Data is the secret ingredient to great products

We're changing the world of flavor, and we'd love to show you how. Fill out the form below to get in touch with a member of our team.

We're excited to show you how Gastrograph AI can solve even your toughest new product development challenges.


The benefits of a predictive framework


Predictive Power

Once a product is profiled in Gastrograph, perception and preference predictions are automatically generated with minimal time and cost


Compound Learning

Gastrograph AI is trained on all of your data, all of the time, and is constantly learning. Models are continuously updated and made more accurate


Question Agnostic

Gastrograph AI can be continuously queried to answer new questions and “mined” for new insights


Actionable Formulation Insights

Gastrograph’s expert formulation tools help you translate consumer sensory descriptors into clear and actionable product enhancement insights


Need clarification?

How does Gastrograph work?

Gastrograph AI models people, products, and preferences. It learns how different cohorts of consumers around the world perceive flavor. It learns the flavors of individual products on the market in various countries, and it learns how to map those perceptions to those preferences. So the AI can predict for perception for different demographics, for other products anywhere in the world. 

What does predictive mean?

To have a predictive framework means you can take all the past data and make predictions without running a new experiment. The insights from a predictive framework are statistical in nature. They can have predictive layers, meaning we can predict unidentified flavors preferences and run hundreds of scenarios of predictions on simulated products. 

What problems does Gastrograph seek to solve for CPG companies?

Right now, all sensory and consumer insights are a cost center. To understand anything you're doing, you need to run more and more and more tests, and none of that has a compound ROI. You're not building value.

You're not making an asset. Using our technology and building up your branch, you're building a data asset that can be mined for future insights and reduces the amount of work you need to do in the future. So not only is it faster and more accurate, but you're able to do that at a reducing cost basis to get a positive ROI out of all the consumer, product, and market research you're doing.

How is using Gastrograph different from traditional methods?

Sensory data is slow to collect and is very expensive. When using the traditional method, the study intends to answer specific questions about a particular product, so the data collected is only used once and becomes useless. With Gastrograph, the data collected gets used for various projects and demographics; this allows you to reduce, reuse, and recycle data collection.

Where does the data come from?

We have two standing panels: one panel in New York, where people come daily to taste various products available on the market, with a child panel running once a week. The second standing panel we have is in Shanghai. 

We also have a team that travels worldwide to collect data on the markets. So far, we can model sensory perception and preference in over 30 countries, and we are continuously expanding.