Scale-up faster using digital twins!

SimSight is a decision-support platform that brings physics-driven insights and data together to rapidly accelerate scale-up.

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Components

SimSight is, at its core, made up of two components –

A database of performance characteristics for each asset/process equipment in your organization; these performance characteristics are derived from fundamental, physics-driven computational models (developed and validated) for each process equipment
An app-store environment that hosts a number of apps each of which is focused on solving a business-critical use-case

Let's Identify Your goals

Scaleup Bioreactors Seamlessly

Efficiently move from lab to production scale - across bioreactor and cell culture scale-up - while reducing material waste and improving resource use. SimSight’s process intelligence, digital twins, and reduced order models accelerate tech transfer, support site-to-site transfer, and ensure consistent scale-up performance.

Increase Bioprocess Mixing Efficiency

Improved mixing efficiency drives uniform mass transfer, consistent quality, and higher cell growth. With SimSight’s process monitoring and hybrid modelling, teams gain deeper insight into hydrodynamics, cell culture media behavior, and scale effects - enabling faster, more reliable decisions.

Reduce Hydrodynamic Shear Damage

Reducing shear damage protects sensitive cells, boosts viability, and improves product quality. SimSight’s digital twins, CFD insights, and reduced order models reveal shear zones and flow behavior - enhancing process stability, increasing yield, and shortening processing times.

Optimize Lyophilizer Performance

Optimizing lyophilization shortens cycle times, lowers costs, and ensures stable, high-quality products. SimSight models heat and mass transfer, predicts drying endpoints, and strengthens process validation - extending shelf life and improving product transportability.

Develop Physics-Based Digital Twins Scale-up

Scaling up complex processes often requires trial-and-error. Physics-based digital twins combine process data, scientific understanding, and monitoring to simulate performance before execution - reducing waste, improving quality control, and enabling faster, more confident cell culture scale-up decisions.

Estimate Chromatograph Parameters

Chromatography relies on accurate parameter estimation for strong process validation. SimSight enhances retention time, volume, and baseline width analysis through advanced analytics and digital twin interpretation - leading to better purification strategies and higher process confidence.

Features Of SimSight

Asset Library

Data Storage: Consolidate all process development data, including experimental results, simulation outputs, and formulation details, in a single, secure, and easily accessible location.
Advanced Search: Easily find the specific data points required with SimSight's powerful full-context search functionality. No more wasting time sifting through irrelevant information.
Quick Bookmark: Mark frequently accessed data points for instant retrieval, keeping process development workflow uninterrupted.
Version Tracking: Track changes made to process development data, ensuring transparency and collaboration within team.

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App Environment

Use-Case Deployment: Design and deploy tailored applications for specific process development use cases, like scale-up or mixing analysis. This streamlines workflows and facilitates rapid iteration.
Pattern Vizualization: Gain deeper insights into process behavior by visualizing patterns and trends across various process conditions. Identify optimal parameters for efficient development
Scenario Modeling: Explore multiple scenarios within apps to test different process development strategies and identify the most promising options.
Tailored User Interfaces: Customize the interface and functionalities of applications to match specific process development needs.

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Connectivity To Data Sources

Data Source Connectivity: Effortlessly connect various data sources, including CFD software, flow visualization tools, document repositories, and experimental data platforms.
Data Import: Seamlessly integrate data from diverse platforms into the SimSight/s database, ensuring a smooth and efficient process development workflow.
Data Validation: Maintain data integrity throughout process development while eliminating errors and ensuring reliable results.
Data Updates: Set up automatic data imports to keep process development information constantly updated, reflecting the latest progress and insights.

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Reference Customers

Increase Efficiency For mAb Downstream Operations

Accelerate Mammalian Cell Culture

Monitor Bioreactor Process Health

Use Cases

Despite of the ever-growing market and dynamic changes digital is still harnessed to catalyse the solutions for various industrial challenges across the value chain. Find below the list of use cases specific to shop floor interests addressing various challenges encountered within the life science and pharmaceutical sector:

Monitor Bioreactor Process Health

Increase Efficiency For mAb Downstream Operations

Accelerate Mammalian Cell Culture

Why SimSight

Accelerated scale-up/transfer

Facilitate faster process scale-up or transfer by providing insights for decision-making and optimizing processes to minimize material wastage and improve resource efficiency in process development.

Reduce Order models

Easily retrieve and reuse insights from previous simulations with SimSight, reducing duplicating efforts.

Centralized data storage

SimSight provides a centralized database to store all process development data, ensuring easy access and organization.

Create Custom Apps

Create custom applications tailored to streamline workflows, automate tasks, and provide specialized analysis capabilities for process development.

Reduced experimentation time

By providing efficient data management, analysis, and visualization capabilities, SimSight significantly reduces the time required for experimentation by more than 30% in process development.

Enhanced Data Representations

Advanced features for analyzing and presenting process development data, including interactive visualizations, advanced analytics, and customizable reporting.