AI-Driven Quality Control for Biomanufacturing & In-Vitro Models

Standardize, Validate & Scale QC/QA Across Organoids, 3D Tissues, and Cellular Assays, with Regulatory-Ready Analytics.

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Platform Capabilities

AI-Powered QC/QA Analytics Built for Biomanufacturing

Modelus is engineered to automate, standardize, and scale quality control and quality assurance across complex biological assays, especially for organoids, 3D tissues, and high-value bioproduct workflows.

Automated Quality Quantification

Turn images into reliable QC indicators with minimal overhead.

  • Standardized + comparable outputs

  • Automatic quality flags and measurements

Benefit: Faster, more consistent QC than manual review.

Automated QC Flags

Consistent Readouts

Assay-Aligned Analysis

Preconfigured for common biological models and imaging sources.

  • Ready-to-use analysis profiles

  • Works across typical lab imaging setups

Benefit: Meaningful QC signals without model training or tuning.

Drift-Ready

Assay-Aware Profiles

Context-Aware QC

Hardware-Agnostic

Compatible with any microscope or imaging system.

  • Accepts standard image formats

  • Integrates into existing workflows

Benefit: No new hardware or workflow disruption.

No Hardware Lock-In

Any Microscope

Standard Formats

The Workflow

How Modelus Fits Into Your QC Workflow

Designed to integrate seamlessly into existing biomanufacturing and QC processes.

Step 1

Ingest

Upload Images from Existing Systems

  • Images from any microscope or imaging platform

  • No changes to imaging protocols

Step 2

Analyze

Automated QC Analysis

  • Standardized QC metrics generated automatically

  • Deviations and quality flags identified

Step 3

Review

QC Review & Decision Support

  • Clear summaries and visual indicators

  • Supports release, investigation, and documentation

Step 4

Report

Traceable Outputs

  • Exportable summaries for QA, audits, or records

  • Consistent documentation across batches

Operational Benefits

Measurable improvements across QC, manufacturing, and QA workflows.

Faster, More Consistent QC

Modelus reduces reliance on manual review and subjective interpretation by standardizing how image-based QC is performed. Teams can evaluate quality more quickly and consistently across batches, sites, and operators.

Faster, More Consistent QC

Modelus reduces reliance on manual review and subjective interpretation by standardizing how image-based QC is performed. Teams can evaluate quality more quickly and consistently across batches, sites, and operators.

Faster, More Consistent QC

Modelus reduces reliance on manual review and subjective interpretation by standardizing how image-based QC is performed. Teams can evaluate quality more quickly and consistently across batches, sites, and operators.

Earlier Detection of Deviations

By continuously comparing new data against established quality patterns, Modelus helps surface deviations early. This makes it easier to distinguish normal biological variation from process-related issues before they escalate.

Earlier Detection of Deviations

By continuously comparing new data against established quality patterns, Modelus helps surface deviations early. This makes it easier to distinguish normal biological variation from process-related issues before they escalate.

Earlier Detection of Deviations

By continuously comparing new data against established quality patterns, Modelus helps surface deviations early. This makes it easier to distinguish normal biological variation from process-related issues before they escalate.

Improved Traceability and Documentation

Modelus produces consistent, exportable QC summaries that support internal reviews, audits, and record-keeping. This improves confidence in decision-making and reduces compliance risk without adding process overhead.

Improved Traceability and Documentation

Modelus produces consistent, exportable QC summaries that support internal reviews, audits, and record-keeping. This improves confidence in decision-making and reduces compliance risk without adding process overhead.

Improved Traceability and Documentation

Modelus produces consistent, exportable QC summaries that support internal reviews, audits, and record-keeping. This improves confidence in decision-making and reduces compliance risk without adding process overhead.

Team

Built by scientists and engineers with deep experience in biological imaging and translational research.

Prem Umang Satyavolu

Founder / CEO

Prem Umang brings experience in translational science, biomanufacturing strategy, and commercialization. Her background spans bridging advanced biological technologies into scalable, industry-ready platforms.

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Prem Umang Satyavolu

Founder / CEO

Prem Umang brings experience in translational science, biomanufacturing strategy, and commercialization. Her background spans bridging advanced biological technologies into scalable, industry-ready platforms.

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Mantej Singh

Chief Technical Officer

Mantej is a PhD researcher at Johns Hopkins University specializing in optical microscopy, biological imaging, and quantitative analysis. His work focuses on building robust imaging and analysis systems designed for real-world biological and clinical environments.

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Mantej Singh

Chief Technical Officer

Mantej is a PhD researcher at Johns Hopkins University specializing in optical microscopy, biological imaging, and quantitative analysis. His work focuses on building robust imaging and analysis systems designed for real-world biological and clinical environments.

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Validate Your Process.

Modelus supports objective, standardized QC without changing how you work. Contact us to evaluate how it can help validate and strengthen your existing process.

We are currently accepting partners for our Pilot Program.

Modelus

Standardizing quality for biological manufacturing.

Modelus

Standardizing quality for biological manufacturing.