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Let Polar Insight help you optimize your processes with analytics-powered decision making

Eliminate cumbersome and time-consuming manual data alignment and integrity risks from the import/export of poorly contextualized and siloed data sets. With embedded AI/ML and visual analytics, Polar Insight enables you to design, run and analyze processes in a single platform for end-to-end visibility, traceability and effective optimization. Unlock much needed capacity and focus resources on activities with the greatest impact on quality and performance.

What Is Polar Insight?

Polar Insight is the engine within Polar that delivers AI/ML-powered analytics directly to the end-user for decision-making.

Whether you are striving to better understand the performance of your equipment and processes or looking to transform the way you work with model-based insights, poorly contextualized and siloed data is holding you back.

Navigating this complexity typically requires specialist IT tools and/or data science teams who spend upwards of 80% of their time cleansing and aligning data, slowing your path to insight.

With embedded AI/ML and visual analytics, Polar Insight aligns with digital workflows and seamless data capture from your equipment, instruments and systems.

  • Design, run and analyze experiments and processes in a single digital platform for end-to-end visibility, traceability and effective optimization
  • Eliminate cumbersome and time-consuming manual alignment and data integrity risks from import/export of data sets
  • Reduce reliance on specialist analytics tools and/or data scientists
  • Unlock much needed capacity and focus resources on activities with the greatest impact on quality and performance

Polar Insight supports end-to-end analysis from data access, reporting, visualization and exploration, accelerating BioPharma development and reducing the time to commercial readiness. 

Design of Experiments (DoE)

DoE is an essential tool to assess the criticality of process parameters during process development. DoE provides significant advantages over one-factor-at-a-time (OFAT) experimentation and is often used in process characterization studies to determine acceptable ranges of process parameters to deliver quality product. However, DoE is difficult to implement because it requires third-party tools, statistical expertise and manually exporting/importing and aligning data sets.

With Polar Insight DoE, you can create your experimental design with just a few clicks, record experimental results in the same digital system of record and understand which parameters are critical to quality based on statistical analysis. Reduce the number of experiments you need to run to gain process understanding, optimize performance and support regulatory compliance.

Multivariate Analysis (MVA)

Each process step, material and equipment used can lead to variations in drug product quality.

Single parameter analysis for process characterization doesn’t consider interactions between process parameters and material attributes or their influence on the final product, often allowing problems to go undetected.

Polar Insight MVA provides advanced statistical techniques, including PCA (Principal Component Analysis) and PLS (Partial Least Squares), to find relationships among multiple process parameters.

This powerful methodology can be used for efficient root-cause identification for process variability, efficient process monitoring and early detection of potential issues to avoid losing batches downstream. It supports overall process understanding and optimization for control of biologics development and manufacturing processes to ensure product quality.

Bioreactor Comparison

Siloed data and lack of standardized data formats across different bioreactor scales and projects make it difficult to monitor and compare bioreactor runs. Polar Insight Bioreactor Comparison provides interactive visualizations for exploration and comparison of all bioreactor runs within a campaign, including control parameters, process variables and quality attributes. Using these visualizations enables process development scientists to easily explore and understand their process parameters across bioreactor cultures; both for monitoring currently running processes and comparing data between historical processes. 

Bioreactor Data Export

Easily select and download comprehensive datasets for custom processing in specialist tools such as Minitab, JMP, etc. Polar Insight Bioreactor Data Export allows data selection through state-of-the-art visuals including bar charts, line graphs, scatter plots and more. No SQL knowledge is required.

Cell Line Genealogy

Collating all the data required to accurately portray cell line genealogy across numerous different experiments is often time consuming and error prone. With Polar Insight Cell Line Genealogy, you can quickly uncover the history of a cell culture and understand relationships between cultures at any point, including extended lineages and availability.

Equipment Management Dashboard

Polar Insight Equipment Management Dashboard allows you to view all scheduled calibration and maintenance events in a single calendar view, making it easier to plan tasks and improve lab efficiency.

Project Tracking Dashboard

When the primary focus is analyzing experimental results during a study/project rather than operations, it can be challenging to identify and address bottlenecks. Polar Insight Project Tracking Dashboard enables project managers to track progress and share deadlines, increasing efficiency and collaboration. Seeing the status of all work currently ongoing including elapsed and touch time, number of repeats and other key quality metrics enables project managers to take corrective action when needed.

On-Demand Webinar

Watch the webinar “How to build the data foundations to enable meaningful insights from AI” to learn how to build the required data foundations to enable good insights. AI/ML are often set as the goals for implementing a digital strategy but if these tools are implemented without a clear problem or business impact in mind, the results are unlikely to deliver value.

A data-centric approach, and the ability to ask the right questions, are needed to support business strategy and ensure data accessibility, quality, interoperability and reusability across the BioPharma development lifecycle.

Contact us to learn more about Polar Insight or speak to us about additional Insight capabilities.

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