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Biotech Intent Navigator

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.

Problem Context

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.


Approach & System Design

The system follows a simple, modular pipeline:

1. Identification

Profiles are selected based on role relevance (e.g., toxicology, safety, preclinical leadership), research focus, and geographic hubs.

2. Enrichment

Each profile is enriched with:

  • Role seniority
  • Research activity (recent publications)
  • Funding stage / organizational readiness
  • Person location vs company HQ

3. Scoring (Core Logic)

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.

4. BD Action Recommendation

Each lead includes a suggested next outreach step (e.g., email intro, conference connect, LinkedIn warm-up).


Data & Assumptions

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

Tech Stack

  • React + TypeScript
  • Vite
  • Tailwind CSS
  • shadcn/ui

The project was built using a rapid prototyping workflow to iterate quickly on logic and UX.

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