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BRING DATA
TO LIFE.

See how disease models work

From trial and error to predictable medicine

Pharmaceutical partners

ACCELERATING TIME

MoleticAI Data Pipeline vs Business as Usual Pipeline
Benefits of MoleticAI: Faster biomarker discovery, reduced screening, and lower costs

Disrupting Drug Discovery Times & Costs at All Stages

Drug discovery pipeline showing early discovery, pre-clinical studies, clinical studies, drug registration, and drug repurposing

Purpose Built for Multi-Omics and Medicine Data

Our platform can parse multi-omics data, including Genomics, Transcriptome, Metagenome, Proteome, Metabolome, Phenotype/Clinical Data and Images, enabling you to discover the insights you need fast and efficiently.

Multi-omics data funnel

Machine Learning for Precision Health & Medicine

Real-World Examples of Multi-Omics Data Analysis

Rare Disease Diagnosis

Integrated genomic, transcriptomic, and proteomic data to identify novel biomarkers in patients with undiagnosed rare diseases, reducing diagnostic time from years to weeks.

70% increase in diagnostic yield

Cardiovascular Risk Prediction

Combined genomic, metabolomic, and clinical data to develop a more accurate cardiovascular risk prediction model, identifying high-risk patients before symptoms appear.

85% prediction accuracy vs. 62% with traditional methods

Cancer Treatment Response

Analyzed tumor genomics, transcriptomics, and immune profiles to predict patient response to immunotherapy, enabling personalized treatment selection.

3.5x improvement in treatment response rate

Drug Repurposing

Integrated transcriptomic, proteomic, and metabolomic data to identify existing drugs that could be repurposed for inflammatory bowel disease treatment.

Identified 3 promising candidates in 4 weeks