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AI Generated Healthtech Motion Graphics

Industry
Healthcare & Biotechnology
Objective
Visualize Molecular Science
Turnaround Time
3 Weeks
Hours Invested
90 Hours
Tools & Technology Used
Blender Midjourney Adobe Illustrator After Effects
Project Thumbnail
OVERVIEW
The Client

A clinical-stage biotechnology startup utilizing machine learning models to identify cancer treatment compounds.

The Challenge

Scientific explanations are frequently too abstract and difficult to convey visually to non-technical seed investors.

Project Objective

Blend generative textures with 3D molecular renders to demonstrate machine learning algorithms sorting through billions of protein fold structures.

Execution Process

01

Scientific Discovery

  • Reviewing research papers on protein folding mapping
  • Storyboarding the molecular structures
02

Animation

  • Combining Blender simulations with AI-assisted particle effects

Performance Metrics

$5.2 Million Series A Raised
Investor Funding Secured
84% during Investor Meetings
Average Retention

Cinematic Stills

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