Until now, there was no clear way to understand how a food’s ingredients impact the human gut microbiome. Nutrition labels would never tell you this. Now, you just need to scan a barcode, and GutSafe AI will analyze each ingredient’s known bacterial effects and generates a 0–100 Gut Health Score, enabling objective comparisons between products. The model reaches an R² of 0.99952 and an MAE of 0.000513, giving you precise, ingredient‑level insight into how a food supports or harms your gut.

Today, I’m excited to launch GutSafe AI, a computational model that finally makes gut health measurable. Until now, there was no clear way to understand how a food’s ingredients impact the human gut microbiome. Nutrition labels don’t warn you, and ingredient lists don’t tell you which additives feed harmful bacteria. GutSafe AI analyzes each ingredient’s known bacterial effects and generates a 0–100 Gut Health Score, enabling objective comparisons between products. The model reaches an R² of 0.99952 and an MAE of 0.000513, giving you precise, ingredient‑level insight into how a food supports or harms your gut. I’ve been building this for a while, and I’m excited to finally share it. I would love your feedback and ideas as GutSafe grows.

How does the model actually handle ingredients with limited or conflicting research on their bacterial effects, since gut microbiome science still feels pretty early?

Gutsafe AI

Find the gut health score the nutrition facts are hiding.

Find the gut health score the nutrition facts are hiding.