AI-ACCELERATED DRUG DISCOVERY

AI-Powered Multiplatform Ecosystem for Drug Discovery

Our indication- and target-agnostic platforms accelerate small molecule and peptide design, delivering precision workflows for complex drug discovery through an integrated, AI-driven ecosystem.

Our Platforms

Monospecific

Monospecific

Small molecules

Linear peptides

Cyclic peptides

Peptidomimetics

Bispecific

Bispecific

Internalisation and relocalization enhancers

Protein proximity engagers

Degraders (PROTACs/LYTACs)

Membranotropic conjugates

PPI modulators

PPI modulators

Predicting PPI interfaces

 PPI disruptors

 PPI stabilisers

Molecular glues

Antibody mimetics

Antibody mimetics

Addressing targets validated by antibodies

High permeability

High selectivity

Oral administration

PPI modulators

Induced Proximity Platform

Ternary complex prediction

Protein degraders

Molecular glues

PPI disruptors

Bispecific

Monospecific Compounds Platform

Covalent/non-covalent drugs

Cyclic/hybrid peptides drugs

GPCRs, Kinases, Ion channels

Enzymes, Nuclear receptors

PPI modulators

Drug Conjugates Platform

Payload-linker systems

Targeting ligands

DNA/RNA-conjugates

Radiolabeled, ADCs, PDCs

End-to-end Drug Discovery for Precision Medicine

Our platform is tailored to the patient specific targets and allows designing highly selective and potent drug candidates with a high success rate

Target
Identification
Advanced identification of potential targets for precision medicine using best-in-class omics and population-level data analysis
Drug Candidate Design
40+ proprietary AI models are applied to design novel drugs for precision medicine using proprietary multi-level selectivity assessment
Experimental Feedback via Active Learning
Iterative experimental feedback integration from In vitro, in vivo and structure determination techniques to enforce target specificity.

End-to-end Drug Discovery
for Precision Medicine

Our platform is tailored to the patient specific targets and allows designing highly selective and potent drug candidates with a high success rate

Target
Identification
Advanced identification of potential targets for precision medicine using best-in-class omics and population-level data analysis
Drug Candidate Design
40+ proprietary AI models are applied to design novel drugs for precision medicine using proprietary multi-level selectivity assessment
Experimental Feedback via Active Learning
Iterative experimental feedback integration from In vitro, in vivo and structure determination techniques to enforce target specificity.
Receptor AI Knowledge Engine
Our engine is a robust scientific data processor trained to establish multiple biological relationships between diseases, proteins, genes and pathways, etc

Co-development pipeline

Co-development pipeline

Case studies

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Platform Benefits

Platform Benefits
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Collaborations & Partnerships

Revolutionize Drug Discovery with Integrated AI Solutions
Pharma Companies
Pharma
Companies
Biotech Companies
Biotech
Companies
JointVentures
Joint
Ventures
Academic Research
Academic
Research
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