The only agent platform built on food intelligence
Taste AI AI acts. You win the shelf, the menu, and the consumer.
Sample a free Taste AI agent output:
- USA
- Canada
- Mexico
- Brasil
- Spain
- France
- Germany
- UK
- India
- Australia
For CPG brands, foodservice operators, retailers, ingredient suppliers
An agent for every food and beverage job โ tailored to where you compete
Surfaces the breakout signal before category data catches up.
Pulled consumer data panel. Mapped 30 lifecycle pairings. Cross-referenced Gen Z behavior panel.
Top breakout: "Banana matcha." Social mentions tripled YoY (+218.83%), already on 1.46% of menus and rising. Pair with cold foam (+38.9% YoY) for the Gen Z drink-ritual occasion. Hojicha next: 0.36% menu share but relevance score 80.4. Avoid green-tea framing โ sentiment fatigue, -43.8% YoY.
Same-day category brief – branded for the buyer, CMO, or innovation review.
Pulled live consumer + operator data. Cross-referenced 75K restaurants, 4,143 chains. Decomposed +40.5% dish growth into drivers.
Q1 2026 outlook: matcha enters its second wave. +40.5% YoY dish growth and +79.7% YoY social, but breakout is in pairings – banana matcha (+218%), strawberry matcha (+17%), hojicha (foodservice-first, relevance 80). Gen Z drives social volume. Recommend brand entry via co-branded LTO before Q3.
From clicking filters to asking a question – in plain English.
Parsed audience + topic. Built query against 553K social posts. Surfaced top-rising claims with chart + plain-English read.
Gen Z is reframing matcha as a ritual, not a drink. Fastest-rising claims: cozy (+44.6%), smooth (+38.8%), stress relief (+34.2%), earthy (+31.7%). Not rising: "healthy" (-40.8%) and "antioxidants" (-43.0%). Lead with ritual/comfort language, not health claims.
Every competitor move – before category data sees it.
Scanned matcha menu items across 2,586 chains. Pulled LTO history + social signal per competitor. Surfaced winners, losers, emerging plays.
Tim Hortons is the play. Starbucks (34,297 locations) leads volume but is saturated – strawberry-matcha + cold-foam dominate. Dunkin' (20,062) is testing matcha refresher (+53.7% YoY) but hasn't scaled. Tim Hortons (1,341) is whitespace – no matcha SKU despite strong breakfast-daypart fit.
Custom Agent
Custom Agent · Built for your category, your data, your decisions.Use Taste AI Studio to compose agents on top of our 1T+ food data layer – wired to your category, your buyers, your KPIs. Output decks, briefs, dashboards, or live tools.
Built with our Studio team. Talk to us about your use case.
Talk to us about custom agent →Walk into category review with proof, not pitches.
Pulled Kroger banner panel. Cross-referenced national consumer panel. Identified spicy-global whitespace.
Lead story: spicy-global whitespace. Kroger refrigerated-dip share is 14% under national index in spicy-global (chipotle, gochujang, harissa). Recommend 3-SKU pitch – single-serve, snack occasion. Proof: TreeHouse case (+25% buyer opportunity) + Gen Z snacking +22% YoY.
Operator-ready pitches reps can close with.
Read Tim Hortons menu + traffic patterns. Spotted matcha LTO momentum across QSR. Fit to operator's breakfast daypart.
Pitch angle: "Tim Hortons is the only top-10 cafe operator without a matcha SKU." Demand is there – matcha +79.7% social YoY, cold foam +38.9%. Lead with banana matcha cold-foam LTO – 4-week test window, Q1 launch. Cited: Starbucks scaled identical format in 2024; Dunkin' currently testing.
What's selling on Walmart.com, DoorDash, Instacart – refreshed continuously.
Pulled eRetail signal continuously. Surfaced top-mover SKUs. Tracked price changes + new listings.
Top mover this month: single-serve spicy dips (chipotle, jalapeรฑo-cheddar). +18% click-through vs. category baseline. Three new SKUs listed in 7 days – Sabra, Boar's Head, private label. Price walk: Sabra reduced shelf price 8% in Southeast. AE angle: incumbent is repositioning, opening for the challenger.
The cross-sell math your buyer trusts.
Analyzed Walmart shopper basket data. Surfaced co-purchase patterns. Quantified attach rate + lift per pair.
Top affinity: cold-brew coffee + breakfast bars (lift 2.4x, attach 31%). Second: cold-brew + creamers (lift 1.9x). Pitch: bundled endcap during back-to-routine season. Walmart-specific: affinity is 18% stronger in the Southwest. Avoid pairing with energy drinks – cannibalization, attach -12%.
Custom Agent
Custom Agent · Built for your category, your data, your decisions.Use Taste AI Studio to compose agents on top of our 1T+ food data layer – wired to your category, your buyers, your KPIs. Output decks, briefs, dashboards, or live tools.
Built with our Studio team. Talk to us about your use case.
Talk to us about custom agent →Campaign-ready stories backed by consumer signals.
Pulled Gen Z occasion mentions in snacking. Cross-referenced top-engagement social. Identified leading claim language.
Recommended hook: "Snacks that keep up. No sugar crash. No fake stuff." Pairs with real-food + fuel claim cluster (+38% engagement vs. category baseline) and on-the-go occasion (+22% YoY Gen Z). Avoid "guilt-free" – sentiment fatigue 0.81.
Multi-format creative on demand – copy, social, packaging.
Pulled brand voice + Gen Z audience. Drafted copy across 4 formats. Rendered packaging + creative variants.
Campaign pack ready: 5 hero ad variants, 8 IG posts, 4 TikTok scripts, 2 packaging mocks. Lead language: "ritual", "smooth", "cozy" (+38.8% / +44.6% YoY). Top creator brief: matcha-adjacent FoodTok handles with 1M+ engagement. Avoid "antioxidants" framing – -43% YoY.
Pre-show prep, on-site intel, post-show recap – all in one.
Tracked 1,200+ exhibitor announcements. Cross-referenced your category profile. Surfaced buzz topics + emerging plays.
SIAL 2026 buzz: matcha pairings (banana matcha at 4 booths), hojicha emerging (foodservice-first), spicy-global rising. Must-meet booths: 12 in your matcha-adjacent category. Top emerging story: Japanese supplier with earl-grey matcha (+23% YoY). Schedule: Day 1 morning, innovation pavilion.
Custom Agent
Custom Agent · Built for your category, your data, your decisions.Use Taste AI Studio to compose agents on top of our 1T+ food data layer – wired to your category, your buyers, your KPIs. Output decks, briefs, dashboards, or live tools.
Built with our Studio team. Talk to us about your use case.
Talk to us about custom agent →Validate the next launch in days, not quarters.
Pulled demand drivers + 30 trending pairings. Tested against Gen Z behavior panel. Identified whitespace + saturated claims.
Concept: "Banana matcha cold foam." Pairs highest-velocity ingredient (+218.83% YoY) with highest-velocity texture cue (cold foam +38.9% YoY). Gen Z drink-ritual occasion. Lead claim: "smooth" (+38.8%). Format: 16oz iced, $5.50-6.00 ladder. Avoid "healthy" framing.
Quantifies category whitespace before the buyer asks.
Mapped 539K matcha-adjacent menu items. Identified coverage gaps across 4,143 chains. Cross-referenced demand signal + sized opportunity.
Top 3 demand-sized whitespace operators: Tim Hortons (1,341 locations, no matcha SKU, breakfast-daypart fit), The Cheesecake Factory (dessert-pairing), Auntie Anne's (snack-occasion). Tim Hortons is highest-priority gap – Gen Z traffic + breakfast-LTO momentum +22% YoY.
Every ingredient and flavor – with a lifecycle, velocity, and receipts.
Tracked mentions across social, recipes, menus. Computed YoY trajectory + lifecycle stage. Correlated with audience drivers.
Top emerging ingredient: hojicha. YoY social growth +8.78%, but signal is in relevance – score of 80.4, highest concentration of matcha-adjacent conversation per mention. Under 0.4% of menus. Foodservice-first pattern (Gen Z early adopters). Banana matcha leads raw velocity (+218.83%), but hojicha is the pre-saturation play.
Brand-fit, operator-ready LTO concepts grounded in tone, format, pricing.
Pulled Tim Hortons menu + tone profile. Cross-referenced competitor LTO history. Matched occasion + flavor profile.
LTO #1: "Iced Banana Matcha Latte." Hits highest-velocity ingredient (+218.83% YoY) on Tim Hortons' breakfast daypart. Suggested ladder: $4.99 small / $5.69 medium. Backed by cold foam +38.9% YoY, "smooth" claim +38.8%, Gen Z drink-ritual occasion. Avoid matcha smoothie format – saturated at Smoothie King and Jamba.
Custom Agent
Custom Agent · Built for your category, your data, your decisions.Use Taste AI Studio to compose agents on top of our 1T+ food data layer – wired to your category, your buyers, your KPIs. Output decks, briefs, dashboards, or live tools.
Built with our Studio team. Talk to us about your use case.
Talk to us about custom agent →
From buying tools → to managing agents.
But only if the agents know food.
Book a demo
Five things only Taste AI has
Anyone can build an agent. Only one company has all five โ data, models, talent, distribution, and security working as one
The deepest food data layer in the industry for 39 markets
Consumer Panels
Market Trackers
Food-trained models
- 7+ years of F&B taxonomies
- 300k+ human-in-the-loop hours
- 96% F&B accuracy
F&B AI talent since 2018
GenAI engineers who know the difference between a flavor wave and a fad.
Serving 80% of leading brands
Mars, Nestlรฉ, PepsiCo, Kraft Heinz, Givaudan, Kroger run their high-stakes decisions on Taste AI.
Enterprise-grade governance
Every agent run is traceable, every output citable, every decision auditable.
Your customers have changed.
Your industry hasn't
From dashboards to agents
Research is evolving into AI & innovation. The teams who orchestrate agents become the strategic engine of the next decade
From decks to agents
Category winners stopped pitching slides and started shipping outputs
From quarters to days
F&B moves at consumer speed now. The agents shipping the work close the gap
Doing nothing is the most expensive option on the table. The brand that picks the system first wins the next decade.
Book a demoMCP-NATIVE
Your agents work where you do.
Ask a question in ChatGPT or Claude โ get a Taste AI answer with food-trained intelligence. No copy-paste, no context loss.
The food industry's AI revolution.
Built by Taste AI
Make your next launch the one retailers remember.
Reports built on 1T+ food signals
Quarterly playbooks and seasonal LTO reports - the demand evidence your team uses to defend the next decision.
2026 F&B Report
Comprehensive AI-powered analysis of 314 trend insights across 32 markets. The definitive guide for food & bev professionals in 2026.
GLP-1 US Trends Report
GLP-1 is reshaping US food demand at +85.7% YoY. Discover the ingredients, products, and operator plays winning the category in 2026.
Summer Trends 2026
Real-time read on summer demand - 967K social posts and 174K dishes across 1,440 chains. See where summer hunger is rising before your planning window closes.