Developed by the pioneers of protein language models

How OpenProtein.AI helps you

AI accelerated protein design

Achieve your objectives in fewer, faster iterations
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Train sequence-to-function prediction models with your mutagenesis data

Visualize your variant library data and examine property relationships

Predict variant effects and map mutagenesis hotspots

Get sequence embeddings and other inferences from open source and proprietary foundation models


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Design optimized sequence libraries using custom design objectives, including multi-objective criteria

Map insertion and deletion sites

Create different types of libraries - substitution libraries, combinatorial variant libraries, bespoke sequence libraries, and more

Design first round libraries with state-of-the-art evolutionary models

Explore expected library outcomes

Compare library designs by success probability and cost effectiveness

Visualise predicted protein structure

OpenProtein.AI enables every project

Big data or small data

Whether you work with 96-well plates or have a high-throughput pipeline churning out hundreds of thousands of data points, OpenProtein.AI helps you get the most value out of every sequence and every library.

Any protein, any property

From antibodies to capsid proteins to enzymes, our technology captures the complete protein universe to optimize any protein.

From activity to expressibility to thermo stability, OpenProtein.AI learns from your data to predict any property.

Learning the protein language

Similar to natural languages, proteins have a language that can be rearranged and assembled to create different functional proteins.

Evolution has acted over billions of years to produce the vast array of proteins in the natural world today.

Learning from these sequences and other biological datasets, our platform distills the statistical patterns encoding functional and stable proteins into large scale AI models.

These models allow us to map out the protein universe and generate novel, functional proteins.

Harness this power by fine-tuning with your own data to design better proteins, faster.

Similar to natural languages, proteins have a language that can be rearranged and assembled to create different functional proteins.

Like words and phrases in human language, protein sequences can be computationally broken down to identify how segments.

Our platform distills this knowledge from natural protein sequence databases to capture the evolutionary, structural, and functional properties of proteins.

This knowledge is then used to train our ML models to derive novel proteins that fit within the design constraints of naturally occurring proteins.

With your datasets, we further tune our models for your objectives and generate novel variants.

Built by protein AI experts

Our philosophy

Your data is yours
Get better results in fewer rounds.
Open science
We believe that transparent science is critical for human progress.
Hands on assistance
Protein design is hard. Let us help you.
Accessible AI
We are committed to the democratization of AI.

Stop wasting time and money on conventional mutagenesis libraries

Learn how our technology delivered antibodies with 20x greater potency than conventional mutagenesis in a head-to-head comparison.


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Achieve your objectives in fewer, faster iterations
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