Redefining the unit economics of drug discovery for better patient outcomes
With an estimated 10⁶⁰ possible drug-like molecules, the chemical space is unimaginably large. And yet, most programs still start from the same limited chemical matter.
Traditional drug discovery begins from known compounds (screening hits, literature scaffolds, familiar chemical matter…) and then commits to long, costly optimization cycles, over-investing in the exploitation of limited starting points.
Variational AI believes in a different approach. Using generative AI, we design novel, synthesizable small molecules optimized across potency, selectivity, ADMET, and synthetic feasibility, giving R&D teams higher-quality leads to initiate their discovery programs.
Better starting points mean fewer costly iterations, faster timelines, and a higher probability of success, so more programs reach the patients who need them.
From target product profile to synthesis-ready leads in weeks
Enki™ generates novel lead-like structures to meet selectivity, potency, toxicity, and pharmacokinetic program goals.
1. Define the preclinical target product profile (TPP)
Specify the On/Off-targets and physico-chemical properties of the molecules as input for Enki™ generative AI.
2. Enki™ generates compounds
Enki™ generates novel and diverse structures that meet the defined TPP.
3. Make your selection
Pick compounds you want to synthesize and test. Enki™ can also perform hyper-efficient lead optimization while constrained to a defined scaffold.
Built for early-stage drug discovery
Enki™ is purpose-built for the earliest stages of small molecule drug discovery — generating first- and best-in-class compounds for 760 pre-trained drug targets spanning kinases, GPCRs, proteases, oxidoreductases, hydrolases, ion channels, and other key target classes.
Generative AI, not screening
Enki™ generates novel molecular structures de novo — moving beyond fixed screening libraries to explore uncharted regions of chemical space.
Multiparameter optimization
Enki™ simultaneously optimizes across 50+ parameters — potency, selectivity, toxicity, ADMET, PK, synthetic accessibility, and more…
The team behind Enki™
At Variational AI, we bring together machine learning researchers, chemists, and biotech professionals united by one mission: transforming early drug discovery with generative AI. Our cross-disciplinary team is always looking for new talents to push the boundaries of science and technology alongside us.
In the Press
Latest News
Variational AI releases Enki 4: Major update to foundation model for small- molecule drug discovery
Variational AI introduces Enki™ 4: an improved algorithm and architecture designed to scale, expanding the pre-trained target coverage from 592 to 760 and now applicable to proximity-based therapeutics and novel… Read More about Variational AI releases Enki 4: Major update to foundation model for small- molecule drug discovery
Update: Advancing CNS-penetrant ATR inhibitors with Enki™
Building on their initial hit series, Variational AI and Rakovina Therapeutics share promising new results on ATR inhibitors generated with Enki. The latest findings reveal compounds that balance potency, selectivity,… Read More about Update: Advancing CNS-penetrant ATR inhibitors with Enki™
Variational AI Enters Collaboration with Merck to Apply Generative AI to Drug Discovery
Variational AI, a generative AI drug discovery company, announced a collaboration with Merck, known as MSD outside of the United States and Canada, to apply Variational AI’s Enki™ platform to… Read More about Variational AI Enters Collaboration with Merck to Apply Generative AI to Drug Discovery
Variational AI & Life Chemicals join forces to discover selective dual EGFR/FGFR1 inhibitors using generative AI
Following their successful 2022 collaboration, which targeted the SARS-CoV-2 main protease, Variational AI and Life Chemicals have partnered for a second time to discover de novo generated selective dual EGFR/FGFR1… Read More about Variational AI & Life Chemicals join forces to discover selective dual EGFR/FGFR1 inhibitors using generative AI
Upcoming Events
San DiegoVariational AI at Drug Discovery Chemistry 2026
Variational AI will participate in Drug Discovery Chemistry 2026, a premier conference for scientists focused on the discovery and optimization of small-molecule therapeutics. The event brings together medicinal, biophysical, and computational chemists from pharmaceutical companies,… Learn More about Variational AI at Drug Discovery Chemistry 2026
VancouverVariational AI to speak at ALL IN Talks West
Variational AI will participate in ALL IN Talks West, an event bringing together researchers, industry leaders, builders, and decision-makers focused on the practical deployment of artificial intelligence systems in real-world environments. “From World-Class Research to… Learn More about Variational AI to speak at ALL IN Talks West
TorontoVariational AI to Participate in the Bloom Burton Healthcare Investor Conference
Variational AI will participate in the Bloom Burton & Co. Healthcare Investor Conference (BBHIC), one of North America’s leading gatherings for healthcare investors and emerging life sciences companies. Meet with Variational AI Handol Kim, Co-Founder… Learn More about Variational AI to Participate in the Bloom Burton Healthcare Investor Conference