Experience Pharma Manufacturing Excellence with Data & AI-Driven Innovation
AI-driven solution for timely, market-sensitive & successful renewal
- Streamline Operations
In today’s rapidly evolving Biopharma industry, delivering high-quality drugs efficiently while maintaining compliance is a critical challenge, compounded by hidden costs that can significantly impact operations. From managing variability in manufacturing processes, where a single failed batch can result in millions of dollars in losses, to addressing data silos that increase operational costs by delaying decision-making, these issues demand innovative solutions.
We are addressing these hurdles with mcube™, an advanced Data & AI platform designed to streamline operations, break down silos, and accelerate your journey toward manufacturing excellence. Whether you’re grappling with inconsistent batch yields, resource allocation bottlenecks, or inefficiencies in quality control, mcube™ offers tailored solutions that deliver measurable results, helping you overcome these hidden costs and achieve operational excellence.
mcube™ - the platform of choice for AI Transformation in Pharma Manufacturing
mcube™, our end-to-end, interoperable, and modular AI platform, is designed to drive velocity to value for biopharma manufacturing.
Trusted Results
Key highlights
- Predicting batch yield to increase profitability
- Optimized raw material usage – Optimizing high value plasma usage while maintaining consistent batch yields
- Real time monitoring and improvement of operations KPI – leading to better margins
- Gen AI based enterprise search – mcube™ local LLM trained on specialized life sciences data, applying semantic modeling, and FAIRification to enhance productivity in enterprise search!
Results
- Over $1M in annual savings.
- 30% efficiency gains from automation and AI.
- Enhanced inventory visibility, enabling strategic forward planning.
Testimonial
“With mcube™’s Generative AI predictors, we’ve unlocked new commercial opportunities and operational excellence.”
– Adam Grossman, CEO, ADMA Biologics
Comprehensive AI-Powered Solutions for Pharma Manufacturing
In the dynamic realm of pharmaceutical manufacturing, where maximizing batch yields is essential, mcube™‘s AI-driven yield prediction solution analyzes historical data to uncover patterns linking process parameters, ingredient quality, and environmental conditions to batch outcomes. Real-time monitoring allows for immediate adjustments, ensuring optimal yield and minimizing waste. Predictive analytics forecast future yield, enabling proactive resource allocation and risk management.
- Advanced Data Analysis: Identifies patterns from historical batch data to optimize production.
- Real-Time Monitoring: Tracks critical parameters and adjusts them on-the-fly to enhance yields.
- Predictive Analytics: Forecasts upcoming batch yields for informed resource allocation.
- Root Cause Analysis: Detects anomalies and facilitates corrective actions to maintain quality.
- Simulation Capabilities: Runs “what-if” scenarios to evaluate the impact of variable changes.
- IoT Integration: Leverages big data for comprehensive insights and optimized processes.
The pooling process is often manual, time-consuming, and error-prone, tcgmcube transforms this by automating and optimizing every step. It leverages data science to rapidly generate pooling recommendations, while using predictive analytics to ensure only high-quality material is pooled. The solution enhances quality control, detecting pathogens, anticipating risks, and optimizing the supply chain for efficient collection and delivery. Additionally, it automates operations, improves yield prediction, ensures regulatory compliance, and significantly reduces costs and time, streamlining drug production.
- Optimized pool creation with balanced objectives
- Maximize inventory usage
- Reduce usage of expensive inventory types
- Reduce splitting of cases /shipments
- Insightful pool recommendations
Leverage precision search for your enterprise with Gen-AI powered by our private LLM’s that captures, organizes, and retrieves critical information like SOP, Process documents, etc. Trained on highly specialized Scientific & Medical Information, this Gen-AI solution applies knowledge graphs, semantic modeling FAIRification for accurate & context-rich queries.
- Increased Accuracy: Access to common & rare genetic variants advances research.
- Faster Insights: Quick responses boost productivity & reduce research time.
- Better Decisions: Specialized data minimizes missed information, aiding experiments.
- Improved Compliance: Use of proprietary data enhances quality & regulatory adherence
Stability and shelf -life prediction can be time consuming and prone to human error. mcube™’s AI driven Stability & Shelf-Life Prediction solution is designed for seamless bidirectional integration with your existing information systems. This automates stability testing, provides accurate shelf-life predictions, and instant reporting while reducing turnaround times and eliminating human errors. Its predictive models and AI-driven insights help in quickly adjusting manufacturing processes to meet new demands.
- Seamless data ingestion: Connects your datasets across various studies, products, and container types.
- Customized Analysis: Allows selection of specific parameters, such as Product ID, Storage Environment, and Condition Label.
- Shelf-Life Predictions: Generates precise stability curves and predicts shelf life based on your data.
- Automated Results & Reporting: In one click, as the analysis runs in the background, get detailed reports delivered instantly.
Our innovative Dynamic Scheduling Solution empowers life sciences QC labs to streamline operations by intelligently aligning sample testing demand with operator shifts, equipment availability, and inventory levels. Powered by AI-driven algorithms, our platform integrates seamlessly with your existing LIMS and work calendars, providing real-time insights and predictive scheduling. Reduce turnaround times, optimize resource utilization, and ensure operational agility—all through an intuitive, user-centric interface designed to meet the unique challenges of modern QC labs.
Ensuring quality and consistency in drug manufacturing is critical, hence the need for continuous monitoring, detection of deviations and suggestions for corrective actions. tcgmcube’s AI-powered real-time process monitoring transforms drug manufacturing by offering continuous data collection and analysis, anomaly detection, and predictive adjustments. It continuously tracks key parameters while the Machine learning models detect deviations in real-time and suggest corrective actions to maintain process consistency.
- Maximizes control over complex manufacturing processes – Continuous data collection & analysis from sensors
- Enhances operational efficiency – Anomaly detection and real-time alerts
- Minimizes downtime –Predictive adjustments to prevent malfunctions
- Ensures consistent product quality – Automated feedback loops for process optimization
- Meets regulatory standards – Automated reporting for regulatory compliance
In drug manufacturing, even the smallest equipment failure can lead to costly downtime and compromised production quality, resulting in heavy financial losses. mcube™‘s Predictive Maintenance solution utilizes AI and sensor data to predict equipment failure, ensure proactive maintenance, and thereby facilitates uninterrupted production. The solution not only minimizes downtime but also optimizes maintenance schedules, improves efficiency and cuts costs.
- Equipment Health Monitoring: Real-time data analysis to predict potential failures.
- Failure Prediction: AI identifies trends and anticipates equipment breakdowns.
- Downtime Reduction: Prevents unexpected breakdowns and minimizes production stoppages.
- Optimal Maintenance Scheduling: Aligns maintenance with low-demand periods to reduce interruptions.
- Spare Parts Management: Predicts the need for replacements, optimizing inventory.
- Process Optimization: Ensures machines run at peak efficiency, reducing waste.
- Energy Efficiency: Flags inefficient energy use, lowering costs and environmental impact.
- Regulatory Compliance: Tracks maintenance for seamless compliance with GMP standards.
Embed continuous quality monitoring into production lines to reduce rework, maintain compliance, and ensure high-quality output. mcube™’s Inline Quality Control (QC) embeds continuous quality monitoring directly into the production line. It enables seamless, uninterrupted production by integrating data-driven insights and automation, optimizing efficiency, reducing downtime, and maintaining high-quality standards in biopharma manufacturing.
- Real-Time Data Analysis: Instant analysis of data from sensors to identify deviations in critical parameters, such as temperature and pressure.
- Anomaly Detection: Employs machine learning algorithms to spot hidden variations in the production process, facilitating immediate corrective actions.
- Predictive Quality Control: Leverages historical & real-time data to foresee and prevent potential quality issues, ensuring defect-free production.
- Realtime Decision-Making: Real-time adjustments to production parameters, optimizing efficiency, and maintaining quality standards.
- Improved Regulatory Compliance: Continuous tracking & documentation of process data, simplifying compliance reporting, and minimizing manual efforts.
Simulate and optimize manufacturing processes with a virtual replica of your physical assets, enhancing innovation, reducing risks, and fostering collaboration. By integrating real-time data from IoT sensors, mcube™ simulates, monitors, and optimizes production processes seamlessly. This proactive approach not only mitigates risks but also enhances collaboration and compliance.
- Real-Time Monitoring and Analysis: Continuous analysis of production data for optimized operations and quick identification of trends / deviations.
- Predictive Analytics: Using machine learning it can forecast potential issues, enabling proactive maintenance and quality assurance.
- Process Optimization: Can simulate various operational scenarios to identify the most efficient strategies for production.
- Scenario Testing: Allows manufacturers to adjust parameters and assess their impact on product quality in a risk-free environment.
- Enhanced Collaboration: Provides a unified, real-time view of the production process, fostering teamwork across departments.
- Regulatory Compliance: Can automate report generation and documentation to ensure adherence to industry regulations, reducing manual effort.
Let’s Build Your AI-Powered Future
- Impact Report: Get a customized analysis of how our solutions can address your challenges.
- Free Workshop: Collaborate with our experts to explore the potential of mcube™ for your operations.
- Live Demo: Experience mcube™ in action with a tailored demonstration.