MolWard is democratizing predictive computational toxicology. Legacy tools are expensive 'black boxes' with clunky IT installs. We’ve built a zero-installation, cloud-native SaaS that instantly predicts chemical degradation pathways and FDA CPCA nitrosamine hazards. We offer absolute logic transparency—showing the exact SMIRKS and ML rules used—and a strict zero-retention architecture so your proprietary IP is never stored. To celebrate our Beta launch, MolWard is 100% free for all of 2026!
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Maker
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Hi Product Hunt! I’m Dr. Manuel Alves Falcão, founder of MolWard.
I’ve spent the last 15 years as a pharmaceutical scientist navigating complex FDA and ICH regulations, and I noticed a massive roadblock in how the industry handles drug stability and chemical risk.
The Problem: Traditional empirical stress testing takes months and costs hundreds of thousands of dollars. Existing predictive software (to simulate this in silico) is locked behind $20k+ annual enterprise licenses, requires clunky on-premise IT installations, and operates as an opaque "black box" that regulators hate. This completely locks out mid-market formulators, CROs, and academic researchers.
The Solution: We built MolWard to democratize predictive computational toxicology. It is a zero-installation, browser-based SaaS that instantly predicts chemical degradation pathways and nitrosamine hazards.
Here is what makes MolWard different:
Instant Compliance: Automatically calculates ICH M7 mutagenicity predictions and FDA CPCA nitrosamine potency scores.
Absolute Transparency: No black boxes. We display the exact deterministic chemical rules (SMIRKS) and machine learning logic used so you can actually defend your data to regulatory agencies.
Zero-Retention Architecture: We know your IP is your most valuable asset. MolWard processes proprietary molecular structures exclusively in volatile RAM. Once your report is generated, your data is completely purged. We store nothing.
Whether you are a generic formulator trying to secure an ANDA, a CRO analyst, or just a tech enthusiast who loves seeing complex cheminformatics in action, I would love for you to test the platform.
Please drop your feedback, questions, or feature requests in the comments below.