This page is designed to help you find out whether Saucery.ai is good and if it is the right choice for you.
Saucery is a synthetic consumer validation platform built for food and beverage brands. It runs discrete choice experiments against 25M+ census-calibrated AI personas across 7 markets, delivering statistically grounded results in 30-120 minutes.
Instead of recruiting panels, scheduling focus groups, or waiting weeks for survey results, F&B teams use Saucery to test front-of-pack claims, flavour extensions, pricing, multipack formats, and competitive positioning — all before committing to a print run or product launch.
Designed for founder-led and growth-stage F&B brands ($5M-$250M), Saucery fits into NPD workflows at the concept validation and development stages where speed and cost matter most.
Each experiment tests 5-10 questions with 3-5 options each, returning ranked consumer preferences with percentage breakdowns. No recruitment, no incentives, no minimum commitments.
Listed in
Experiment Type
Discrete Choice Experiments (MaxDiff)
AI Personas
25M+ census-calibrated synthetic consumer personas
Markets Supported
7 (US, UK, AU, NZ, DE, FR, JP)
Sample Size
50 to 1,000 respondents per experiment
Turnaround Time
Most experiments complete in 30-120 minutes
Questions Per Experiment
5-10 questions, 3-5 options each
Use Cases
Claim testing, flavour extension, pricing, packaging, positioning
Industry Focus
Food & Beverage brands
No Recruitment Needed
No panels, no scheduling, no incentives
Data Export
Full results with statistical analysis
Growth-stage food and beverage brands with $5M-$250M in revenue. Specifically: founders, NPD leads, R&D directors, and brand managers at companies actively launching new products, extending into new flavours or formats, or making front-of-pack claims decisions. These are people under commercial pressure who need consumer data fast but don't have enterprise research budgets.
Traditional consumer research (Qualtrics, SurveyMonkey, focus groups) takes weeks and costs thousands per study. Synthetic persona platforms like Synthetic Users or Delve AI are generalist, they don't understand F&B category dynamics. Saucery combines speed (hours, not weeks), statistical rigour (discrete choice, not thumbs up/down), and deep F&B specialisation (claims, flavours, formats, pricing) in one platform. You get quantitative data grounded in real consumer trade-offs, not just sentiment or opinions.
Saucery was founded in Australia in 2025 after seeing how many F&B brands launch products based on gut instinct or outdated research. Small and mid-size brands, the ones driving real category innovation couldn't afford the traditional research that big CPG companies use. We built a platform that gives them the same quality of consumer validation in hours instead of months, at a fraction of the cost. We've now run hundreds of experiments, some example categories include protein bars, frozen meals, functional beverages, snacks, and more.
Saucery has run validation experiments across the BFY snacking, premium frozen, functional beverages, and plant-based protein categories for US, UK, and Australian brands. We don't publicly name clients without their permission.
Saucery is purpose-built for food and beverage brands. Unlike general-purpose survey tools, it runs discrete choice experiments — the gold standard methodology for measuring real purchase trade-offs — against 25M+ census-calibrated AI personas. Results come back in 30-120 minutes instead of weeks, with no panel recruitment needed. It's designed specifically for the decisions F&B teams actually make: which claim goes on the front of pack, which flavour to launch next, how to price a multipack.
Large language models for synthetic consumer persona generation, census demographic data for calibration across 7 markets, and discrete choice experiment methodology (MaxDiff) for statistically valid preference measurement. The platform is built as a cloud-based SaaS application.
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