Company profile

Verge Genomics

Drug Discovery & Development

Company profile

About Verge Genomics

Verge Labs is a biotechnology company pioneering the application of frontier artificial intelligence to human biology, with a primary focus on neurological diseases. Over the past decade, the company has assembled one of the world's largest proprietary collections of multi-modal patient brain data, comprising deep molecular profiling on 12,000+ brains across 6,000+ patients. This dataset includes paired proteomic, genomic, and clinical data, plus a physical inventory of 900+ frozen brain tissue samples spanning major neurodegenerative diseases. The company has developed vBx-1.0, a breakthrough multi-modal foundation model for precision neurology that functions as a 'virtual biopsy' of the brain. This model can predict brain activity, therapy response, and side effects in patients with up to 3x greater accuracy than previous state-of-the-art models. By reconstructing what's happening inside a patient's brain from routine blood draws, the platform enables precision medicine approaches in neurology. Verge Labs' CONVERGE platform serves as an AI operating system for neuroscience drug development, addressing critical questions around target discovery, target characterization, biomarker identification, and patient stratification. The company has established $1.6B in partnerships with top-20 pharmaceutical companies and has advanced two AI-discovered drugs to clinical candidate stage, including VRG50635, which completed a Phase 1b trial in ALS in late 2025. The platform has surfaced 280+ novel drug targets with an 83% preclinical validation rate, demonstrating the power of starting drug discovery directly in human tissue rather than relying on animal models or cell culture systems.

Company description Verge Genomics official website

Primary marketDrug Discovery & Development
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • ALS (Amyotrophic Lateral Sclerosis)
  • neurodegenerative diseases
  • neurological diseases
  • Parkinson's disease

Who it serves

  • Biotech
  • Pharma
  • Research

Deployment & integration

Api Only · Cloud Saas · Other deployment with recorded integration context.

Geographic context

Marketsglobal (partnerships across four continents) · United States
Company sourceOfficial website

Company milestones

Platform expansion

June 2026: Released vBx-1.0 foundation model for precision neurology. Late 2025: Completed Phase 1b trial for VRG50635 in ALS. Two AI-discovered drugs reached clinical candidate stage. 280+ novel drug targets surfaced.

Partnerships

Recorded partners

  • 21+ brain banks, hospitals, academic medical centers, and research consortia across four continents
  • top-20 pharmaceutical companies ($1.6B in partnerships)

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

CONVERGE

AI operating system for neuroscience drug development powered by foundation models

Platform · Cloud SaaSCompany source

vBx-1.0

Multi-modal foundation model for precision neurology and virtual brain biopsies

Model · Api OnlyCompany source

VergeDB

Largest proprietary multi-modal brain tissue collection for neuroscience research

Platform · OtherCompany source

VRG50635

AI-discovered drug candidate for ALS treatment

Other · OtherCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

3x greater accuracy in predicting brain activity, therapy response, and side effects

vBx-1.0 vs previous state-of-the-art models

43% reduction in trial enrollment

Parkinson's L-DOPA responder enrichment at fixed statistical power

83% preclinical validation rate

Novel drug targets surfaced by platform

69% responder fraction vs 52% baseline

Parkinson's trial enrichment with vBx-1.0

Tenacia Biotechnology

Advance Tenacia's CNS pipeline using human data and CONVERGE platform

Eli Lilly

Novel target discovery in amyotrophic lateral sclerosis (ALS) using CONVERGE platform

Two AI-discovered targets nominated into Eli Lilly's ALS pipeline

Alexion (AstraZeneca)

Deploy CONVERGE to discover new targets across multiple rare neurodegenerative and neuromuscular diseases

$42M in upfront and near-term collaboration to work on 4 initial targets

Parkinson's Disease Clinical Trial (Hypothetical)

Enriching a Parkinson's trial for L-DOPA responders using vBx-1.0

Lifted responder fraction from 52% to 69%, shrinking required enrollment by 43% at fixed power

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

Emily Ripka

Head of Product & Engineering

LinkedIn

06 · Company updates

Updates from Verge Genomics

Recent articles published on Verge Genomics's official website.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

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Market context

Drug Discovery & Development

Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.

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10 · Pro research

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Expanded Company research is in development.

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ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

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