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 transfer processes from lab scale to production scale, minimizing material waste and improving resource efficiency with SimSight's data-driven insights and optimization.

Increase Bioprocess Mixing Efficiency

Optimizing bioprocess mixing efficiency enhances consistent product quality, maximum cell growth & yield, and shorten processing times. This leads to increased production efficiency and cost savings.

Reduce Hydrodynamic Shear Damage

Minimizing hydrodynamic shear damage protects delicate cells, ensuring higher viability and production of high-quality products. This results into increased process efficiency through improved yield and shorter processing times.

Optimize Lyophilizer Performance

Optimizing Lyophilization process reduces cycle times, lowers costs, and ensures the quality and stability of freeze-dried product. As a result, the perishable ingredient can be preserved and its shelf life can be extended, making it more convenient for transport.

Develop Physics-Based Digital Twins Scale-up

Scaling up complex processes is often challenging due to limited time, materials, and manpower, forcing a reliance on trial and error. Digital twins help to combine process data with scientific understanding resulting in optimized processes, reduced wasted resources, and improved quality control during scale-up.

Estimate Chromatograph Parameters

Chromatography aids asset characterization by estimating key parameters. Retention time, retention volume, and baseline width reveal component properties. Void time and volume account for non-specific interactions, giving a clearer picture for accurate characterization.

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

Use Cases

Unlock the power of process optimization! Dive into our use-case library to explore real-world examples of how companies across industries leverage our solutions. Discover how we've worked on challenges like yours and empowered our customers to achieve their goals.

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Accelerate Bioreactor Scaleup

Increase Efficiency For MAb Downstream Operations

Monitor Bioreactor Process Health

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.