The intelligence layer for modern bioprocess

Invert is bioprocess infrastructure and AI that empowers scientists to make real-time decisions and reach critical milestones faster.

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Bioprocess Infrastructure and AI

Clean, standardized data is just the beginning. Explore our suite of data management, analysis, and modeling tools.

Plan

Streamline planning, coordination, and execution of experiments.

Explore

Easily find the data you need, and deep dive into any analysis you'd like.

Analyze

Replace manual workflows in spreadsheets or statistical software. Calculate anything using powerful statistical features.

Model

Reduce cycle times using predictive models trained on your own data

Collaborate

Automatically generate reports based on recent runs. Add interactive plots, calculations, and comments and share with internal or external collaborators.

See our CAPABILITIES

Explore our full product suite.

All of the tools you need to unify, contextualize, and understand your data.

Integrations

Invert has streamlined our data analysis and made it effortless to manage large bioprocess datasets from various platforms and scales. Our team can now quickly compare results across different scales and share insights organization-wide, saving us significant time and effort.

Mona Mirsiaghi

Director of Fermentation, Inscripta

key features

Engineered for reliability.

Explore our key features that make bioprocess development faster and more reliable.

Metric Management

Merge metrics from all your sources for data consistency and quality control.

Learn more about Invert’s Data Management features ↗

Lineage

Characterize your end-to-end process. Identify bottlenecks and understand interactions between upstream and downstream unit operations.

Learn more about Invert's Analysis features ↗

Pre-built Models

Easily train models on your data – with or without code.

Learn more about Invert's Modeling features ↗

Contextualize your data. Accelerate your science.

Invert offers a complete suite for collecting, cleaning, and contextualizing data - ensuring every analysis and insight is based on reliable, organized data.