Pricing Plans
Solutions that fit
your
proposition.
proposition.
Easy access intelligence, flexible plan, and ad-hoc offerings to your unique GTM objectives
Pricing Plans
Solutions that fit
your
proposition.
proposition.
Easy access intelligence, flexible plan, and ad-hoc offerings to your unique GTM objectives
Pricing Plans
Solutions that fit
your
proposition.
proposition.
Easy access intelligence, flexible plan, and ad-hoc offerings to your unique GTM objectives
Plans that match your GTM pace. Pay only for the capacity and features you use.
Basic
Pay-per-run
$
50
/
Run
Start with a quick directional check or go deep with a full market simulation. You control the scope, the segments, and the budget.
This plan includes:
128 persona types across 118 regions
Full 4 stages acceptance funnel
Transparent, twin-level feedback with traceable reasoning
Simulation summary with segment-level diagnostics
Basic
Pay-per-run
$
50
/
Run
Start with a quick directional check or go deep with a full market simulation. You control the scope, the segments, and the budget.
This plan includes:
128 persona types across 118 regions
Full 4 stages acceptance funnel
Transparent, twin-level feedback with traceable reasoning
Simulation summary with segment-level diagnostics
Basic
Pay-per-run
$
50
/
Run
Start with a quick directional check or go deep with a full market simulation. You control the scope, the segments, and the budget.
This plan includes:
128 persona types across 118 regions
Full 4 stages acceptance funnel
Transparent, twin-level feedback with traceable reasoning
Simulation summary with segment-level diagnostics
Custom solution
Tailored to your context and reporting needs
Custom
/
Implementation
For teams running regular simulations across multiple categories and markets. Custom input forms, white-label reporting, historical data access, and priority support.
This plan includes:
Custom product input fields, your specs, your sensory language.
Brand reporting templates with your KPIs and visual identity.
Dedicated support channel.
Enterprise integration options.
Custom solution
Tailored to your context and reporting needs
Custom
/
Implementation
For teams running regular simulations across multiple categories and markets. Custom input forms, white-label reporting, historical data access, and priority support.
This plan includes:
Custom product input fields, your specs, your sensory language.
Brand reporting templates with your KPIs and visual identity.
Dedicated support channel.
Enterprise integration options.
Custom solution
Tailored to your context and reporting needs
Custom
/
Implementation
For teams running regular simulations across multiple categories and markets. Custom input forms, white-label reporting, historical data access, and priority support.
This plan includes:
Custom product input fields, your specs, your sensory language.
Brand reporting templates with your KPIs and visual identity.
Dedicated support channel.
Enterprise integration options.
Frequently Asked Questions
What is TasteNET Simulator and how does it work?
TasteNET Simulator is an AI-powered consumer simulation platform built specifically for the food and beverage industry. You upload your product details: ingredients, flavour profile, positioning, and GTM information etc., select a target market and cohort, and run a simulation against 50 to 1,000 digital twin consumers. Each twin evaluates your product across a 4-stage acceptance funnel: Exposure, Purchase, Experience, and Advocacy. You receive a full acceptance report with segment-level diagnostics in under 30 minutes.
What data are the digital twins built on?
Every digital twin is grounded in first-party sensory data collected through psychophysics-based behavioural testing, not surveys, not LLM inference. Our database includes 90,000+ real-world sensory profiles spanning 128 persona types across 118 regions. Each twin carries a measurable taste genotype, flavour preference, food choice values, and demographic profile. Unlike generic AI simulation platforms that rely on language model assumptions, TasteNET twins reflect how people actually perceive and choose food, based on who they are, not what they say.
Can TasteNET predict product acceptance in different countries and cities?
Yes. TasteNET maintains a Sensory Map with region-specific flavour rules, intensity thresholds, and taste baselines for 118 regions across 38 countries. Each region's profile includes primary flavour rules (e.g. "Plateau Umami Cumin Heat" for Qinghai, China), flavour keywords, and dynamic sensory trends updated from multi-source market signals. When you run a simulation, twins respond within the sensory and cultural context of their region. So the same product may score 85% acceptance in Singapore and 62% in Mexico City, with clear reasons why.
How does TasteNET help with product reformulation?
Run your current formulation through a simulation, then adjust sensory parameters sweetness level, salt intensity, texture, flavour balance, and re-run. TasteNET shows you exactly how each change shifts acceptance across segments: which cohorts tolerate 20% sugar reduction without noticing, and which perceive it as a downgrade. The twin-level feedback pinpoints which sensory attributes drive liking and which create friction, so R&D teams can reformulate with confidence rather than guesswork.
Who uses TasteNET, and how does it fit into existing product development workflows?
TasteNET is used by Consumer Insights, R&D, and Go-to-Market teams at CPG and F&B companies. Insights teams use it for pre-launch validation and concept screening. R&D teams use it to test reformulation trade-offs. GTM teams use it to localise products for new markets. A typical workflow: run a quick $50 simulation during ideation to filter weak concepts early, then run deeper $800 simulations with 1,000 twins before committing to production. Results integrate directly into existing stage-gate processes, no new infrastructure required.
Does TasteNET account for real-time market trends and cultural context?
Yes. Every simulation runs against a live Worldstat, a continuously updated layer of cultural signals, trending flavours, health narratives, and social dynamics specific to your target market. For example, if "Heritage Detox Brew" is trending in China in February 2026, digital twins in that region will factor this cultural momentum into their purchase and advocacy decisions. Worldstate data is aggregated from sources including Kerry Taste Charts, Mintel, Foodaily Innobase, and regional market intelligence platforms, so simulations reflect the market as it is today, not last quarter's report.
How does TasteNET handle data privacy and security?
All product data uploaded for simulation is session-isolated and never retained after the run completes. TasteNET's consumer profiles are non-genetic and derived entirely from psychophysics-based behavioural testing — no personal health records, no biometric data, no DNA. The platform is privacy-first by design: sensory profiles are anonymised and aggregated at cohort level, and ingredient-agnostic, meaning proprietary formulations are processed but not stored. For enterprise clients requiring custom data handling, we offer dedicated processing environments.
What is TasteNET Simulator and how does it work?
TasteNET Simulator is an AI-powered consumer simulation platform built specifically for the food and beverage industry. You upload your product details: ingredients, flavour profile, positioning, and GTM information etc., select a target market and cohort, and run a simulation against 50 to 1,000 digital twin consumers. Each twin evaluates your product across a 4-stage acceptance funnel: Exposure, Purchase, Experience, and Advocacy. You receive a full acceptance report with segment-level diagnostics in under 30 minutes.
What data are the digital twins built on?
Every digital twin is grounded in first-party sensory data collected through psychophysics-based behavioural testing, not surveys, not LLM inference. Our database includes 90,000+ real-world sensory profiles spanning 128 persona types across 118 regions. Each twin carries a measurable taste genotype, flavour preference, food choice values, and demographic profile. Unlike generic AI simulation platforms that rely on language model assumptions, TasteNET twins reflect how people actually perceive and choose food, based on who they are, not what they say.
Can TasteNET predict product acceptance in different countries and cities?
Yes. TasteNET maintains a Sensory Map with region-specific flavour rules, intensity thresholds, and taste baselines for 118 regions across 38 countries. Each region's profile includes primary flavour rules (e.g. "Plateau Umami Cumin Heat" for Qinghai, China), flavour keywords, and dynamic sensory trends updated from multi-source market signals. When you run a simulation, twins respond within the sensory and cultural context of their region. So the same product may score 85% acceptance in Singapore and 62% in Mexico City, with clear reasons why.
How does TasteNET help with product reformulation?
Run your current formulation through a simulation, then adjust sensory parameters sweetness level, salt intensity, texture, flavour balance, and re-run. TasteNET shows you exactly how each change shifts acceptance across segments: which cohorts tolerate 20% sugar reduction without noticing, and which perceive it as a downgrade. The twin-level feedback pinpoints which sensory attributes drive liking and which create friction, so R&D teams can reformulate with confidence rather than guesswork.
Who uses TasteNET, and how does it fit into existing product development workflows?
TasteNET is used by Consumer Insights, R&D, and Go-to-Market teams at CPG and F&B companies. Insights teams use it for pre-launch validation and concept screening. R&D teams use it to test reformulation trade-offs. GTM teams use it to localise products for new markets. A typical workflow: run a quick $50 simulation during ideation to filter weak concepts early, then run deeper $800 simulations with 1,000 twins before committing to production. Results integrate directly into existing stage-gate processes, no new infrastructure required.
Does TasteNET account for real-time market trends and cultural context?
Yes. Every simulation runs against a live Worldstat, a continuously updated layer of cultural signals, trending flavours, health narratives, and social dynamics specific to your target market. For example, if "Heritage Detox Brew" is trending in China in February 2026, digital twins in that region will factor this cultural momentum into their purchase and advocacy decisions. Worldstate data is aggregated from sources including Kerry Taste Charts, Mintel, Foodaily Innobase, and regional market intelligence platforms, so simulations reflect the market as it is today, not last quarter's report.
How does TasteNET handle data privacy and security?
All product data uploaded for simulation is session-isolated and never retained after the run completes. TasteNET's consumer profiles are non-genetic and derived entirely from psychophysics-based behavioural testing — no personal health records, no biometric data, no DNA. The platform is privacy-first by design: sensory profiles are anonymised and aggregated at cohort level, and ingredient-agnostic, meaning proprietary formulations are processed but not stored. For enterprise clients requiring custom data handling, we offer dedicated processing environments.