Fact sheet · Business intelligence
Fairgen
The AI Consumer OS for consumer decisions
Enterprise platform that connects consumer research, models audiences as digital twins, and runs recurring workflows to inform marketing and product decisions.
Overview
Fairgen is an AI Consumer OS that helps brands and research teams make better consumer decisions. It retrieves cited answers from a company's own research studies, trackers and reports; builds digital twins of consumer audiences grounded in real data to test messages, products and prices; and runs recurring workflows that deliver decision briefs to teams via PowerPoint, Excel, Teams and Slack.
The platform connects to research data where it already lives—in Drive, SharePoint, survey platforms and data warehouses—without requiring migration. It indexes every study, tracker, report and interview in one library and keeps the knowledge current as new work arrives. Each respondent from primary research becomes one digital twin, allowing companies to segment audiences and answer new questions.
Fairgen is built on statistics and generative AI, with user data staying in the customer's own US or EU instance and never training other models. The company holds SOC 2 Type II certification and is an ESOMAR corporate member.
Feature facts
- Retrieval of cited answers from connected research studies and reports
- Digital twin audiences built from real respondent data
- Concept, message and price testing
- Recurring decision workflows
- Delivery to PowerPoint, Excel, Teams and Slack
- SOC 2 Type II compliance
- Connectors to Drive, SharePoint, survey platforms and data warehouses
- Library indexing and knowledge orchestration
- Ad, concept, price and claims testing
- Open-ended and quantitative answer analysis
Pricing
Pricing model: Contact for pricing
Follow Fairgen: their milestones, new launches and awards come to you by email, once a day by default.
Fairgen specifications
| Section | Business intelligence |
|---|---|
| Founded | 2021 |
| Stage | Established |
| Website | fairgen.ai |
| Makers | Samuel Cohen (Founder) |
| Votes2 | 0 |
Fairgen metrics
| Metric | Value |
|---|---|
| Domain Rating | 31 +1 (up) since last check |
| Trust Flow | 9 no change since last check |
| Citation Flow | 32 no change since last check |
| Referring domains | 126 no change since last check |
| External backlinks | 319 no change since last check |
Fact: Ahrefs Domain Rating checked 12 Nov 2026, fact changed 12 Nov 2026. Fact: top topic Science/Social Sciences (9). Fact: Majestic checked 26 Oct 2026, fact changed 26 Oct 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Fairgen domain fact sheet
Open the fact sheet
| Domain age | 4 years |
|---|---|
| Registered | |
| Expires | |
| Registrar | GoDaddy.com, LLC |
| DNSSEC | Not signed |
Fairgen launch receipt sheet
What we have measured for Fairgen since it went live on SaaS Directory Info on 26 October 2026.
- 30 Domain Rating (Ahrefs) no change since launch
at launch: 30 (26 Oct 2026); latest: 11 Nov 2026 - 9 Trust Flow (Majestic)
first measured 26 Oct 2026 - 126 Referring domains (Majestic)
first measured 26 Oct 2026
Day 16 since launch. Next receipt: day 30, 25 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.
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Frequently looked up
- Q1What is the AI Consumer OS?
- It is 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.
- Q2What research can Fairgen use to build digital twins?
- The platform uses segmentations, usage and attitude studies, trackers and interviews, where each row is a real respondent. Each respondent becomes one digital twin, and together they form your audience.
- Q3How is a modeled audience different from asking a chatbot?
- Fairgen's modeled audiences are built from your company's real research data and consumer respondents, grounded in actual customer knowledge rather than general training data.
- Q4Does Fairgen replace field research?
- No. The platform extends the reach of real data through digital twins built from actual respondents. Synthetic respondents built responsibly extend the reach of real data but do not replace it.
- Q5Who owns the data?
- Your research and customer data stay in your own instance and never train anyone else's models.
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