Disease is a network, 
so we discover drugs that way

Most pharmaceutical companies build medicine to alter a single protein, but many diseases like drug-resistant cancer or chronic kidney disease can’t be defined that way.

Arpeggio measures thousands of mRNA changes each time we profile a potential drug. We then match a drug’s network effect to a disease network without ever needing to reduce it to a single protein.
Watch Arpeggio's automated workcell in action.
+125,000
Curated Compounds
+250,000
Chemotranscriptomes Generated
+2.3B
mRNAs Measured
Our technology

A laboratory built to monitor 
the transcriptome

Chemical Barcoding
CHEMICAL Barcoding
Disease Barcoding
Gen AI
Chemical Barcoding
In order to match a potential therapeutic intervention to disease barcode, we needed to build a chemical barcode using transcriptomics. To date, global mRNA sequencing is too expensive to profile the vast potential of chemistry that might become a drug. To solve this we've developed our GRETA™ platform, a dramatic technology shift in biomedical research that allows us to sequence global mRNA 300-fold cheaper and faster than traditional technologies. Arpeggio has created the world's largest database of chemotranscriptomics, discovering an entirely new chemical grammar.
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Disease Barcoding
Every cell in our body has the same genome, but a hair 
follicle looks a lot different than a neuron. This is due to a 
cell’s transcriptome: the set of more than 20,000 mRNAs uniquely oriented to define a cell’s identity. No surprise, the transcriptome changes dramatically in diseases like breast cancer or chronic kidney disease.  We use CRISPR to engineer disease models and estimate a transcriptomic barcode.
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Generative AI and DRUG-NETTM
Advances in machine learning like Generative Adversarial Networks or Transformer Architectures have created the current generative AI revolution. At Arpeggio, we’re using AI to generate drug-like molecules guided by the transcriptome, developing Structure-Activity Relationships with RNA fingerprints directly. Saving time and cost, our DRUG-NETTM stack predicts a potential drug's toxic side effect before we even make or test it.  
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Our Pipeline

Chronic disease

99.5% of adults over fifty will have a chronic disease by 2040. We're working on developing a pipeline of potential
drugs to tackle drug resistance in cancer, 
chronic kidney disease, and neurodegeneration.
View our pipeline