Making Drug Discovery Accessible
Every researcher deserves powerful tools, regardless of budget. Experience professional molecular design at prices that make sense for everyone, from graduate students to established biotechs.
Mission
While breakthrough medicines will require significant investment, early discovery tools powered by advanced AI shouldn't break the bank. H:L delivers professional-grade molecular generation through scaffold-guided exploration, with expert data curation and medicinal chemistry principles guiding model development.
Antibacterial β-lactam classes are live today, and the catalog grows as models are trained.
Your molecules remain yours. Session-only storage for 8 hours while you work, then automatic deletion. No database storage, no training on your data, no ownership claims on molecules generated, edited, or modified through H:L.
Values
Privacy First, Always
Your molecules belong to you: never saved to a database, never trained on, never claimed. GDPR-compliant architecture built for researchers who value their intellectual property.
Democratizing Drug Discovery
Advanced AI tools made simple. Professional molecular design shouldn't depend on the size of your lab or the size of your budget.
Meeting Urgent Needs
Pandemic preparedness and antibiotic resistance won't wait for perfect solutions. Researchers need accessible tools today.
Speed to Quality Molecules
Focus on what matters: getting quality molecules quickly. Results in minutes, not days. Generate, filter, predict, export, and take your best candidates to synthesis and testing.
Why I Built This
The challenges facing medicine today are pressing. Antibiotic resistance threatens to undo decades of progress in infectious disease. Emerging pathogens demand rapid responses. Chronic diseases like heart disease and cancer continue to affect millions. Rare diseases remain underserved, and novel therapeutic approaches often lack accessible development tools.
These problems require community effort. No single entity can solve them alone. Every researcher working on these challenges needs tools that accelerate discovery without creating new barriers.
I built H:L so researchers can spend their time on the chemistry, not the computational plumbing: generation, property prediction, filtering and editing in one place, with no installs, no dependency conflicts, no environment setup and no cloud GPUs to provision. The AI makes suggestions; your judgment ultimately decides what to pursue. The scaffold-based approach leverages proven drug frameworks while exploring new chemical space. Every model is curated with therapeutic applications in mind, starting with the antibiotic classes where resistance is most pressing.
I hope these tools prove useful in your efforts to accelerate drug discovery. If they remove even small barriers in your research, then H:L serves its purpose.