AtlasGEN Novel Drug Designer
Generative AI platform for novel drug discovery with pre-validated hits and vast chemical search space
Company profile
Company profile
VeriSIM Life is a drug discovery and development company that leverages artificial intelligence to accelerate the translation of drug candidates to clinical trials. The company's flagship platform, BIOiSIM, is a first-in-class decision engine that combines chemical and biological modeling with AI and machine learning to predict how drugs will affect patients. The platform's proprietary Translational Index technology evaluates drug candidates across multiple dimensions including safety, toxicity, efficacy, pharmacokinetics, and pharmacodynamics. BIOiSIM features an inferential search space of 1 billion drug-like compounds, 10 billion network effects in deep learning algorithms, and 800 billion potential simulation scenarios. The platform achieves 83% average accuracy in predictions from structure-only inputs and has been validated through 1.5 million real simulations. VeriSIM Life's technology addresses critical pain points in drug development including drug repurposing, formulation optimization, drug-drug interactions, and patient stratification. The company also operates PulmoSIM Therapeutics, a wholly-owned brand that identifies licensable candidates for preclinical translation and out-licensing. VeriSIM Life serves pharmaceutical companies, biotechnology firms, and academic research institutions through AI-driven services and risk-sharing collaborations. The company's mission is to eliminate inaccuracy and waste in translating drug candidates to clinical trials, ultimately addressing the unmet needs of patients with rare and complex diseases.
Company description VeriSIM Life official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas deployment with recorded integration context.
Company milestones
NIH Phase II STTR grant awarded for stimulant use disorder therapeutics discovery; FDA/NCTR research collaboration formalized; Dr. Jo Varshney named to Inc.'s Female Founders 500
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Generative AI platform for novel drug discovery with pre-validated hits and vast chemical search space
AI-driven decision engine for drug discovery and R&D de-risking with Translational Index technology
AI-driven platform addressing formulation challenges including solubility, stability, and dose optimization
AI-powered platform for identifying new uses for existing drugs with reduced development risk
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
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Research
No linked records are currently available.
Clinical validation
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Regulatory
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04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
predictions from structure-only inputs
than mechanistic non-informed tools
protein-ligand binding affinity prediction vs molecular docking
therapeutic window and optimal dosing predictions validated by CRO
Repurposing and developing a topical formulation for erectile dysfunction containing three known drugs, determining feasibility of different route of administration
80%+ accuracy in identifying different route of administration, validated therapeutic window and predicted optimal dosing for three compound-mixes. Client filed IP and applied for IND approval.
05 · Leadership
Leadership profiles and professional links from the current Company record.
Jo Varshney
Founder & CEO
06 · Company updates
Recent articles published on VeriSIM Life's official website.
07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
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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