Acceptable price for the refill
AlignedAI personas60 respondents
- $30–3562%
- $25–3024%
- $35+14%
Real humans27 respondents
- $30–3559%
- $25–3030%
- $35+11%
atypica.AI · Agentic Research Studio for Enterprise
The research you didn't run is the one that costs you.
The enterprise consumer research platform, grounded in your own data, validated against real people, and reused across every business unit.
When a study takes days instead of six weeks, you stop rationing questions. Test the concept you would have shipped on instinct, the price you guessed at, the market you assumed.
100+
Complex studies a month, on one shared allowance.
Days
Not six to eight weeks, per study.
<10%
Of the cost for a traditional field study.
Trusted by research, marketing, and product teams at Bosch, Procter & Gamble, L'Oreal, Volvo, Bain, WPP, and more.
AI Persona + Human Validation
Fast, defensible, proactive.
Agentic Research Studio pairs AI Persona with Human Validation, so speed and defensibility stop being a tradeoff.
Traditional research
Rigorous, but slow
Six to eight weeks per study. By the time the findings land, the market has already moved on.
✕ Fast: investment made on instinct
General-purpose AI
Fast, but unaccountable
Output can't be audited or reproduced, and none of it is validated against real people, so it can't be defended to a stakeholder.
✕ Defensible: can't audit
Agentic Research Studio
Fast, defensible, proactive
Grounded personas answer in hours, with the audit trail a high-stakes call needs. Cheap enough that you stop rationing questions, and it compounds: every study makes the next one sharper.
✓ Fast · Defensible · Proactive
The defensible research system
Rigorous by design: Grounded in real behavior, validated by humans, governed by your team, and corrected by reality.
atypica.AI combines rigorous population methodology with real human validation on every finding you're about to bet on. Here's how.
01
Agentic Research Studio
Runs the study end to end. Drafts the brief, recruits the right personas, writes the interview guide, moderates the sessions, and triangulates findings with human validation. Playbooks by category and market, so every study starts from proven practice, not a blank page.
OverviewStudyFirst-purchase 90-day repurchase drop-off
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Stats
Find out why first-time buyers of our skincare line don't repurchase within 90 days, and recommend positioning and onboarding.
✓ Research intent clarified. Generating a comprehensive study design for “first-purchase 90-day repurchase drop-off”…
exec makeStudyPlanView process
Plan confirmed. Next, the study design — brief, methodology and execution steps are on the right; edit them directly.
exec designStudyView process
Design confirmed. I'll start with desk research. By default I'll cover: industry repurchase benchmarks, subscription skincare cases, and the CRM export you uploaded.
exec deepResearchView process
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Thinking···
3.1 Desk research
Desk researchResearch design confirmed — execution will begin shortly
Sources3
Industry reports and public research: skincare DTC repurchase and subscription benchmarks
Custom sources: brand subscription page and competitor refill pages
Uploaded document: CRM export · first-time buyers, 90-day behavior
Skincare DTC first-purchase 90-day repurchase benchmarks, common drop-off causes, and the effect of reorder prompts and subscriptions on repurchase (2024–2026)
Running desk research…···
01
Agentic Research Studio
Runs the study end to end. Drafts the brief, recruits the right personas, writes the interview guide, moderates the sessions, and triangulates findings with human validation. Playbooks by category and market, so every study starts from proven practice, not a blank page.
OverviewStudyFirst-purchase 90-day repurchase drop-off
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- 6
Stats
Find out why first-time buyers of our skincare line don't repurchase within 90 days, and recommend positioning and onboarding.
✓ Research intent clarified. Generating a comprehensive study design for “first-purchase 90-day repurchase drop-off”…
exec makeStudyPlanView process
Plan confirmed. Next, the study design — brief, methodology and execution steps are on the right; edit them directly.
exec designStudyView process
Design confirmed. I'll start with desk research. By default I'll cover: industry repurchase benchmarks, subscription skincare cases, and the CRM export you uploaded.
exec deepResearchView process
>_ args
Progress1/7Files1
Ask a follow-up question or reply
Thinking···
3.1 Desk research
Desk researchResearch design confirmed — execution will begin shortly
Sources3
Industry reports and public research: skincare DTC repurchase and subscription benchmarks
Custom sources: brand subscription page and competitor refill pages
Uploaded document: CRM export · first-time buyers, 90-day behavior
Skincare DTC first-purchase 90-day repurchase benchmarks, common drop-off causes, and the effect of reorder prompts and subscriptions on repurchase (2024–2026)
Running desk research…···
02
AI personas built from real people.
Every persona is built in four layers, each from a different kind of real-world evidence.
How they express themselves. Modeled from real public posts on the platforms your audience uses. Voice, vocabulary, cadence.
How they explain themselves. A 5,000-word AI-conducted life-history interview, grounded in a coherent past, not improvisation.
How they decide. Behavioral tests that measure a person's real trade-offs and store them as numbers, not adjectives.
How they behave. Revealed-preference signals, so the persona carries the distance between what people say and what they do.
Every persona is inspectable: source attribution, last-refresh timestamp, and detailed tags, all readable before you run a study. Every finding traces back to a named persona you can verify.
Persona Library
Build and maintain your persona library for reusable research assets
PanelsAI Personas
Search personas…
All timeAll projects5 personasAdd personas
Build personas from your research, or add ready-made ones from the community.
Upload research dataBrowse community personas
Daniela OrtizEnterprise
29 · Skincare enthusiast · Mexico City
“I loved the texture, but nobody reminded me when to reorder — so I didn't.”
42 public posts5,000-word life interviewBehavioral tests
Refreshed 2 hours ago
Marcus ChenEnterprise
34 · New dad · Singapore
“Price matters less than proof it's safe for my kid. Do that and I'll keep buying.”
38 public postsBehavioral testsRevealed preference
Refreshed 5 hours ago
Aiko TanakaEnterprise
26 · Office worker · Tokyo
“I only switch brands when a friend insists. Ads alone don't move me.”
51 public posts5,000-word life interviewRevealed preference
Refreshed 1 day ago
Sara LindqvistEnterprise
41 · Gym regular · Stockholm
“If the refill is cheaper and arrives on time, I stop looking at other brands.”
33 public posts5,000-word life interviewBehavioral tests
Refreshed 2 days ago
Léa MoreauEnterprise
31 · Product manager · Lyon
“By the time the first jar ran out I couldn't even find the reorder page.”
47 public postsBehavioral testsRevealed preference
Refreshed 3 days ago
03
Validation for mission-critical research.
AI persona interviews give you an answer fast; the validation suite brings in real human insight, using your own respondents today, to confirm the questions that matter.
The persona model is checked against real behavior continuously. On the decisions that matter, the Human Validation Suite puts real people back in the loop through interviews, surveys, and backtesting, to confirm the read before you commit.
OverviewStudyFirst-purchase 90-day repurchase drop-off
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Stats
Before we lock the pricing, validate the refill price finding with real people.
The invite link is in the card above; distribution is yours. Real people answer over hours and days, so I won't wait in a loop — one progress check first.
exec interviewProjectProgressView process
Humans 27/40 completed · AI personas 60/60 completed
27 human respondents in — enough to check the key claims. Comparing the two cohorts question by question.
exec compareAiHumanAnswersView process
2 of 3 questions agree; the divergence is the subscription discount — real people want a deeper cut than the personas expected. Folding the human cohort into the report; the divergence goes into the validation appendix as is.
exec generateReportView process
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Progress7/7Artifacts3Panel12
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Thinking···
6.2 Human Validation - AI vs Human
AI vs human answersAI personas 60 · Humans 27
Agreement overview
- Aligned1
- Partly aligned1
- Diverged1
Main reason for not repurchasing
Partly alignedAI personas60 respondents
- No reorder reminder58%
- Too expensive25%
- No visible results17%
Real humans27 respondents
- No reorder reminder52%
- No visible results30%
- Too expensive18%
Discount that would make you subscribe
DivergedAI personas60 respondents
- 10% off55%
- 15% off33%
- No discount needed12%
Real humans27 respondents
- 15% off48%
- 10% off26%
- No discount needed26%
04
Humans stay in control.
Objectives, audience, discussion guide, moderation, synthesis: you shape every step, with your context and brand voice carried through, and every claim traceable to its source.
OverviewStudyFirst-purchase 90-day repurchase drop-off
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Stats
AI Panel confirmed (12 personas). Here is the interview plan — brief, questions and participants are on the right. Nobody is interviewed until you confirm.
exec confirmInterviewProjectView process
Make question 3 single-choice, with price-range options.
exec viewInterviewPlan
exec editInterviewPlan
Question 3 is now single-choice with four price bands; every other question and the roster stay as you last set them. Launch whenever you're ready.
Interviews started: all 12 personas answer the same questionnaire independently, and closing the browser won't interrupt them. I'll follow the progress and run the question-level analysis when they're done.
exec startInterviewProjectView process
exec interviewProjectProgressView process
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Progress4/7Panel12
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Thinking···
4.4 Persona Interview - Interview Progress
Interview progress
Completed0 / 12
Interview batch running
Interviews12
Daniela OrtizDone
AI persona · 14 messages · The day it ran out I was waiting for a reminder that never came.
Marcus ChenIn progress
AI persona · 9 messages · If the refill listed the safety certification…
Aiko TanakaIn progress
AI persona · 6 messages · A friend recommended the first jar…
05
Insight compounds with brand knowledge.
Package your best studies as reusable playbooks, and bring your own outcome data back in. atypica.AI closes the loop, proving predictions against what customers actually did, then feeds that proof back into the model.
OverviewSkincare · Retention
Skincare · Retention
Repurchase, subscription and pricing research for the skincare line; shared context, knowledge files and artifacts.
Search studies, personas, and playbooks…
PlaybooksStudiesMy personasProject Memory
Audience profile
System
Build segment portraits, perception maps, and growth opportunities for a brand or category.
Brand positioning
System
Audit brand equity, permission boundaries, and positioning territories with strategic judgement.
Repurchase diagnosis
Enterprise
First purchase to day 90: drop-off moments, reorder triggers, refill pricing and subscription acceptance.
Used 14 times · distilled from “First-purchase 90-day repurchase drop-off”
Pre-launch concept test
Enterprise
Appeal, purchase intent and price acceptance across 2–3 differentiated concepts.
Used 9 times
Project Memory
The durable Project Memory inherited by newly created Studies.
Version 3Versioned
[BRAND_NAME] Aurora Skincare · refills and subscription are the core growth levers
[ICP] Skincare early adopters aged 25–40, first purchase in the last 6 months; repurchasers vs. churned
[BRAND_VOICE] Warm, direct, never overstated
[RESEARCH_PRIORITY] Repurchase and subscription conversion; pricing sweet spot
[VALIDATED] Refill sweet spot is $30–35 — AI persona finding confirmed by 27 real respondents; Q3 actual acceptance 81% vs. 78% predicted
Latest change: fed back from “First-purchase 90-day repurchase drop-off”
Edit Project MemoryRegenerate from Selected Knowledge
06
Continuous Timely Insight
Your research gets sharper every time you use it. Panels keep their memory between sessions, so a team comes back to the same group weeks later and builds on the last conversation instead of starting over. Each brand or business unit keeps its own project, voice, and context.
OverviewStudyRepurchase intent after the subscription page launch
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Stats
Reference Study:Q2 · Repurchase diagnosis
The subscription page has been live for three weeks — what does the same group of first-time buyers think now?
Three weeks ago Daniela and Marcus in this Panel both pointed at the missing reorder reminder. I'll carry last round's context and the same 12 personas, and start from their reaction to the subscription page. One thing to confirm first:
exec requestInteractionView process
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Panel12Files3
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Thinking···
1.1 Clarification
Research clarification
All questions asked by AI and your answers before research began.
AI question
Only the reaction to the subscription page, or re-test last round's three pricing claims along with it?
Built from real people. Validated by real people. Shaped by you. Proven against your own outcomes.
What our customers say
Unreachable customer personas, now fueling weekly product iteration.
At Bosch Power Tools
1,500+ personas
Refreshed continuously for global R&D teams
40+ countries
Across Americas, Asia and Europe
20+
Product lines informed
Months → days
Panel creation process
“With atypica.AI, we covered 8 trades and 50 richly built personas across 3 continents. Professionals we couldn't have reached in months. Now our product managers run research against them every week. Using them to shape and pressure-test new product concepts before a single prototype gets built.”
Bosch Group · Global CDO, Power Tools
Who it's for
For teams that won't stake mission-critical decisions without customer validation.
Proprietary, defensible research grounded in real data and validated with real customers.
Direct-to-consumer brands
Brand Marketing and Strategy Teams
What changes: The concepts you would have shipped on instinct now get tested first.
- →Surface voice-of-customer signal and segment your audience by need-state, not demographics
- →Track brand health, equity, and positioning continuously, not just at the annual tracking wave
- →Pre-test ad concepts, copy, and media plans against real audiences before they go into market
Product & R&D
Product Innovation and R&D Teams
What changes: You hear the customer while the concept still costs nothing to change.
- →Stress-test user experience and surface new product ideas earlier in the innovation funnel
- →Turn customer understanding and market dynamics into product ideas, tested early to focus effort
- →Pressure-test pricing architecture and willingness-to-pay before it's locked into the business case
Consulting Case Teams
Strategy Consulting Firms
What changes: Week one of the case starts with findings, not a screener.
- →Stand up preliminary findings and market-entry strategy answers for client work in hours
- →Conduct market research and understand niche segments across hard-to-reach professional audiences
- →Identify key players and audience profiles in a market, and surface trends for thought leadership
Agencies
Marketing and Creative Agencies
What changes: Research becomes a billable line, not a cost you absorb.
- →Build audience profiles for retail and CPG clients, backed by grounded data instead of guesswork
- →Map channel strategy and shopper journeys to show clients exactly where the budget should go
- →Diagnose campaign performance and brand health, then turn setbacks into the client's next move
Where to start
Five ways into a study. Your own data comes first.
Upload proprietary data
Turn transcripts, surveys, and customer records into queryable personas. Your most defensible input.
Natural-language brief
Describe a business question; the agent returns a structured research plan.
Playbook
Skip the cold start with proven R&D and marketing Playbooks.
Study follow-up
Ask new questions of existing research without starting over.
Panel-first launch
Select AI panels or personas and begin interviews immediately.
Security & governance
A secure consumer research platform built to clear enterprise review.
ISO 27001 and SOC 2 Type I certified, with SOC 2 Type II in progress, and already cleared through the security reviews of global brand and consulting customers.
ISO 27001SOC 2 Type ISOC 2 Type II (in progress)GDPR-aligned
- ✓Per-account data isolation. Your private persona library is built from your data and isolated to your account, so other customers can't recreate it.
- ✓You own what you build. Personas and panels are grounded in behavioral evidence only you hold; atypica.AI's foundation model stays separate.
- ✓Private deployment is available on request. For regulated environments, we can provide a dedicated instance in your own cloud or on-premise.
- ✓Clean answers for review. Encryption, data residency, sub-processors, and retention, documented for procurement. SOC 2 Type I report, ISO 27001 certificate, DPA, sub-processor list and residency options, sent within one business day.
Your data is never used to train any model.
A hard rule that never turns off.
- No training use
- Nothing you upload or generate fine-tunes, trains, or updates any model.
- No contamination
- Model calls are stateless; submissions aren't retained or reachable by others.
- No sale or transfer
- We never sell, rent, or share your data for any commercial purpose.
- Provider terms
- Contractually enforced with every model provider we use, including Anthropic, OpenAI and Google, plus regional providers. Not a setting you have to turn on.
Integrations & ecosystem
Bring your stack. Push insight back where decisions get made.
Available today
File upload
Turn source material into queryable personas from day one.
CSVExcelPDFDOCXMP3 / MP4Markdown
What's coming, and you get it first.
Enterprise customers can request early access to these capabilities as they ship.
- In development
- Connect your survey and CRM data directly. SurveyMonkey, Salesforce, HubSpot, Qualtrics, Snowflake, Databricks, BigQuery.
- In development
- Push findings into your own warehouse and BI tools. REST API, scheduled sync, Tableau, Looker.
- In development
- We recruit the real people for you, so you no longer bring your own respondents for human validation.
Frequently asked
Questions asked by our customers.
Personas draw on two layers. atypica.AI's foundation model is built on public behavioral data, cross-platform social and web expression across Instagram, TikTok, Reddit, X, RedNote, and Douyin, plus in-depth, AI-conducted interviews. Where public data runs thin, personas draw on your own data instead, for an even stronger build.
No more unvalidated launch.
Give every enterprise team a defensible answer, supported by customer insight.