MOLECULE TO MARKET — AI THAT ACCELERATES DRUG DISCOVERY
QuantRx is an AI-powered platform that transforms the pharmaceutical R&D lifecycle — from drug discovery to post-market surveillance. It advanced analytics, machine learning, and realworld data to accelerate development, reduce costs,and improve success rates.
Drug Discovery
Omics Data Analysis
Integrates genomics, proteomics, and transcriptomics data
Knowledge Graphs
Maps complex biological relationships for novel target discovery.
Disease Association Modeling
Predicts gene-disease links using public databases
Virtual Screening
AI filters millions of compounds to identify promising candidates.
Docking Score Prediction
Deep learning models forecast binding affinities to targets.
QSAR Modeling
Quantitative structure-activity relationship models to refine leads.
Preclinical Development
ADME Prediction
Forecast absorption, distribution, metabolism, and excretion properties using predictive models.
Bioavailability Analysis
Simulate how candidate drugs behave in the human body without lab testing.
Toxicity Classifiers
Identify hepatotoxicity, cardiotoxicity, and other safety risks using trained models.
Early Risk Flagging
Detect potential adverse effects before animal studies, reducing costly failures.
Compound Testing
Simulate drug interactions in digital models of biological systems.
Data Aggregation
Centralizes lab, assay, and predictive data for real-time insights.
Clinical Development
Trial Frameworks
Enable dynamic protocol adjustments based on real-time data.
Historical Trial Analytics
Used AI to learn from past trial data andrefine inclusion/exclusion criteria.
EHR Mining
Extract eligibility criteria from unstructured clinical records
Stratification Tools
Identify subpopulations with higher response potential for targeted recruitment.
Risk-Based Monitoring (RBM)
Automatically prioritize sites and patients for closer oversight.
Patient Response Analytics
Used machine learning to monitor biomarkers, treatment efficacy, and safety signals during trials.
Formulation & Manufacturing
Physicochemical Stability
Forecast compound behavior over time under various conditions using machine learning.
Dosage Form
Recommend the best form (tablet,capsule, injectable) based on solubility,bioavailability, and patient profile.
Twin Simulations
Create virtual replicas of manufacturing processes to test changes without disrupting operations.
Process Control
Continuously optimize mixing, granulation, and drying steps for quality and efficiency.
Predictive Maintenance
Forecast equipment failures before they happen, minimizing downtime.
Post-Approval & Pharmacovigilance
Signal Detection
Automatically identify potential adverse drug reactions (ADRs) from large-scale real-world data.
Multi-Source Integration
Aggregate data from EHRs, claims, registries, and social media platforms
Predictive Risk Models
Anticipate safety concerns before they escalate using historical and real-time data.
Stratified Safety Analytics
Assess drug safety across diverse populations, geographies, and comorbidities.
Data Infrastructure & Governance
Unified Data Repository
Integrates data across drug discovery,clinical trials, manufacturing, and postmarket surveillance.
Multi-Type Data Handling
Supports structured (e.g., lab data,EHRs) and unstructured (e.g., clinicalnotes, sensor data) formats.
Real-Time Ingestion Pipelines
Continuous data flow from lab systems, EDCs, LIMS, and external sources.
Industry Standards Support
Natively supports CDISC, HL7, FHIR, and OMOP formats.
Request a call back
Would you like to speak to one of our advisers over the phone? Just submit your details and we’ll be in touch shortly. You can also email us if you would prefer.
I would like to discuss:
Industries we covered
Biotechnology
Vaccines
Dietary
Veterinary
API
Nutraceuticals
AI Evolution in QuantRX
Predictive Modeling
For target-disease association, clinical trial outcomes, ADME/Tox prediction, and patient responses.
Classification Algorithms
Used in toxicity prediction (e.g., hepatotoxicity), regulatory risk detection, and adverse event categorization.
Clustering & Segmentation
Stratify patients, compound clusters, and manufacturing process behaviors.
Molecule Generation
Design novel compounds using SMILES-based GANs and variational autoencoders (VAEs).
Protocol Design
Auto-generate initial clinical trial protocols from historical benchmarks.
Things You Get
Our Expertise
Working with our certified experts means you get tailored, high-quality solutions, delivered on time and within budget. We ensure seamless collaboration, leveraging industry-best practices to bring your vision to life with efficiency and reliability.
Product Consulting
Customized Solution
Scalable Solution
User-friendly Interface
Data Security
