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We Are Reinventing Small Molecule Drug Discovery
We have to tackle the most challenging, seemingly impossible targets and streamline the drug discovery process to give drug developers more shots on goal.
Patents
IP estate with 19 issued and 12 pending patent applications.
Publications
Scientific peer-reviewed publications.
Pipeline
R&D pipeline covering all major disease areas.
Our Approach is Differentiated from Other Computational Drug Discovery Methods
Ability to Drug Poorly Categorized Targets
- No crystal structure required
- No local ligand training data required
Ability to Interrogate Vast Chemical Space
- 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
Scalable Discovery Engine
- Global model used across all targets
- Rapidly scalable and industrialized discovery process
Network Effects Drive Model Predictability
- Continued generation and integration of training data drives enhanced global model predictability
- Team of ML scientists constantly evolving algorithms as we generate more robust data sets
Building AI solutions for every healthcare need
We don’t only implement artificial intelligence solutions for healthcare although that’s what we competently do but also ensure interoperability between the newly built AI apps and other healthcare IT systems, such as EHR, EMR, patient portals, and population health management software, creating coherent and secure tech environments.
- New cardiac capabilities
- Performance improvements
- Workflow enhancements
Best in Class Engineering Architecture and Tools
The AtomNet® platform is built with industry-leading tools for AI and ML technology that enable massive scale and unprecedented speed needed to create a deep and broad pipeline of drugs to improve human health.
Technical Partners
Learn more about our portfolio, pipeline and career opportunities.
Developing next-generation ML models
Our unique AI capabilities allow us to train state-of-the-art
machine learning models that are:
Trained on high-quality data
Worldwide, multimodal, and expertly curated datasets sourced from our Data Alliance Network.
Powered by Federated Learning
Trains robust models on distributed data across different hospitals without exposing their patients’ sensitive data.
Interpretable by design
Unique algorithms allow researchers to understand the model’s conclusions and identify biomarkers.
Fuel precision medicine
Accessible to our clinical and life science partners to power a precision therapeutic approach.
