Every year, pharmaceutical companies waste billions on drugs that fail in human trials despite perfect lab results. BioCorteX asks a simple but revolutionary question: what if the answer isn't in the drug, but in our bacteria? With just 20 employees, they're building an AI-powered model to predict whether a drug will work for *you* based on your unique microbiome.

"The human-bacterial relationship isn't a side effect—it's the main event for drug efficacy."

The tech stack is modern but pragmatic: Tailwind CSS and Bootstrap for rapid UI development, jQuery and Swiper for interactivity, plus PWA capabilities for offline access. They're clearly building for both web and mobile deployment, likely targeting clinical workflows where connectivity is spotty. The presence of Twitter Cards and RSS suggests they're thinking about content distribution and thought leadership from day one.

• Revenue model likely involves pharma partnerships for clinical trial optimization
• 56% organic traffic suggests strong SEO strategy targeting long-tail medical queries
• Microbiome data science is a moat—few teams have both clinical and computational depth
• Top search keyword 'n1c 4ew' (190 volume) is mysterious—could be internal code or emerging term