New
New
New
AI-drug hunter
Minimise ADME/PK clinical failure and fast-track the tranformation of molecules into safe and effective medicines
Minimise ADME/PK clinical failure and fast-track the tranformation of molecules into safe and effective medicines
Minimise ADME/PK clinical failure and fast-track the tranformation of molecules into safe and effective medicines
Multi-agentic AI taking on the full complexity of small molecules drug optimization
MISSION
MISSION
MISSION
MISSION
Empowering pharma R&D teams to move from molecule to high-quality clinical candidates faster, minimizing experiments and eliminating animal testing.
Empowering pharma R&D teams to move from molecule to high-quality clinical candidates faster, minimizing experiments and eliminating animal testing.
Empowering pharma R&D teams to move from molecule to high-quality clinical candidates faster, minimizing experiments and eliminating animal testing.
AI-drug hunter operates as a strategic coordinator, bringing together the insights and actions of medicinal chemists, pharmacologists, and computational scientists. It is your decision-making partner to guide multi-parameter optimization and manage complex tasks across teams.
FEATURE
Test molecules in a virtual human model
Let AI-drug hunter test ADME/PK properties virtually using our cutting-edge physics-infused AI engine, seamlessly integrated with physiological models to better predict pharmacokinetic profiles in humans.
FEATURE
Test molecules in a virtual human model
Let AI-drug hunter test ADME/PK properties virtually using our cutting-edge physics-infused AI engine, seamlessly integrated with physiological models to better predict pharmacokinetic profiles in humans.
FEATURE
Test molecules in a virtual human model
Let AI-drug hunter test ADME/PK properties virtually using our cutting-edge physics-infused AI engine, seamlessly integrated with physiological models to better predict pharmacokinetic profiles in humans.
FEATURE
Test molecules in a virtual human model
Let AI-drug hunter test ADME/PK properties virtually using our cutting-edge physics-infused AI engine, seamlessly integrated with physiological models to better predict pharmacokinetic profiles in humans.
FEATURE
Generative AI to design new experiments and guide molecular optimization
AI-drug hunter learns what it takes for a molecule to be safe and effective and generates novel and improved molecules.
FEATURE
Generative AI to design new experiments and guide molecular optimization
AI-drug hunter learns what it takes for a molecule to be safe and effective and generates novel and improved molecules.
FEATURE
Generative AI to design new experiments and guide molecular optimization
AI-drug hunter learns what it takes for a molecule to be safe and effective and generates novel and improved molecules.
FEATURE
Generative AI to design new experiments and guide molecular optimization
AI-drug hunter learns what it takes for a molecule to be safe and effective and generates novel and improved molecules.
FEATURE
Seamless integration to support successful decision making
Through an intuitive interface, R&D teams gain access to real-time predictions, goal-directed molecular editing, and synthesized insights from complex multi-modal data—putting the power of cutting-edge AI directly in their hands.
FEATURE
Seamless integration to support successful decision making
Through an intuitive interface, R&D teams gain access to real-time predictions, goal-directed molecular editing, and synthesized insights from complex multi-modal data—putting the power of cutting-edge AI directly in their hands.
FEATURE
Seamless integration to support successful decision making
Through an intuitive interface, R&D teams gain access to real-time predictions, goal-directed molecular editing, and synthesized insights from complex multi-modal data—putting the power of cutting-edge AI directly in their hands.
FEATURE
Seamless integration to support successful decision making
Through an intuitive interface, R&D teams gain access to real-time predictions, goal-directed molecular editing, and synthesized insights from complex multi-modal data—putting the power of cutting-edge AI directly in their hands.
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
Misogi QM and MD-based AI engine is the most powerful model in the market for predicting molecular properties
Misogi QM and MD-based AI engine is the most powerful model in the market for predicting molecular properties
Misogi QM and MD-based AI engine is the most powerful model in the market for predicting molecular properties
Our ML guiding principle? Unlocking the full power of data.
At the foundation of Misogi engine lies Miso-5D, a large model pre-trained on multi-modal, physics-driven data, including 4D molecular conformations and quantum mechanical (QM) properties across millions of molecules.
Our results show that leveraging physics-based molecular representations, rooted in the fundamental principles of chemistry, can make ML models more accurate with less data.
This approach enables us to make more accurate molecular property predictions and generalise across diverse chemical spaces—and it’s scalable across new tasks and data modalities.
Our ML guiding principle? Unlocking the full power of data.
At the foundation of Misogi engine lies Miso-5D, a large model pre-trained on multi-modal, physics-driven data, including 4D molecular conformations and quantum mechanical (QM) properties across millions of molecules.
Our results show that leveraging physics-based molecular representations, rooted in the fundamental principles of chemistry, can make ML models more accurate with less data.
This approach enables us to make more accurate molecular property predictions and generalise across diverse chemical spaces—and it’s scalable across new tasks and data modalities.
CONTACT
CONTACT
CONTACT
CONTACT