An illustration of data network overlaid on a dotted patient image to symbolizing biomarker discovery
An illustration of data network overlaid on a dotted patient image to symbolizing biomarker discovery

Pharma:

AI-Enabled Services Providing Therapeutic Intelligence & Biomarker Discovery

Preclinical

Elucidate mechanism of action & causes of resistance

Predict patient benefit and duration of response

Early-Clinical Development

Stratify patients into explainable subgroups

Nominate combination and sequential therapies

Late-Clinical Development

CTA development and validation with CLIA/CAP Diagnostic provider

Label expansion

a patient presented as a collection of dots

Get More With Less

Integrate and extract value from smaller datasets

Globally Diverse Data Repository

Meaningful information across a wider patient population

Reduced Clinical Trials Cost

$10-20 million in savings per late-stage trial from optimized, enriched patient cohorts and reduced adverse events

Win First- and Best-In-Class

Early market entry or greater market exclusivity, capturing $50-200 million in potential revenue

Gain a competitive edge with better-informed decision-making and execution

A foundation model of cancer biology

From the transcriptome to therapeutically relevant biology

Methodology

A methodology for oncology RNA biomarker discovery at scale

First-in-class patient classifier

The first and only biomarker that can accurately stratify KRAS patients by clinical response