links current deviations to historical CAPAs, providing instant root cause insights and reducing investigation cycles.
A: AI identifies patterns in past CAPAs and suggests process adjustments, reducing the recurrence of quality deviations.
A: Yes, AI maintains audit trails, enforces electronic signature validation, and ensures full traceability for regulatory compliance.
A: AI automatically compiles quality data, deviation history, and batch records, reducing audit preparation time and ensuring compliance.
A: Yes, AI provides transparency in decision-making, allowing human intervention when necessary while maintaining compliance records.
A: AI captures all actions, enforces access controls, and provides immutable audit logs, safeguarding against data manipulation.
A: AI enforces predefined quality rules, ensuring uniform application of standards across all batch reviews and regulatory documentation.
A: AI automates data validation, reducing time spent on repetitive reviews and allowing quality teams to focus on high-risk cases.
A: By automating routine checks, AI allows experienced personnel to focus on strategic quality improvements and process optimizations.
A: Mareana seamlessly connects with MES, QMS, ERP, and LIMS, ensuring interoperability without disrupting workflows.
A: Implementation timelines vary but typically range from weeks to a few months, depending on system complexity and data readiness.
A: AI-driven workflows are designed for intuitive use, requiring minimal training while enabling faster adoption.
Frequently asked questions
Identifies potential issues before submission, preventing rework and costly delays.
AI automates routine checks and flags only exceptions for human review.
Ensures that every batch meets regulatory requirements with AI-powered verification.
GxP-Compliant AI Validation
Reduces Compliance Risk
Complete Decision Traceability
Ensures end-to-end decision traceability for compliance, quality, and regulatory confidence
Mareana integrated effortlessly with our systems, enhancing efficiency and compliance with unmatched accuracy. Highly recommended
VP of Manufacturing, Leading Biotech Firm
Mareana’s AI-driven solutions have streamlined our batch release process, ensuring compliance and reducing approval time. A game-changer
Quality Assurance Director, Global Pharma Company
Boosting efficiency, ensuring compliance, and speeding up batch releases.
See how AI helps quality teams cut batch review times, improve Right-First-Time rates, and resolve CAPAs faster.
Traditional quality assurance can’t keep up with the industry's demand for speed and compliance.
Slow batch reviews, high deviations, and CAPA delays create costly bottlenecks and regulatory risks. AI-powered solutions help quality leaders streamline processes and accelerate product release.
• Halve batch review times with automated workflows.
• Boost Right-First-Time rates with predictive insights.
• Speed up CAPA resolution with AI-driven root cause analysis.
The essential guide to AI quality assurance
Boost efficiency, ensure compliance, and speed up batch releases.
Discover real-world case studies, actionable strategies, and practical frameworks to integrate AI into quality operations.
50%
63%
63%
33%
Faster scale-up studies
Reduction in regulatory report preparation time
Reduction on review times
Watch the Impact: Real Results with Mareana’s AI-Assisted batch release
Watch the Impact: Real Results with Mareana’s AI-Assisted batch release
63%
50%
31%
Reduction in deviation investigation time
Reduction in batch review time.
Traditional quality assurance can’t keep up with the industry's demand for speed and compliance.
Slow batch reviews, high deviations, and CAPA delays create costly bottlenecks and regulatory risks. AI-powered solutions help quality leaders streamline processes and accelerate product release.
Ensure faster regulatory compliance
Reduce review time from weks to days
Minimize batch failures and investigations
AI-powered batch review eliminates tedious manual checks, allowing quality teams to focus on critical exceptions.
AI-powered root cause analysis connects historical data, reducing time spent on investigations and improving corrective action effectiveness.
AI-driven insights help identify and prevent deviations before they happen, reducing costly rework and delays.
Mareana solves what others struggle with, instantly with AI-Powered Manufacturing Intelligence.
Experience the Future of Pharma Manufacturing