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AI-powered cancer drug discovery

Combining AI with 3D cell biology for unmatched drug discovery.

Finding better drugs, faster.

By combining the power of AI with the depth of 3D cell biology, we are pushing the boundaries of oncological drug discovery.

AI-enabled drug efficacy prediction for oncology compounds

Our AI-powered model predicts treatment success, identifies effective compounds from millions, understands mechanisms of action, and targets the patient segments that will benefit most.

AI-enabled predictive toxicology for oncology compounds

Our platform predicts the safety and toxicity profiles of oncology compounds in silico, identifies potential drug-drug interactions, and provides advanced 3D cell biology and morphology analysis.

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2D static cell image analysis
3D live cell image analysis

With access to state-of-the-art microscopy, we have created 3D image analysis pipelines that quantify cell shape distributions of perturbations in ways that are fast, robust, and account for heterogeneity in response to treatment. From this, we have built a proprietary dataset on which our novel machine learning model was trained.

This has a multiplicative impact on the predictive accuracy of our models.

Fail fast.
Bypass failure with predictive power of AI.

By combining the power of AI with the depth of 3D cell biology, we are pushing the boundaries of oncological drug discovery.

100%

accuracy in predicting the efficacy and specificity of drug candidates.

100%

accuracy in predicting the in vivo toxicity.

100k

melanoma cell images, on which our dataset has been validated.

Improving drug discovery.
Reshaping the drug development pipeline.

Broadening Search.

Cast a wider net within compound libraries to identify hidden potential.

 

Refining Focus, Faster.

Quickly narrow down to the most promising candidates with unparalleled accuracy.

 

Creating Certainty.

Utilize our extensive experience and state-of-the-art technology to achieve breakthrough results.

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Contact

237 Fulham Road

chris.bakal@gmail.com

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