Enki™ is designed to make generating novel molecule structures easy. Expand your imagination in 4 easy steps

No data required. Just define your TPP and Enki does the rest. Enki is an ensemble of generative algorithms trained on decades worth of experimental data with proven results.

Define your TPP

Select your on-target(s), off-target(s),
and other properties in minutes.

AXL
EGFRs
PIK3s
CDKs
VEGFRs
90+ kinases
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The Enki™ Platform is the first commercially accessible foundation model for small molecules.

Company

Founded in September 2019, we are a team of experienced AI/machine learning researchers and medicinal and computational chemists applying state of the art generative AI to drug discovery in close collaboration with biopharmaceutical partners to redefine the unit economics of drug discovery and development.

Our Team

We are a team of experienced AI/machine learning and business specialists applying state of the art generative AI to drug discovery in close collaboration with biopharmaceutical partners to bring new therapeutics to market across disease areas and positively impact lives.

Handol Kim

Mehran Khodabandeh

Peter Guzzo

Roslynn Drewitt-Lange

Marshall Drew-Brook

Jason Rolfe

Artem Cherkasov

Ali Saberali

Ahmad Issa

Board, Observers, and Advisors

Funding, Partners & Investors

Founded in September 2019, we are a team of experienced AI/machine learning and business specialists applying state of the art generative AI to drug discovery in close collaboration with biopharmaceutical partners to bring new therapeutics to market across disease areas and positively impact lives.

In the Press

Cutting through the noise of machine learning for drug discovery

Generative Machine Learning Can Construct Smooth Chemical Search Spaces for Efficient Drug Discovery

Funding news: AI-fueled drug discovery startup and auto safety company raise cash

Handol Kim of Variational AI On The Future Of Artificial Intelligence

Recent News & Events

Variational AI is hiring!

Please see open job listing below or contact us if you would like to join the team in the area of machine learning, computational medicinal chemistry, and business development.