This plan includes:
Twin Chat: Chat with 100-1000 digital twins
Twin Chat synthesis: group findings rolled insights
Simulator: Mapping product GTM diffusion in funnel view
Product management: iterate concepts, recipes, and SKUs
Frequently Asked Questions
What is TasteNET™ by Digitaste?
TasteNET™ is an AI consumer platform for CPG/F&B teams that converts first-party sensory data into acceptance forecasts, comparative benchmarks, and localisation guidance for faster GTM decisions. It works through two complementary modes: a Simulator that predicts product GTM success rate at scale, and Twin Chat, which lets teams interview individual digital twins (AI agents grounded in real behavioral sensory profiles) to understand the why behind every score.
How do you collect and process data?
We use https://askyumi.com to gather consented first-party data, mapped to an ISO-aligned sensory taxonomy and structured for modelling; no genetic or synthetic data are used. Each profile becomes a digital twin that powers both Simulator forecasts and Twin Chat conversations.
How does the platform support product localization across regions and cities?
TasteNET™ delivers country and regional-level sensory, behavioural and social baselines (e.g., Singapore, Tokyo, London), target intensity ranges, and ingredient familiarity checks to align flavours with APAC/EMEA/NA preferences.
Does it help with reformulation for sugar/sodium reduction or cost constraints?
Yes. The Simulator models reformulation impact on acceptance and recommends sensory compensation levers (ie. acidity, aroma, mouthfeel) to maintain preference while meeting nutrition or cost goals. With Twin Chat, teams can then ask digital twins which trade-offs they would notice or tolerate, surfacing the perceptual reasoning behind each acceptance shift.
How do teams use it day-to-day?
Teams work across dashboards: they run scenarios in the Simulator, interview digital twins through Twin Chat, and securely upload product briefs for analysis. APIs and widgets can connect insights to eCommerce ranking or internal R&D workflows.
How does TasteNET™ incorporate local food-production compliance data into its guidance?
TasteNET™ maps recommendations against country-specific regulatory guardrails by merging your PLM/QA specs with authoritative references (e.g., US FDA CFR Title 21, EU/EFSA & EC 1333/2008, 1169/2011, UK FSA, Singapore SFA, China GB/NHC, FSANZ). For each market it checks permitted ingredients/additives and max-use levels, allergen and labelling rules, nutrition and claim thresholds (e.g., "low sugar"), alcohol/novel-food constraints, and processing limits. Outputs show pass / warn / block status with rule citations, suggested substitutes or intensity ranges, and an exportable audit trail, with final sign-off by your regulatory team.
How do you handle privacy and security?
Digitaste is privacy-first: consent-based first-party data, encryption at rest and in transit, role-based access, and session-isolated processing, including Twin Chat conversations, with no cross-client model training or sharing without explicit permission.