Great models demand great data
Wherever you are in model development, excellence begins with right DNA and protein tools.
Fine tune, iterate, and train with Twist
Powering AI-Based Protein Engineering With Scalable Data
"Twist enables us by allowing routine synthesis of tens or hundreds of thousands fully defined sequences."
A-Alpha Bio
Ryan Emerson, PhD
Senior Vice President, Data Science & Platform Solutions
Model Build Phase
With high-quality datasets, researchers can train and refine their AI models. Twist delivers the accuracy and consistency trusted by leading discovery teams, ensuring your training data, validation datasets, and experimental results all reflect the same quality standard.
Bigger, better datasets like nothing else
Get unprecedented access to pooled dsDNA up to 1.8kb,
with 0% chimera rates.
Explore Gene Pools
Model Test Phase
Model success in silico often fails to translate to the laboratory environment. This is why wet lab validation is necessary. Twist enables the validation of your AI outputs whether you are screening thousands of new genes for trait discovery or characterizing antibody candidates.
A CRE.AI.TIVE application of AI: Engineering a more resilient global food supply
“Out of all the solutions we have tried, Twist’s oligos are the most faithful to our designs. We absolutely need this fidelity when we’re validating AI outputs.”
Colleen Drapek, PhD
Lead R&D Scientist, Trait Discovery
Validate your model in weeks, not months
Let Twist develop your validation dataset for AI-driven discovery.
AI’s Future Hinges On The Wet Lab
“The result was a much more efficient path to antibody optimization.”
Twist Biosciences
Colby Souders, PhD
Chief Scientific Officer
Twist Biopharma Solutions
Model Learn Phase
After AI/ML models downselects the design space and proposes an initial set of candidates, researchers must generate real-world wet-lab data to understand how those sequences actually perform. In silico screening can prioritize enzyme or antibody sequence variants, but only physical assays provide the ground-truth measurements needed to train, refine, or select AI-generated designs.
Train antibody discovery algorithms, without a wet lab.
Discover broader sequence spaces and deeper antibody developability, function, and efficacy profiles delivered to your in bespoke formats to enable your LLM training.
Fine tune, iterate, and train with Twist
Powering AI-Based Protein Engineering With Scalable Data
"Twist enables us by allowing routine synthesis of tens or hundreds of thousands fully defined sequences."
A-Alpha Bio
Ryan Emerson, PhD
Senior Vice President, Data Science & Platform Solutions
Model Build Phase
With high-quality datasets, researchers can train and refine their AI models. Twist delivers the accuracy and consistency trusted by leading discovery teams, ensuring your training data, validation datasets, and experimental results all reflect the same quality standard.
Bigger, better datasets like nothing else
Get unprecedented access to pooled dsDNA up to 1.8kb,
with 0% chimera rates.
Explore Gene Pools
Model Test Phase
Model success in silico often fails to translate to the laboratory environment. This is why wet lab validation is necessary. Twist enables the validation of your AI outputs whether you are screening thousands of new genes for trait discovery or characterizing antibody candidates.
A CRE.AI.TIVE application of AI: Engineering a more resilient global food supply
“Out of all the solutions we have tried, Twist’s oligos are the most faithful to our designs. We absolutely need this fidelity when we’re validating AI outputs.”
Colleen Drapek, PhD
Lead R&D Scientist, Trait Discovery
Validate your model in weeks, not months
Let Twist develop your validation dataset for AI-driven discovery.
AI’s Future Hinges On The Wet Lab
“The result was a much more efficient path to antibody optimization.”
Twist Biosciences
Colby Souders, PhD
Chief Scientific Officer
Twist Biopharma Solutions
Model Learn Phase
After AI/ML models downselects the design space and proposes an initial set of candidates, researchers must generate real-world wet-lab data to understand how those sequences actually perform. In silico screening can prioritize enzyme or antibody sequence variants, but only physical assays provide the ground-truth measurements needed to train, refine, or select AI-generated designs.
Train antibody discovery algorithms, without a wet lab.
Discover broader sequence spaces and deeper antibody developability, function, and efficacy profiles delivered to your in bespoke formats to enable your LLM training.
Cross the bridge between bits and biology
Use our selector to quickly find the DNA, protein, or data solution you need to ensure success at every step of your model's journey.
Cross the bridge between bits and biology
Use our selector to quickly find the DNA, protein, or data solution you need to ensure success at every step of your model's journey.
Success Stories
Success Stories
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RESULTS ARE SPECIFIC TO THE INSTITUTION WHERE THEY WERE OBTAINED AND MAY NOT REFLECT THE RESULTS
ACHIEVABLE AT OTHER INSTITUTIONS.
FOR RESEARCH USE ONLY, NOT FOR USE IN DIAGNOSTIC PROCEDURES