Build a marketing landing page for an AI personalized medicine startup targeting oncologists and research hospitals.
The page must include:
Hero section:
- Bold headline: "Treatment plans built for one patient, not a population"
- Subheading explaining the problem: today's guidelines are averages — this platform synthesizes each patient's genomic, clinical, and molecular data to find the highest-probability treatment for them specifically
- Primary CTA: "Request a Clinical Demo"
- Hero visual: a patient profile card with genomic markers linking to ranked treatment options
Problem section:
- Title: "One size does not fit all in oncology"
- 3 data points: percentage of patients who don't respond to first-line therapy, average time to find an effective treatment, cost of trial-and-error prescribing
- Short copy on how population-average guidelines fail individual patients
How it works:
- 3-step visual: Synthesize (genomic + EHR + biomarker data) → Analyze (AI matches against molecular databases and trial evidence) → Recommend (ranked treatments with evidence grades and contraindication flags)
Key capabilities (3-column grid):
- Pharmacogenomic drug response prediction
- Matched clinical trial identification
- Contraindication flagging from genetic variants
Who it's for:
- 3 personas: Oncologist, Research Hospital, Pharma R&D team — each with a one-line benefit statement
Trust and compliance section:
- HIPAA compliant, FDA SaMD framework alignment
- IRB and ethics partnership process
- 2–3 placeholder quotes from clinical advisors
Contact / demo request form:
- Name, institution, role, use case description
- "Request Early Access" submit button
Footer with company name, tagline, and contact email.
Create a modern startup design inspired by Y Combinator (YC) companies.
Choose one bright primary color and build a clean, minimal color scheme around it.
The design should feel bold, simple, and product-focused with strong typography, generous whitespace, and clear hierarchy.
Builds a marketing landing page for an AI personalized medicine platform. Highlights the problem with population-average treatment, the multi-omic data approach, and a sign-up form for early clinical partners. Genomic pipelines, FHIR integrations, and regulatory compliance require infrastructure far beyond a site builder.