Maymay Technologies provides a digitization platform that quantifies taste, odor, and texture for food and beverage companies using advanced sensory analysis techniques. This technology enables precise formulation and quality control, addressing the challenge of inconsistent sensory profiles in product development.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Food and beverage companies face challenges in maintaining consistent sensory profiles across product batches due to subjective and variable human sensory evaluations. Traditional methods lack the precision needed for optimal formulation and quality control, leading to inconsistencies in taste, odor, and texture.
Solution
Maymay Technologies offers a digitization platform that quantifies taste, odor, and texture using advanced sensory analysis techniques. Their technology, called val®, employs analytical chemistry and machine learning to translate sensory experiences into objective, reproducible data. By digitizing these organoleptic properties, Maymay enables food and beverage manufacturers to precisely measure and control the sensory attributes of their products. This allows for consistent product formulation, improved quality control, and accelerated product development cycles. The platform provides a standardized, data-driven approach to sensory evaluation, reducing reliance on subjective human panels.
Target Audience
The primary target audience includes food and beverage manufacturers, flavor houses, and ingredient suppliers seeking to improve product consistency, accelerate innovation, and optimize quality control processes.
Features
- Taste GAGE: A module for quantifying taste profiles, including sweetness, saltiness, sourness, bitterness, and umami.
- Odor digitization: Analytical techniques to capture and quantify the volatile compounds responsible for odor.
- Texture analysis: Measurement of textural properties such as hardness, viscosity, and elasticity.
- Machine learning models: Algorithms that correlate chemical and physical measurements with human sensory perceptions.
- Data visualization: Tools for displaying sensory data in an intuitive and actionable format.
- Cloud-based platform: Secure and scalable infrastructure for data storage, analysis, and reporting.
- Integration with formulation software: APIs for incorporating sensory data into existing product development workflows.