NotCo Connector for AI agents.

You can use it to generate plant-based recipes, analyze the molecular profiles of ingredients, and predict the nutritional and cost outcomes of your formulations.

Yes, it can find plant combinations that mimic specific flavors and textures from animal products by searching a database of over 300,000 plants.

It predicts the theoretical mass-production cost of a recipe based on global commodity pricing, helping you see if a product is viable before you launch.

It can run predictive algorithms on your custom plant mixtures to estimate calories, fats, and proteins before you start lab testing.

It's designed for food scientists, product formulators, and R&D teams who need to move from food tech concepts to industrial-scale plant-based products.

You need a NotCo partner account and an API key to connect the Connector to your AI client.

Yes! Use the create_formulation capability to instruct Giuseppe to model a specific animal product (e.g., 'Target: Pulled Pork'). You can pass constraints like 'no soy' or 'must contain pea protein'. Giuseppe will return a mathematically generated formula combining plant extracts that mimic the target's molecular profile.

The search_flavor_matches capability analyzes NotCo's proprietary database. Instead of searching for 'beef flavor', Giuseppe searches for the specific volatile molecular compounds that create the beef flavor, and then finds combinations of seemingly unrelated plants (like pineapple and cabbage) that, when combined mathematically, replicate that exact molecular behavior.

Absolutely. Once Giuseppe generates a formulation, you can pass its ID to the estimate_cost capability. The API cross-references the required plant ingredients with global B2B commodity pricing databases to give you an estimated per-kilogram cost for mass production.