Artificial Intelligence
for Drug Discovery
We use our Al engine to transform drug discovery and create better medicines.
Our AI platform accelerates the discovery and development of new drugs backed by leading investors.
Discovering & developing new drugs
We developed a machine learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small molecule medicines.
Leading Technology Development & Application
Focusing Expertise on the Most Challenging Problems
The secret to reinventing drug discovery with Al is people. We are dedicated to developing the best Al platform and using it to transform small molecule drug discovery.
Empowering pharmaceutical innovation with advanced AI tools for molecular analysis, therapy design, and clinical efficacy prediction.
Our solution for predicting the clinical success of new drugs before costly trials.
Our Products
AI-Driven Solutions for Drug Discovery
Our core AI engine for analyzing molecular interactions and optimizing drug discovery.
- AI-powered protein structure analysis
- Prediction of molecule-protein interactions
- Optimization of molecular interactions to improve efficiency
- Selection of potential drug candidates for specific protein targets
Key Features:
MolTech Discover
AI Platform for Small Molecule Discovery
Section 1:
Enhance the discovery of therapies targeting challenging protein structures.
- Supports complex protein structures
- Evaluates interactions with new therapeutic targets
- Optimizes small molecules for complex therapeutic challenges
Key Features:
MolTech Forge
Advanced Therapy Design Module
Section 2:
Seamlessly integrate laboratory data with our AI platform for real-time molecular analysis.
- Direct integration with laboratory workflows
- Automation of data transfer between lab systems and the platform
- Real-time molecular data analysis through API integration
Key Features:
MolTech Sync
Lab Integration API
Section 4:
- Clinical effect modeling
- Prediction of trial success probability through advanced data analytics
- Molecule optimization to increase the chance of successful trials
Key Features:
MolTech Predict
Predictive Analytics for Clinical Efficacy
Section 3:
Our solution for predicting the clinical success of new drugs before costly trials.
We provide the next generation of AI-driven solutions to optimize drug discovery processes. Our powerful tools help pharmaceutical companies accelerate timelines, reduce costs, and enhance success rates in developing new therapies for complex diseases.
Why Choose Cilerion?
Tools specifically designed to drive progress in therapies for complex and less-explored diseases.
Optimized for Complex Diseases
Technologies that cut R&D costs, making drug discovery more efficient and affordable.
Cost Reduction
Enhanced accuracy
in predicting clinical trial outcomes, minimizing risks of late-stage failures.
20-40% More Accurate
AI solutions that streamline drug development, significantly reducing time to market.
30-50% Faster
Company
In the race for drug discovery, Al is the new super power.
We are a technology-enabled pharmaceutical company leveraging the power of Al to revolutionize small molecule drug discovery. Our team invented the use of deep learning for structure-based drug design, a core technology of Cilerion's best-in-class Al discovery engine, which is differentiated by its ability to find and optimize novel chemical matter. We have extensively validated its discovery engine, having demonstrated the ability to find compounds with therapeutic potential hundreds
of times across a wide variety of protein types and multiple "hard to drug" targets. We are advancing a proprietary pipeline of small-molecule drug candidates. Our goal is to invent a better way to discover drugs that help patients.
About Cilerion
Learn about our award-winning MolTech technology.
How We Do It
We tackle the most challenging, seemingly impossible targets and streamline the drug discovery process to give drug developers more shots on goal.
We Are Reinventing Small Molecule Drug Discovery
Our Approach is Differentiated from Other Computational Drug Discovery Methods.
Our Approach is Differentiated from Other Computational Drug Discovery Methods
- No crystal structure required
- No local ligand training data required
Ability to Drug Poorly Categorized
Targets
- Global model used across all targets
- Rapidly scalable and industrialized discovery process
Scalable Discovery Engine
- Computational efficiency enables screening
of trillions of compounds in silico, increasing the likelihood of success
- Demonstrated exquisite model accuracy, overcoming the challenge of false positives
Ability to Interrogate Vast Chemical
Space
- Continued generation and integration of training data drives enhanced global model predictability
Network Effects Drive Model Predictability
- Team of ML scientists constantly evolving algorithms as we generate more robust data sets
The MolTech platform is built with industry-leading tools for Al and ML technology that enable massive scale ana unprecedented speed needed to create a deep and broad pipeline of drugs to improve human health.
Best in Class Engineering Architecture and Tools
Careers At Cilerion
Atoms Do More Than Collide. We Have Impact.
- Cilerion can only make better medicines faster with the collective efforts and expertise of our teammates, or Atoms. 
- Individually, Atoms have a localized impact thanks to their work on the bleeding edge where AI meets drug discovery. 
- Collectively, we are making a broad impact on the future of human health by solving some of the hardest problems facing drug discovery today, to find better medicines for tomorrow.
Strong leadership team to advance Al enabled drug discovery.
Our Leadership
Chief Technical Officer
Vladimir Redega
Chief Operating Officier
Anatoly Mironov
Chief Medical Officer
Vera Andriushchenko
Chief Executive Officer
Irina Petrenko
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