ModelFlow

ModelFlow is an AI-powered platform purpose-built for the biopharma industry, uniting modeling, simulation, and data integration into a single unified environment. Designed for scientists, engineers, digital leads, and leadership teams, ModelFlow transforms how medicines are designed, scaled, and delivered — replacing fragmented tools and disconnected workflows with a seamless, collaborative development experience.

By connecting product development, digital, and leadership teams onto one platform, ModelFlow enables data and models to flow seamlessly across disciplines, turning collective expertise into measurable progress throughout the drug development lifecycle.

Core Platform Capabilities

• Intelligent Model Recommendations: An advanced library of models and applications provides the right development workflows tailored to biopharma products.
• Collaborative Experiment Design: Define workflow tasks to keep teams coordinated and experiments on track, with all files and documentation managed in a secure, version-controlled environment.
• Transparent Code and Model Development: Maintain full visibility into how models are built and modified, supporting scientific rigor and auditability.
• Integrated Data Connectivity: Connect process, lab, and operations data directly within the platform, eliminating the need to switch between disparate tools or manually transfer datasets.
• Complete Model Traceability: Every model and decision is traceable, ensuring teams can audit, reproduce, and build upon prior work with confidence.
• Scalable Webapp Deployment with AI-Powered Solutions: Deploy models and workflows as scalable web applications, powered by AI to accelerate insight generation and decision-making.

Key Benefits for R&D and Manufacturing Teams

• Accelerated drug development: Shared models, structured workflows, and traceable decisions eliminate email threads and disconnected files, making collaboration an integral part of the process rather than a bottleneck.
• Faster results: Design, simulate, and analyze within a single flow, reducing time lost switching tools, repeating steps, or waiting on data — moving faster from concept to insight.
• Increased R&D ROI: Reuse models, build on past work, and standardize quality without slowing down, enabling teams to do more with the same resources and achieve better decisions with fewer delays.

Proven Industry Results

• 40% faster process development across pharma engagements.
• 60% reduction in development costs.
• 3x faster regulatory submissions.
• 85% improvement in team collaboration.

Case Study Highlights

• For a Global Biopharmaceutical Leader, ModelFlow's end-to-end digital twin for reactive crystallization, filtration, washing, and drying replaced 80+ lab experiments through in-silico simulation, informed a $200M facility investment decision, saved 3+ months via accelerated digital optimization, and achieved scale-up from 2L to 10,000L digitally — eliminating 12 experiments at scale.
• For a Top 5 Global Healthcare Company, the PolyModels Hub derived actionable insights from process, lab, and operations data, identifying 50+ suboptimal batches representing approximately 10% of yearly production, capturing an estimated $60M/year in annual value, standardizing models across 4+ manufacturing sites, and recovering 150+ process days by avoiding rework.
• For a Leading European Pharmaceutical Company, end-to-end modeling for a new continuous manufacturing process reduced 100+ lab experiments using in-silico runs, saved $3M in development costs, saved 3+ months in development time, and avoided 10+ large-scale batch runs.
• For another Top 5 Global Healthcare Company, digital workflows optimized Protein A resin usage and accelerated scale-up for a second-generation biologic, achieving $2M/year in savings through in-silico optimization, saving 4 large-scale campaign cycles via virtual DoE and risk analysis, and requiring only 2 confirmatory experiments for process validation.

Engagement Model

1. Project Identification: Identify the right use case and opportunity for ModelFlow within your organization.
2. Execute Trial Contract: Agree on the scope and terms for a trial engagement.
3. Project Execution — Modeling Services Trial: ModelFlow delivers modeling services during the trial phase, demonstrating value in a real project context.
4. Finalize Licence Agreement: Based on trial outcomes, teams decide whether to proceed with a full licence agreement.
5. Deploy ModelFlow: Full platform deployment across the organization, enabling ongoing model reuse, collaboration, and scalable digital workflows.

ModelFlow is deployed as a scalable web application platform, supporting biopharma organizations of all sizes in standardizing and accelerating process development. The platform is designed to connect cross-functional teams — from lab scientists to digital leads to executive leadership — within a single, secure, and traceable environment built for the demands of modern pharmaceutical development.