A proteomics centered AI powered drug discovery platform

proteinprotein
01

AGGREGATE

The Protai atlas 

Over 50K clinical samples

Public data  
Academic and pharma partnerships
Proprietary clinical samples

We have created the largest, most robust proteomic atlas available today by harmonizing large clinical datasets as well as healthy samples from various organs and indications. This provides us with a baseline for downstream pattern recognition of specific causal targets to modulate.

02

Enhance

Super-resolution proteomics

Leveraging mass spectrometry proteomics and other protein-oriented large scale datasets, we are building machine learning models to identify up to 1,000,000 proteo-forms including post-translational-modifications, protein-protein-interactions, quantification and different structural populations of proteins.

03

PRIORITIZE

Target prioritization engine

After identifying the proteome of both healthy and diseased samples, we prioritize the higher value targets for in-vitro and in-vivo validation. Utilizing biology, chemistry and machine learning, we apply a multidisciplinary approach to predict which targets are the best candidates to further pursue.

04

DISCOVER

The best drug candidates

We leverage dynamics and structural proteomics AI to precisely discover and characterize modulators that reshape the outcome of complex diseases.
Being modality agnostic, our platform utilizes data across a variety of therapeutic agents.
As such, it produces an optimal therapeutic lead from the combined space of small molecules, antibodies, PROTAC and other cures.

Let's talk

Get in touch with us for questions and potential collaborations.

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