Shoppers in a covered food market at dusk; a woman compares two bottles of green juice
Fairgen

The AI Consumer OS

Your consumers,
in every decision.

Fairgen connects your research, customer data and market intelligence, then tests what comes next with audiences modeled on your real consumers.

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Built on work with consumer leaders

L’Oréal
T-Mobile
Accor
Ifop
Google

The workspace

Ask what your consumers think. See exactly why.

Fairgen reads every study, tracker and customer record you connect. It answers in seconds and opens the source behind each claim.

Connected knowledge

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Ask / Consumer knowledge4 sources selected
What would make a ready smoothie a weekday habit in Mexico?

What the evidence tells us

Home blenders would pay for a simpler routine before they would chase a lower price.

Weekday mornings are the opening, when breakfast has to fit before the school run.

Occasional buyers judge it on price per visit against coffee, bakery and yogurt.

Create the decision briefTest with an audience
Ask about your consumers…AskStudyChat

Turn your research data into always-on consumer audiences.

Your audiences stay yours and ready to answer, so every message, product and price is tested before you commit.

PDF
DOCXInterview transcripts
Beauty segmentation · Mexico
IDAgeCitySpend / moSkinBuys mostly at
040927GuadalajaraMX$650OilyPharmacy
041041MonterreyMX$1,800DryDepartment store
041122PueblaMX$400CombinationOnline
041234Mexico CityMX$1,200CombinationBeauty store
041352MéridaMX$900DryDepartment store
041430QuerétaroMX$750SensitiveCatalog
041545LeónMX$1,500DryBeauty store
041626TijuanaMX$500OilyPharmacy
041738TolucaMX$1,100NormalBeauty store
SAVBeauty segmentation · Mexico1,200 respondents · 96 answers each
Connect all your data sources

01Start from your research

Segmentations, usage and attitude studies, trackers and interviews. Each row is a real respondent.

Beauty buyers · Mexico1,200 twins
All 1,200Selective splurgersPrestige loyalistsDeal hunters

María Fernanda López

34 · Mexico City

Selective splurgers
Who she is
Marketing managerLives with partnerNSE C+
Skin
CombinationSensitive to fragrance
Routine
Serum every nightSPF every morningRetinol 2× a week
Spend
MX$1,200 a monthSplurges twice a year
Buys at
Beauty storeOnline for refills
Believes
Pays for proven activesReads reviews first
Selective splurgersRoutine buildersStore + online

Sofía Hernández

27-year-old student in Guadalajara. Buys drugstore makeup, follows video tutorials.

Deal hunters

02Turn each respondent into a twin

One twin per respondent, with their full profile. Together they form your audience: 1,200 beauty buyers.

New studySkincare buyers · Mexico
QuestionnaireFocus group
✦Test our two launch films for the new serum with skincare buyers, split by segment. Which one drives trial?
The assistant drafted 18 questions
Which brand was this film for?Single choice
After this film, how likely are you to buy it?Scale 1–5
In your own words, what is the film telling you?Open answer
At what price (MX$) would 30 ml feel too expensive?Price
What would make “Glow in 7 days” believable?Open answer
1,040 twins · 18 questionsLaunch study

03Launch studies and focus groups

Ad, concept, price and claims tests, built by you or the assistant.

Serum launch film1,040 twins · 18 questions
Ad testConcept testPrice testLanding page testPack testClaims testMessage testName test
Q1Would buy after the film (top-2-box, per film)
Film A58%
Film B47%

Film A leads on intent with 25–34s. Film B wins with sensitive skin.

Q2How likely are you to switch from your current serum?
Very likelyNot at all
Q3In your own words, what is Film A telling you?
“It works in a week, and they show real skin.”
“Light texture, sinks in, not greasy.”
“It’s for skin like mine, oily in the T-zone.”
Q4At what price (MX$) would 30 ml feel too expensive?
Under 400400–599600–799800+
Numbers + open answers

04Get insights instantly

Quantitative and open answers, side by side.

Consumer brands and research partners that work with Fairgen

L’Oréal
T-Mobile
Accor
Ifop
Big Village
BVA
Cint
Mindline
Demoskop
Jackman
Haystack
NX
FGS Global
GIM

The AI Consumer OS

Start from the evidence you already own

No migration and no new repository. Fairgen reads your research where it already lives.

  1. Drive, SharePoint, survey platforms and data warehouses stay where they are. Nothing to migrate.

    See connectors →

  2. Every study, tracker, report and interview in one library, indexed with its source and kept current.

    Explore Retrieval →

  3. Each respondent becomes one digital twin. Your audiences, split into segments, ready to answer.

    Meet the twins →

  4. Studies, focus groups and recurring workflows on the same knowledge and the same audiences.

    See Workflows →

  5. Briefs, decks and alerts reach PowerPoint, Excel, Teams and Slack after your team reviews them.

    See the whole platform →
01 / 05

The decision brief

A recommendation you can put to work

The preferred direction, why it matters and what to test next, with every source and audience response one click away.

Built every Monday from your research and your twins

Reviewed by your team before it is shared

Delivered as PowerPoint, Excel or a Teams message

Weekday smoothie launch: convenience or price?

Decision brief · Reviewed by insights

An everyday smoothie proposition

Recommendation

Lead with convenience for home blenders. Open with a trial price for occasional buyers.

Why this direction

Home blenders chose convenience 64 to 36; occasional buyers leaned to price 58 to 42.

What to test next

Test two trial price points with occasional buyers, then the winning pair in market.

Smoothies · 3 sources · 1,200 digital twins

Here is your requested deck. I customized your template and included the backup data.

Exports (2)

PowerPoint

Smoothie_Brief.pptx

Excel

Twins_by_Segment.xlsx

Customer stories

Built on work with consumer leaders

See customers

L’Oréalwith Ifop
15low-incidence brands made readable in a national segmentation study

Nadia ObukhovaGlobal Consumer Insights Manager, L’Oréal

T-Mobilewith Big Village
21 → 98local markets with brand-lift insight, from the research T-Mobile already had

Antoinette SandySenior Data Scientist, T-Mobile

Accorwith Sky Consulting
3×selected sample sizes, so smaller hotel brands could inform the next move

Katrin De GrenierDirector Global Customer and Market Insights, Accor

  • “It’s really a game changer for us to explore the smaller brands and drive our portfolio.”

    Frank Brezout

    Global CMI Director, L’Oréal

  • “Fairgen enables us to provide specificity when it otherwise would not be possible.”

    Andy Davidson

    Chief Data Officer, Big Village

  • “This partnership represents a major advance in integrating AI into the solutions we offer our clients.”

    Christophe Jourdain

    General Manager, Ifop

  • “We found that boosting meaningfully, consistently, and robustly improved the results.”

    Joel Anderson

    EVP, Advanced Analytics, Dig Insights

  • “It’s basically opening up new opportunities, new doors, and going deeper in the analytical delivery to our clients.”

    Emilie Boutes

    Chief Innovation Officer, The BVA Family

Built by

Statistics and generative AI, in the same building.

About us

Samuel Cohen, founder and CEO of Fairgen

Samuel Cohen

Founder and CEO

PhD in generative AI (Oxford, UCL, Imperial). Trained foundation models at Meta AI.

Enterprise-grade

Your data stays yours. Procurement stays short.

Your research and customer data stay in your own instance and never train anyone else’s models.

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SOC 2 Type II

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Audited, not asserted. Controls are verified over time, not at a single point. The report is available under NDA.

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GDPR, CCPA and DPA

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ESOMAR corporate member

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Every answer keeps its sources

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Questions

What leaders ask us first

What is the AI Consumer OS?

One system that connects your consumer knowledge, models your audiences and runs the recurring work around both. Retrieval gives cited answers from your research. Simulation tests decisions with digital twins grounded in real consumer data. Workflows combine the two and deliver the output to your team.

What research can we use to build digital twins?

How is a modeled audience different from asking a chatbot?

Does it replace field research?

Which sources can we connect?

Who owns our data?

How do we start?

Fairgen

Start with the decision that matters next

Bring one category and one decision. Orchestrate your knowledge. Build your twin audiences. Get insights instantly.

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Enterprise deployments · SOC 2 Type II