Always-on consumer research
Stay ahead of
every category call
Turn research from a project you commission into a capability you operate. Ask any question, on any audience — and get a slide-ready answer in days, built on billions of real F&B signals.
Book a demo
See a panel run on your question · live walkthrough · 30 minutes
Trusted by 80%+ of the world’s leading F&B brands.
Pick a time 
The shift
Your category moves every week.
Your research moves once a quarter.
Traditional research is a project: hire a vendor,
pick the one question you can afford, wait 6–8 weeks, get one answer. By the
time it lands, the question has moved. The teams pulling ahead have made
research an in-house capability — agile, scalable, on demand.
The capability shift
From a project you commission to
a capability you operate.
AI Panels are the always-on layer that turns consumer research into infrastructure — the same observed-behavior intelligence, now run on demand. Any question, any audience, every week.
One question, once a quarter
- Commission a vendor
- Ask the questions you can afford
- Wait 6–8 weeks
- Get one answer, no follow-ups
Any question, every week
- Run on demand
- Ask any question, on any audience
- Answer in days
- Ask follow-up questions and iterate
- Stay ahead of every category call
How it works
Built from the real America.
Step 01
Start with what people really do.
Posts, photos, menus, purchases, peer-reviewed research, and the full US demographic map.
Real menus
Photo reviews
Retail SKUs
Basket data
Search log
US Census
Step 02
Turn that into real people.
Each AI agent is a full person — where they live, what they buy and eat — modeled from real behavior.
JD
One full person · one AI agent
Step 03
Pick the panel that fits your question.
Each respondent answers in their own voice — in numbers, and in words.
·
Right-sized · census-fit panel
Step 04
Check their work.
Every answer is cross-checked, debiased, and benchmarked before it reaches you.
Cross-checked vs fieldwork
Debiased vs US Census
Compared to peer-review EPFL ’25
Stability check
Outliers flagged
Demo session
See how AI Panels work — and what they could do for your category.
Book a 30-minute demo. We’ll walk you through the platform, share a real panel readout, and explore what an AI Panel could deliver for your team’s hardest question.
The deliverable
A slide-ready panel readout. Built around your question.
Quantified findings, qualitative texture, real consumer quotes, and segment-level breakdowns — built around your question, delivered in days.
Quant
Adoption, intent, willingness
Qual
Motivations, language, themes
Context
Moments, demos, regions
Time
Past + projected future
Trust
Confidence + validation flags
Proof & validation
Validated against fieldwork. Based on peer-reviewed research from EPFL & Stanford.
Methodology developed from peer-reviewed research with EPFL and Stanford (2025): 92% match against traditional fieldwork, residual bias cut from up to 86% to under 5%. Every finding ships with confidence scores and validation flags.
Match against traditional fieldwork
Methodology based on peer-reviewed research from EPFL & Stanford
Residual bias after calibration — down from up to 86%
See how it works. Then put it to work.
Book a 30-minute demo to walk through the platform, see a real panel readout, and scope what AI Panels could deliver on your team’s hardest question.
Frequently asked questions
01 What are AI Panels?
Most AI tools were built for general tasks and adapted to food later. Tastewise was built specifically for food and beverage. The platform combines consumer panels, market trackers, and AI agents trained on food behavior.
02 Can AI agents help food brands win retail distribution?
Yes. Many brands use Tastewise to build stronger retailer conversations and category growth stories. The agents help teams identify emerging demand, validate flavor or product momentum, and turn that evidence into retailer-ready narratives buyers can actually act on.
03 Can AI agents speed up product innovation?
That is one of the biggest reasons brands adopt them. Traditional innovation cycles often move slower than consumer behavior. Tastewise agents help teams build evidence-backed innovation directions without waiting months for fragmented research projects.
04 Can AI agents help identify food and beverage trends before they peak?
Yes. Tastewise tracks live movement across consumer behavior, menus, retail, recipes, and foodservice signals to identify rising trends earlier. That includes: flavor adoption, ingredient growth, emerging pairings, occasion shifts, menu movement, audience-specific behavior, and retailer momentum
05 How are food and beverage companies using AI agents today?
Food and beverage teams use AI agents for trend forecasting, product innovation, retailer sell-in, competitive tracking, campaign messaging, whitespace discovery, category planning, menu analysis, and consumer insight generation.
