AshZero is a physics-based sensory intelligence engine. It models individual receptor-level response from first principles — not from pattern matching or from aggregated data.
Because the model is built from physics, it accounts for what statistical approaches erase: the hormonal modulation of sensory perception, the specificity of female sensory experience, the variations and granularity that averages are designed to ignore.
And because it models from the receptor up, it provides the data layer that creators — roasters, distillers, perfumers, formulators — need to design for an individual rather than a demographic. The engine predicts, the artist creates - the gap between intention and experience becomes visible for the first time.
The engine is domain-agnostic. Personalised sensory experience across taste and smell — composed natively across 24 languages. The applications change. The physics doesn't.
Validated across three independent sensory domains — single malt Scotch whisky, specialty coffee, and fragrance. 654 longitudinal pilot records. Documented and peer-cited.
The first sensory prediction model built to account for individual female physiology.
AshZero is built on 22 years of receptor-level research by Dr. Sumit Kesarkar, spanning clinical practice, receptor biology, and computational sensory modelling. The engine architecture — modelling individual sensory response from physics rather than data — is his foundational work.
Holly Robinson has spent 14+ years working with UN agencies, NGOs such as CARE International and NRC, and the World Bank building globally adopted frameworks that account for individual variation across populations in 15+ countries. She recognised in Dr. Kesarkar's work the same structural problem at the molecular level: systems built for averages fail individuals.
AshZero works with select partners across fragrance, food, and luxury experience.
theashzero@gmail.com