Gastrograph AI offers a predictive human sensory perception platform powered by the company’s proprietary sensory database and machine‑learning algorithms. The company launched SensoryLink, a web‑based interactive Platform as a Service (PaaS), to let users visualize and act on predictive insights. Its system delivers full‑cycle capabilities from curated data collection via a mobile app to high‑resolution predictions of flavor, aroma, and texture preferences across demographic segments. The platform is aimed at helping food and beverage companies create new products, optimize brands, and enter new markets with targeted flavor profiles. Gastrograph AI positions its insights as actionable, real‑time consumer preference information to speed decision‑making for major CPG firms. The company is described in filings as Analytical Flavor Systems, Inc., and is New York–based. Gastrograph AI provides predictive analytics for food and beverage companies, using machine learning to forecast how consumers will perceive flavors. The company collects data from professional tasters across 600–1,000 variables per tasting covering aroma, flavor and texture to build high-resolution taste profiles. It uses those profiles to recommend product reformulations for different demographics and to guide new product development in target markets. More than 75% of Gastrograph’s customers are outside the U.S., with 50% in Asia, and the company is based in New York City. Gastrograph has a partnership with Cornes Technology that began after Cornes approached the startup in 2015 and the two spent two years developing the relationship. CEO Jason Cohen emphasizes that the firm relies on human tasters and their data as the foundation for its machine-learning models rather than replacing humans with machines. The startup recently closed a $4 million Series A to scale its predictive analytics offerings.

Total raised

$11M

Funding rounds

2

Latest round

Equity

Latest activity

Jan 2023