Why We Built Vecentra
Building truth-driven AI to shorten the road from molecule to medicine.
Follow Our BuildOur Mission
Democratise AI-powered drug discovery so every scientist can design safer therapies in weeks, not years — always anchored in data truth.
Our Vision
The Challenge We're Solving
90%1
Clinical Failure
Most drug candidates fail in expensive late-stage trials
$2.23B2
Per Drug
Average cost to bring one drug to market
10-123
Years
Traditional drug development timeline
1. BIO / Biomedtracker "Clinical Development Success Rates 2011-2020"
2. Deloitte, Measuring the Return from Pharmaceutical Innovation 2024
3. Tufts Center for the Study of Drug Development (DiMasi et al., 2024)
Our Approach
Predict
AI models forecast molecular behavior and therapeutic potential
Generate
Design novel compounds optimized for safety and efficacy
Validate
Wet-lab verification confirms computational predictions
Development Roadmap
MVP Platform Launch
Predictive engine with IC50 and toxicity prediction
Generative AI Molecules
First AI-designed compounds for in vitro testing
Partnerships
Co-validation projects and research collaborations
Our Values
Guiding principles for responsible innovation
Integrity
Honest data, transparent methods, verified results
Transparency
Open about limitations, clear about capabilities
Equity
Democratizing access to advanced drug discovery
Responsibility
Patient safety above profit, ethics in every decision
Responsible AI Development
Planned actions for 2026: independent model-bias review, formal security audit, publication of validation studies. We're committed to building AI that serves humanity while maintaining the highest ethical standards.
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