our methodology

Build on psychophysics.

Driven by

Mood & emotions.

We decode taste by applying first-principle based methods in our system design.

Our key differentiator is using first-party high-dimensional sensory & sentiment data, modelled through principles grounded in real user's sensory perception. Unlike traditional language-based insights, we eliminate contextual noise and improve decision relevance.

Sourcing

We designed and developed our own consumer-facing data pipeline called Digital Taste Profiling, built to collect structured first-party sensory data at scale. By combining gamified incentives, community engagement, and IP-driven avatars (the Digitaste 16 Taste Types), we enable users to discover and own their digital taste fingerprint, while contributing high-quality, self-reported data. While every report is delivered back to the user, all data is collected with explicit consent and handled in a privacy-first environment to ensure both compliance and trust.

Our taxonomy

Sensory profiling is structured around four key dichotomies grounded in oral processing mechanics and receptor pathways, forming a matrix of 16 distinct taste types for consumer segmentation

The profiling measures both hedonic liking and motivational wanting, enabling a more precise mapping of true taste preference beyond surface-level enjoyment

A redesigned flavour taxonomy rooted in perception, consisting of 13 core flavour groups and 52 nuanced sub-clusters, built from the bottom-up based on how consumers actually describe and experience taste

A “compare to people around me” framing is used to calibrate regional benchmarks, allowing users to understand their sensory identity in a localised context and enhancing cross-cohort data resolution.

Our taxonomy

Sensory profiling is structured around four key dichotomies grounded in oral processing mechanics and receptor pathways, forming a matrix of 16 distinct taste types for consumer segmentation

The profiling measures both hedonic liking and motivational wanting, enabling a more precise mapping of true taste preference beyond surface-level enjoyment

Our taxonomy

Sensory profiling is structured around four key dichotomies grounded in oral processing mechanics and receptor pathways, forming a matrix of 16 distinct taste types for consumer segmentation

The profiling measures both hedonic liking and motivational wanting, enabling a more precise mapping of true taste preference beyond surface-level enjoyment

Modeling

Grounded in psychophysics and aligned with food industry ISO standards, we developed proprietary Sensory Power Indices to quantify how individuals and populations perceive taste in both JAR peak value approach and their emotion states mapping. Before predicting acceptance, we measure the intensity and preference curves for key sensory attributes; Now, this process is fully numerical, comparable and ready for reporting.

Our design principles

Each region or cohort is profiled with more than 1,000 user's sensory profiles to ensure sufficient statistical depth and fine-grained resolution

Clear algorithmic matrix applied to separate bio-mechanical thresholds (e.g. receptor-level sensitivity) from cognitive perception data (e.g. preference, memory, cultural association)

Unique biophysical parameters transformed into mathematical Sensory Power Indices, allowing cross-cohort sensory perception to compare within the same analytical space

Model outputs supported and validated through controlled environment focus groups

Our design principles

Each region or cohort is profiled with more than 1,000 user's sensory profiles to ensure sufficient statistical depth and fine-grained resolution

Clear algorithmic matrix applied to separate bio-mechanical thresholds (e.g. receptor-level sensitivity) from cognitive perception data (e.g. preference, memory, cultural association)

Unique biophysical parameters transformed into mathematical Sensory Power Indices, allowing cross-cohort sensory perception to compare within the same analytical space

Model outputs supported and validated through controlled environment focus groups

Our design principles

Each region or cohort is profiled with more than 1,000 user's sensory profiles to ensure sufficient statistical depth and fine-grained resolution

Clear algorithmic matrix applied to separate bio-mechanical thresholds (e.g. receptor-level sensitivity) from cognitive perception data (e.g. preference, memory, cultural association)

Unique biophysical parameters transformed into mathematical Sensory Power Indices, allowing cross-cohort sensory perception to compare within the same analytical space

Model outputs supported and validated through controlled environment focus groups

Insights

Insights distill high-quality sensory data and external context into decision-ready guidance. At a principle level we map cohort and regional sensory identity, quantify acceptance, isolate drivers and barriers, measure momentum, and translate evidence into clear actions for localisation, reformulation, claims, and portfolio moves. Reports are privacy-first, comparable across markets, and built to support GTM and brand teams with confidence.

Example insights

Assess market-entry risk for a current formulation in Bangkok versus Tokyo with acceptance forecasts and localisation ranges

Select the winning flavour route for a sparkling citrus RTD with JAR and intensity targets by cohort

Test claim and naming options for a reduced-sugar yogurt among UK families with predicted lift

Benchmark a chili sauce against category leaders in Mexico City to set spiciness thresholds and messaging guidance

Example insights

Assess market-entry risk for a current formulation in Bangkok versus Tokyo with acceptance forecasts and localisation ranges

Select the winning flavour route for a sparkling citrus RTD with JAR and intensity targets by cohort

Test claim and naming options for a reduced-sugar yogurt among UK families with predicted lift

Benchmark a chili sauce against category leaders in Mexico City to set spiciness thresholds and messaging guidance

Example insights

Assess market-entry risk for a current formulation in Bangkok versus Tokyo with acceptance forecasts and localisation ranges

Select the winning flavour route for a sparkling citrus RTD with JAR and intensity targets by cohort

Test claim and naming options for a reduced-sugar yogurt among UK families with predicted lift

Benchmark a chili sauce against category leaders in Mexico City to set spiciness thresholds and messaging guidance

Intelligence

We didn’t stop at the insights layer. In the era of GenAI, success requires speed, flexibility, and personalisation. Our trained agents are built on both first-party data and trusted secondary sources, with awareness of real-time context and your specific business objectives. Only by querying at the intelligence level can you unlock strategic 360° visibility, delivering not just answers, but evidence backed confidence.

Our AI capacities

Interprets user intent with domain-specific awareness, combining product category, regional context, and sensory variables to surface relevant responses

Synthesizes structured (first-party taste data, benchmarks) and unstructured (secondary reports, public datasets) sources to generate solid evidence supported recommendations

Operates on high-dimensional, pre-modelled sensory baselines to return results at the resolution of region, cohort, or individual, enabling detailed comparative queries

Accepts proprietary uploads (e.g. product briefs, formulation notes) and processes them securely, with no cross-client data sharing or model retraining exposure, ensuring full confidentiality

Our AI capacities

Interprets user intent with domain-specific awareness, combining product category, regional context, and sensory variables to surface relevant responses

Synthesizes structured (first-party taste data, benchmarks) and unstructured (secondary reports, public datasets) sources to generate solid evidence supported recommendations

Operates on high-dimensional, pre-modelled sensory baselines to return results at the resolution of region, cohort, or individual, enabling detailed comparative queries

Accepts proprietary uploads (e.g. product briefs, formulation notes) and processes them securely, with no cross-client data sharing or model retraining exposure, ensuring full confidentiality

Our AI capacities

Interprets user intent with domain-specific awareness, combining product category, regional context, and sensory variables to surface relevant responses

Synthesizes structured (first-party taste data, benchmarks) and unstructured (secondary reports, public datasets) sources to generate solid evidence supported recommendations

Operates on high-dimensional, pre-modelled sensory baselines to return results at the resolution of region, cohort, or individual, enabling detailed comparative queries

Accepts proprietary uploads (e.g. product briefs, formulation notes) and processes them securely, with no cross-client data sharing or model retraining exposure, ensuring full confidentiality

Our role is to help you with faster, better and more in-depth sensory insights.

Identity-driven first-party sensory engine

Consented first-party data, psychophysics and ISO-aligned models, and proprietary Sensory Power Indices yield comparable cohort/region baselines and high-confidence acceptance forecasts.

Identity-driven first-party sensory engine

Consented first-party data, psychophysics and ISO-aligned models, and proprietary Sensory Power Indices yield comparable cohort/region baselines and high-confidence acceptance forecasts.

Identity-driven first-party sensory engine

Consented first-party data, psychophysics and ISO-aligned models, and proprietary Sensory Power Indices yield comparable cohort/region baselines and high-confidence acceptance forecasts.

Evidence-to-activation GTM pipeline

Insights convert directly into action including localisation ranges, reformulation impact and claims guidance; delivered via dashboards, secure upload-to-insight, and agent/map interfaces; privacy-first and workflow-ready.

Evidence-to-activation GTM pipeline

Explore features

Male scientist in a white lab coat standing confidently in a modern hydroponic lab with pink grow lights and rows of leafy greens.

Build on psychophysics.

Driven by

Mood & emotions.

Mood & emotions.

Mood & emotions.

Mood & emotions.

Mood & emotions.

Mood & emotions.

We decode taste by applying first-principle based methods in our system design.

Our key differentiator is using first-party high-dimensional sensory & sentiment data, modelled through principles grounded in real user's sensory perception. Unlike traditional language-based insights, we eliminate contextual noise and improve decision relevance.

Our key differentiator is using first-party high-dimensional sensory & sentiment data, modelled through principles grounded in real user's sensory perception. Unlike traditional language-based insights, we eliminate contextual noise and improve decision relevance.

Sourcing

Modeling

Insights

Intelligence

Our role is to help you with faster, better and more in-depth sensory insights.

From insights to

Intelligence

Intelligence

Measurable taste, Predictive acceptance, Launch with confidence

From insights to

Intelligence

Intelligence

Measurable taste, Predictive acceptance, Launch with confidence

From insights to

Intelligence

Intelligence

Measurable taste, Predictive acceptance, Launch with confidence