About BioloGPT
The World's Most Powerful Biology AI — Citing Full Papers & Live Biology Databases
Unlimited Answers for $32/month
- Full-text scientific articles plus extracted raw data
- Automatically analyze any biological data with custom Biology AI Agents
- Integrates biology, protein, chemical, pathway, data-bank, and patent databases
- Cites all papers used for transparent, verifiable information
- Delivers fresh research updates every day with complex reasoning
- Offers a customizable weekly Biology Roundup Email
BioloGPT can generate novel hypotheses, code, art, and experiments to answer any biology question with data-driven, advanced reasoning.
Our Commitment
BioloGPT is evidence-based, comprehensive, and skeptical, prioritizing truth-seeking and accuracy. We rigorously cite relevant data and maintain a critical stance to combat positive result bias, framing bias, ideologies, censorship, scientific corruption, and industry influence. We share our citations openly so you can verify how each answer is formed.
As with any AI, BioloGPT can still make mistakes — always do your own research. Our goal is to help you dive deeper into science with maximum clarity and minimal bias.
Privacy & Data Handling
Data uploads are automatically deleted within 24 hours once your query is answered. We do not share any details with our LLM provider (strictest possible settings). Paying users have all their questions kept private. Non-logged-in user questions without uploaded data may appear as demo examples on our site, but never with sensitive information.
Join the BioloGPT Community
Become part of a thriving community staying on the cutting edge of biology. BioloGPT integrates data from PubMed, preprints, data repositories, patents, and much more, ensuring you access the latest breakthroughs. Subscribe to our weekly Biology Roundup for curated discoveries that matter to you.
Follow us on X and connect on LinkedIn and subscribe on YouTube for regular updates and insights.
About the Founder
Conner Lambden created BioloGPT after working as a computational scientist at Brigham & Women’s Hospital. He holds a background in Molecular & Cell Biology (Immunology) and Computer Science from UC Berkeley, specializing in computational biology, full-stack development, machine learning, and molecular immunology.
Conner’s published research in leading scientific journals demonstrates his dedication to rigorous, high-impact science.
