Biotech Intent Navigator is a lightweight AI-powered Business Development intelligence tool designed to help prioritize biotech and pharmaceutical professionals based on their likelihood to adopt 3D in-vitro models for therapy design.
The project focuses on decision intelligence — combining scientific intent, role relevance, organizational readiness, and geographic signals to rank leads in a way that mirrors how a real BD team would think.
Business development teams in deep-tech biotech often struggle with lead overload. Traditional lead lists lack context around:
- Who is scientifically active right now
- Who has decision-making power
- Which organizations are funded and ready to experiment
- Where outreach is most likely to convert
This project was built to address that gap by prioritizing intent, not volume.
The system follows a simple, modular pipeline:
Profiles are selected based on role relevance (e.g., toxicology, safety, preclinical leadership), research focus, and geographic hubs.
Each profile is enriched with:
- Role seniority
- Research activity (recent publications)
- Funding stage / organizational readiness
- Person location vs company HQ
Each lead is assigned an explainable Propensity-to-Buy Score (0–100) based on weighted signals:
- Role Fit (30)
- Scientific Intent (40)
- Company & Funding Readiness (20)
- Location Signal (10)
The goal is not just ranking, but explaining why a lead ranks high.
Each lead includes a suggested next outreach step (e.g., email intro, conference connect, LinkedIn warm-up).
This demo uses synthetic but realistic data to focus on reasoning, prioritization, and scoring logic rather than live scraping.
The architecture is designed to be API-ready and can be extended to real data sources such as:
- LinkedIn / Sales Navigator
- PubMed / Google Scholar
- Crunchbase / PitchBook
- React + TypeScript
- Vite
- Tailwind CSS
- shadcn/ui
The project was built using a rapid prototyping workflow to iterate quickly on logic and UX.