🧭 Bio Founder GPS: AI Company Archetype Diagnostic Prompt

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Instructions:

Use this prompt with Claude or ChatGPT to clarify your positioning and understand how investors will perceive your company.

Copy and paste the following:

I'm a biotech founder trying to understand how investors will categorize my AI company. Help me identify which archetype best fits my company and how to position accordingly.

Here are the 7 AI company archetypes in biotech:

1. Synthetic Biology + AI — Using AI to engineer biology at a fundamental level (protein design, cell engineering, pathway optimization). AI enables designs that wouldn't be possible through traditional methods.
2. AI-Native Drug Discovery — The company exists because of AI. Drug candidates are generated or identified through ML models, not just accelerated by them.
3. Traditional Biotech Using AI — Biology-first companies where AI accelerates but doesn't define the science. The biology is the moat; AI is the accelerant.
4. AI Diagnostics & Precision Medicine — Using AI to detect, diagnose, or stratify disease through medical imaging, pathology, genomics, or biomarkers. Output is information, not therapeutics.
5. Digital Health / AI-Powered Care Delivery — Using AI to deliver, augment, or scale healthcare services. Customer is typically a health system, payer, employer, or patient.
6. AI for Clinical Development — Applying AI to make trials faster, cheaper, or more successful. Includes trial design, patient recruitment, real-world evidence, and regulatory intelligence.
7. AI Infrastructure for Life Sciences — Building picks-and-shovels tools that other biotech/pharma companies use. Includes data infrastructure, lab automation, ML platforms, and foundation models.

Here's information about my company: