Invert Model

Invert Model is a machine learning platform purpose-built for bioprocess teams, enabling users to train and deploy ML models on their bioprocess data — with or without writing code. Designed to be implemented in weeks rather than years, Invert Model supports process optimization, experimental design, and outcome prediction, making advanced AI accessible to both technical users and bioprocess engineers alike.

The platform handles the complexity of data cleaning, organization, and MLOps infrastructure, so teams can focus on building and using models rather than managing pipelines. Invert Model is suitable for applications across gene therapy, cell therapy, and antibody and protein development workflows.

Core ML Capabilities

• Train machine learning models for process characterization, experimental design, time series prediction, and outcome forecasting
• No-code model training and deployment, enabling bioprocess engineers to work end to end without writing code
• Support for bringing your own models or using Invert's pre-built, off-the-shelf models
• Full model transparency and versioning to track changes and maintain reproducibility
• Automated data cleaning and organization to prepare bioprocess data for model training

Python Notebooks for Exploratory Analysis

• Invert Notebooks provide a familiar Python environment for technical users to analyze and explore data
• Supports exploratory data analysis including trend visualization, pattern detection, and data exploration
• Tracks every step from raw data exploration through to final model training in a single, unified workspace
• Enables easy collaboration, allowing teams to share both context and insights alongside their analysis
• Serves as the starting point for creating custom models that can then be deployed to a no-code environment

Model Deployment and MLOps

• Deploy trained models as experimental designs, early alerting systems, or real-time process predictions
• Invert manages all MLOps infrastructure, enabling deployment anywhere without writing code
• Models built in Notebooks can be promoted to a no-code environment for use by any team member
• Supports both custom models and Invert's pre-built models for a seamless deployment experience

Workflow Overview

1. Connect and harmonize your bioprocess data using Invert's automated data management tools
2. Explore and analyze your data using Python Notebooks or no-code analysis features
3. Select a pre-built model or create your own model in a Notebook environment
4. Deploy the model to a no-code environment accessible to your entire team
5. Use deployed models for real-time predictions, experimental design, or process alerts

Invert Model integrates with Invert's broader platform, which includes data acquisition, harmonization, and unification capabilities, as well as analysis and the AI-powered Invert Assist interface. The platform is designed with compliance considerations in mind and offers documentation and resources to support adoption across life sciences organizations.