IDBS Polar unifies your scientific data across experiments, equipment, and sites, creating one trusted, contextualized source of truth that gives teams insight across the development lifecycle. Polar Insight takes it further, layering on real-time analytics, ML-driven intelligence, and a growing library of purpose-built apps that turn scientific data into answers you can act on.
Turn scientific data into meaningful insights
to accelerate decision making
Unlock the full value of your scientific data
Polar Insight transforms your unified Polar data into deeper intelligence – whether you’re looking backward to understand what happened or forward to predict what’s next. With Polar Insight, users can:
- Spot trends and anomalies across equipment, batches, studies, and sites – before they impact quality or timelines
- Perform root cause analysis with fully traceable data instead of scattered spreadsheets
- Compare bioreactors, cell lines, and process runs side-by-side to accelerate optimization
- Predict outcomes leveraging ML models trained on your own harmonized data
- Monitor equipment and study performance in real time to reduce waste and downtime
- Generate decision-ready evidence for filings, quality reviews, scale-up, and tech transfer
Insight where you need it – in the platform or in your tools of choice
A growing library of pre-configured applications, accessible through the Insight Launchpad, extends this intelligence across key drug development activities – delivering dashboards, statistical analyses, and data modeling that drive faster decisions, less waste, and accelerated time to market. And when your teams need to work in their preferred BI or reporting tools, source data and visualizations export seamlessly – so insight travels wherever your work does.
Start the next Lab Loop with Insight
Scientific work follows a cycle – plan, execute, collect, analyze, and iterate. Polar supports this entire Lab Loop, and Polar Insight helps accelerate the Lab Loop: turning structured execution data into the understanding that drives your next experiment, your next filing, your next scale-up decision.
By combining ML-powered statistical analysis with interactive visual analytics, Polar Insight eliminates the silos that slow discovery – accelerating biopharma development and speeding time to commercial readiness.
Visibility across all workflows
Access, explore, and analyze data across experiments, processes, and operations across lab loops with full traceability
Data integrity by design
Eliminate manual alignment and import/export risks with contextualized data in one place from the Polar Data Backbone
Self-service analytics
Empower scientists with powerful in-platform insights – and seamless data export when you need specialist tools
Focus where it matters
Free up capacity for activities with the greatest impact on quality and performance
Accelerating the Loop
Polar Insight unifies data access, reporting, visualization, and exploration – turning analysis into momentum for the next experiment or decision. Use findings to:
- Update methods and templates
- Refine study designs and launch the next experiment
- Roll up evidence for filings and quality reviews
- Inform scale-up and technology transfer
- Enrich the models that power your AI strategy
Polar Insight capabilities at a glance
Explore the full breadth of analytics and operational insights available in Polar. Capabilities are grouped by use case for easy navigation. Have a use case beyond these examples? IDBS Professional Services can build and deploy a custom Insight application tailored to your workflow.
| Process Development & Optimization | Design of Experiments (DoE) | Design, execute, and analyze experiments in one system to identify critical process parameters and accelerate process optimization. Includes DoE capabilities for Polar Control and Bioreactors. → See capability deep dive |
| Multivariate Analysis (MVA) | Uncover relationships across multiple process variables using PCA and PLS techniques to support root-cause analysis, process understanding, and optimization. Includes time-series MVA. → See capability deep dive | |
| QbD for Experimental Design, Analysis & Modeling | Apply structured Quality-by-Design workflows to design experiments, analyze results, and build predictive process models. | |
| Bioreactor Comparison | Compare bioreactor runs through interactive visualizations of control parameters, process variables, and quality attributes to identify performance differences. → See capability deep dive | |
| Seed Train Expansion & Scale-Up | Track and compare seed train performance across scales to support data-driven scale-up decisions and improve process consistency. | |
| Cell Line | Cell Line Development (CLD) | Manage and analyze cell line development workflows from screening and selection through stability assessment in a single environment. → See capability deep dive |
| Cell Line Genealogy | Visualize cell line lineage and relationships to quickly trace history, monitor availability, and support informed decision-making. → See capability deep dive | |
| Bioanalysis Studies | Analyze bioanalytical assay data through structured workflows that support characterization, comparability, and development studies. | |
| Bioanalysis for CxO and partners | Bioanalysis study report | Transform analytical run data into interactive visualizations that enable sample comparison, concentration analysis, trend monitoring, exception management, and faster decision-making. |
| Bioanalysis study report sponsor snapshot | Provide sponsors with a concise, shareable view of study progress, results, and key insights to support collaboration and transparency. | |
| Sponsor Project Tracking | Monitor project status, milestones, deliverables, and timelines through a sponsor-facing view designed to strengthen collaboration. | |
| Bioprocess & Manufacturing | Bioprocess Studies | Consolidate and analyze data across upstream and downstream bioprocess studies to improve process understanding and performance. |
| Preparative Chromatography | Compare purification and recovery performance across process steps to optimize yield, purity, and product quality. | |
| Bioreactor Data Export | Access and export comprehensive bioreactor datasets directly from visual dashboards and charts – without requiring SQL expertise. | |
| Bioreactor Comparison Reporting | Generate standardized comparison reports across bioreactor runs to support process reviews, investigations, and reporting. | |
| Stability | Manage stability protocols, study setup, execution, and results within a single workflow to streamline stability program oversight. | |
| Lab Operations & Management | Equipment Management Dashboard | Centralize calibration and maintenance schedules in a single view to improve compliance, planning, and equipment utilization. → See capability deep dive |
| Project Tracking | Monitor project progress, milestones, timelines, and deliverables across teams to keep work on track. | |
| Platform Usage | Measure platform adoption, engagement, and usage trends to assess value realization and guide continuous improvement. | |
| Lab Monitoring | Gain real-time visibility into laboratory conditions, equipment health, and environmental parameters to ensure operational readiness. | |
| Bulk Review Sign-off | Accelerate review and approval processes by enabling bulk sign-off of records, studies, or results while maintaining compliance. | |
| Inventory Monitoring | Track inventory levels, consumption trends, and item availability to reduce shortages and improve resource planning. |
The Polar Insight applications bring together data from different parts of the Polar platform so you can view and export data to your preferred BI or reporting tools directly from within the Insight app.
Learn about the Polar Accelerator Library including the Insight Application Accelerators here:
Capability Deep Dives
DoE is an essential tool to assess the criticality of process parameters during process development. It 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.
Polar Insight DoE leverages machine learning allowing you to 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.
See Demo of Polar Insight DoE
Each process step, material, and piece of 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 leverages machine learning to provide 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.
Advanced Multivariate Analysis for Smarter Process Decisions with IDBS Polar
See Demo of Polar Insight MVA
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.
See Demo of Polar Insight Bioreactor Comparison
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.
See Demo of Polar Insight Cell Line Genealogy
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.
See Demo of Polar Insight Equipment Management Dashboard
Built for Insight Today. Ready for AI Tomorrow.
Polar Insight eliminates the 80% of time data science teams typically spend cleaning and aligning data, putting decision-enabling analytics directly in your scientists’ hands. And Polar Insight goes beyond reporting and analysis – applications can take action directly within the platform, automating workflows such as bulk review and approval processes to accelerate execution and reduce manual effort.
Customers can extend value through purpose-built applications and integrations without the burden of managing the underlying infrastructure and services themselves. The result: faster process understanding, accelerated regulatory filings, smoother technology transfer, and a foundation for scalable automation.
The result: faster process understanding, accelerated regulatory filings, and smoother technology transfer.
With Polar Insight, you gain trusted insights today – and a platform designed to power intelligent workflows, advanced analytics, and AI-driven innovation tomorrow.
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.
Explore further
