NextGen Sensory
Intelligence
Measurable taste, Predictive acceptance, Launch with confidence
Science is evolving - the world model is learning to taste. We are building the human-centric taste and smell layer of AI, linking real human sensory experience to machine to understand and helping to produce more nutritious and tasty food in the future.
01
Real-World Digital Twins
Each digital twin is a fully constructed consumer identity, built from real first-party sensory profiling, food choice behavioural data, and a 40-minute qualitative value interview. Every twin carries a complete profile: taste genotype across 16 types, foodie personality across 8 archetypes, demographic background, dietary habits, and lived food values. When a twin responds to your product, you can inspect exactly why, clicking through to their individual decision drivers, hesitations, and sensory reactions. No black box. No averaged personas. A real consumer, reconstructed.
Use Cases
A functional beverage brand tests whether "zero sugar, real fruit enzymes" lands as a health claim or a compromise signal across 1,000 twins before committing to packaging copy.
A premium matcha oat milk brand discovers that price resistance at $6.50 per bottle is concentrated in Pragmatist segments, not Adventurers, and adjusts channel strategy accordingly.
A collagen sparkling water brand identifies that bitterness intensity at the finish is the top disliked sensory attribute post-consumption, triggering a formulation adjustment before full production.
A probiotic yogurt drink brand learns that only Connoisseur and Enthusiast archetypes recommend the product unprompted, and that broader advocacy requires a stronger occasion anchor in the messaging.
02
Market Momentum
Consumer decisions do not happen in a vacuum. Each simulation runs against a live Worldstate layer: a continuously updated context of cultural shifts, trending flavours, health narratives, emerging occasions, and social signals actively shaping food choices in your target region. This means your simulation reflects how consumers would respond to your product today, in the market as it actually exists, not against a static baseline from last quarter's panel study. The Worldstate layer is what separates a simulation from a prediction.
Use Cases
30 minutes, not 4 to 8 weeks From product brief to full consumer diagnostic in a single session. No recruitment, no scheduling, no waiting for fieldwork to close.
2026: Yuzu is peaking. Black sesame is crossing over. Matcha has entered its decline curve. A snack brand redirects their next limited edition pipeline three months before competitors notice the same signal.
Same product, different claim. A protein bar brand discovers that "gut health" converts 40% better than "muscle recovery" in their core demographic. No reformulation needed, just a reframe identified before any media spend is committed.
A low-ABV aperitif brand was positioned around solo drinking. The simulation surfaces a rising "mindful hosting" signal among millennial consumers in urban China. The product does not change. The story does.
03
Feedbacks in 30 minutes
From product brief to full consumer report in under 30 minutes. Every response is traceable to a specific digital twin. You can browse individual reactions across Exposure, Purchase, Experience, and Advocacy, see exactly who engaged, who hesitated, and what drove each decision. The report surfaces winning points, friction points, and ranked priority actions, not a list of findings for your team to interpret. Evidence-backed, decision-ready, and delivered before your next meeting.
Capacities
Know consumer acceptance before production begins. Test formulation, claims, and positioning against 1,000 real-profile consumers before a single unit is made. Identify what wins, what fails, and exactly why
30 minutes instead of 4 to 8 weeks of traditional consumer research. TasteNET runs on yours own instance.
High-fidelity digital twins available to query at any time: Your consumer panel never closes. Retest after a reformulation, run a follow-up the day before production locks, or pressure-test a new claim the moment the market shifts. The twins are always there.
04
Layered Simulation Summary
Aggregate results without losing the individual signal. The simulation summary layers responses across archetypes, taste types, demographics, and funnel stages in one unified view, so you can see simultaneously how an Optimizer responds versus an Enthusiast, how price sensitivity differs across age groups, and where your product wins or loses at each consumer moment. Filter by persona, segment, or funnel stage to isolate the insights that matter most for your specific brief. Strategic synthesis highlights the priority moves, not just the data.
Capacities
Consumer acceptance funnel: See exactly where your product loses people. From first impression through to advocacy, the funnel view shows which stage is underperforming and which consumer segments are dropping off first, giving your GTM strategy a precise diagnosis rather than a general score.
128 persona breakdown: Across 16 taste types and 8 foodie personalities, see exactly who loves the product, who rejects it, and why. Surfaces the reasons traditional research misses: the Pragmatist who wants it but resists the price, the Connoisseur who appreciates the formulation but rejects the claim.
Priority actions: go, no-go, go with conditions. Every simulation closes with a decision-ready verdict. Go with conditions means specific ranked actions, reformulate the finish, reframe the claim, adjust the price anchor, that move the product from borderline to launchable.
05
Pay by Usage
No subscriptions, no retainers, no minimum commitments. Run a $50 quick check with 50 digital twins to pressure-test a concept before the next internal review, or a $800 deep simulation with 1,000 twins before a major launch decision. You control the scope, the budget, and the pace. Scale from early ideation to pre-production validation entirely on your terms, and only pay for what you actually run.
Our Client-centric Principle
Start at $50. A quick concept check costs $50 with 50 digital twins. A full pre-launch simulation with 1,000 twins costs $800. Pay for the depth your decision actually requires, nothing more.
No subscriptions, no retainers, no minimums. Every run is independent. There are no contracts to sign before you start and no commitments to maintain between projects. Run when you need it, stop when you do not.
You control the scope, the budget, and the pace Test one concept or ten. Run weekly during active development or quarterly during planning cycles. TasteNET scales to your product calendar, not the other way around.
06
Customisable In/Outputs
Every brand speaks a different language. TasteNET allows you to define your own product input fields, from proprietary formulation specs and internal sensory descriptors to custom target segments and regional variables. On the output side, shape the reporting format to match your KPIs, brand templates, and internal decision workflows. Whether you need a one-page executive summary or a full diagnostic breakdown by persona, the simulation output adapts to how your team actually works, not the other way around.
Use cases
Custimizable inputs: Define product inputs using your own formulation language, sensory descriptors, and category-specific variables. Whether you are briefing a functional beverage, a fermented snack, or a premium spirits line, the simulation speaks your product's language from the start.
Cusmizable outputs: Configure reporting to match your stage-gate templates, brand scorecards, and decision workflows. A one-page executive summary or a full persona-level diagnostic breakdown. The output fits how your team actually reviews and acts on insights.
One-time custom model setup, then pay only for what you run: We implement your customised simulation model once. After that, there are no subscription fees and no platform costs between runs. You pay only when you simulate.