Gastrograph AI is an AI platform focused on food and beverage product development. According to its official materials, the platform is offered as NIQ BASES AI Product Developer, aimed at technical insight, R&D, and sensory scientists, with the goal of helping teams create, screen, and improve new formulations faster and at lower cost, and increase consumer liking.
Use This platform is mainly used for product formulation development and optimization in the food and beverage sector. It attempts to use sensory data and consumer data to predict product performance before making physical prototypes, thereby reducing reliance on physical samples and extensive testing. It is officially stated to help users enter the market up to 6 months earlier than with traditional consumer research.
Main capabilities The platform claims to use more than 110 models driven by internal AI algorithms to process sensory experience data, and is based on a database of more than 21,000 market products and more than 500,000 consumer reviews from 40 countries. Specific capabilities include:
- Create: use market product data to build new formulations before starting prototype development;
- Screen: compare the performance of multiple new prototypes and provide directions for improvement;
- Optimize: improve the performance of existing products or new prototypes;
- Product line extension: determine which flavor should be developed as the next product line or limited-time offer;
- Cross-country evaluation: evaluate consumer liking for a product in other countries;
- Benchmarking: compare a product's performance with that of competitors. The platform is driven by human experience and expertise, with an AI sensory panel profiling products and formulations and providing optimization suggestions before physical prototypes are made. Users can set parameters such as country, predicted category, and demographics, and the AI will provide liking predictions by country, optimization strategies, and cultural difference analysis, with sensory scientists interpreting the results. It is also officially mentioned that NIQ-trained expertise can be used to validate the AI through its own panel.
How to use According to the available materials, users set AI parameters through NIQ BASES AI Product Developer, including target country, predicted category, and demographic information, and the platform then generates liking predictions and optimization suggestions. The materials do not provide specific interface operation steps, registration process, or technical access methods.
Applicable scenarios It is suitable for R&D, sensory science, and market research teams in food and beverage companies. Typical scenarios include new product concept validation, prototype screening, formulation cost reduction, formulation upgrades after regulatory adjustments, cross-regional taste adaptation, and product line extension decisions.
Limitations The available materials do not explain the product's specific pricing, charging model, free trial policy, supported languagesscope, or deployment method. Its effect descriptions (such as reducing research time by 65% and launching 6 months earlier) come from official promotional materials, and actual performance may vary by specific project. The materials do not mention whether the platform is aimed at individual users or only at enterprise clients, nor do they explain whether the data coverage applies to all food and beverage categories.
