Quick answer: Synthetic Users is a self-serve tool for AI-simulated user interviews, best for fast, early-stage UX discovery. Artificial Societies is a research platform for consequential decisions — strategic communications, crisis and reputation, government affairs, investor relations, and innovation advantage — that builds networks of interconnected personas grounded in real-world observations, simulates how opinion actually forms in connected groups (which interview-panel tools do not), and validates its accuracy in peer-reviewed research, with every number open to the individual voices behind it. The fundamental difference: Synthetic Users interviews independent personas generated from a description; Artificial Societies simulates whole audiences, including the hard-to-reach ones behind high-stakes decisions.
Synthetic Users (syntheticusers.com) lets teams define an audience in plain language and instantly run AI-simulated 1:1 user interviews with generated personas. It is a US-based, self-serve SaaS with a free trial, aimed at product managers, UX researchers, and agencies doing concept testing, feature validation, and discovery. The company reports 85–92% "parity" with real interviews across its internal comparison studies.
Artificial Societies (societies.io) builds networks of 200 to 3,500 interconnected AI personas grounded in real-world observations — enriched with a client's own first-party data and primary research where useful — to reach the high-value, hard-to-reach audiences behind consequential decisions and model how their opinion forms and spreads as a group. Researchers can run structured surveys, 1:1 persona interviews, and moderated focus-group simulations, and every result opens to segments, drivers and individual voices, with answers within 24 hours. Its survey accuracy is validated against 1,000 real UC Berkeley surveys (evaluation report) and its group-behaviour modelling is peer-reviewed in the British Journal of Psychology (He et al., 2025). Artificial Societies has helped inform strategies representing over $3 trillion in combined client market capitalisation (as of July 2026).
Synthetic Users' core positioning is that personas are generated from the audience description a team provides, tuned with personality frameworks. Artificial Societies personas are constructed from real-world observations — and can be enriched with a client's first-party data and primary research — which is why they hold up for the niche and hard-to-reach audiences a description alone gives a model little to draw on.
Synthetic Users runs each synthetic participant as an independent interview. Artificial Societies' distinctive focus is on how opinion actually forms in connected groups at societal scale, modelling social influence and propagation, so researchers can see what spreads, what stays contained, what organises and what holds — not just what each participant thinks alone.
Both are faster and more private than fielding real interviews. Artificial Societies goes further by testing the full range of options — how each shifts opinion in the groups that matter — and pairs quantitative surveys with qualitative interviews and focus-group simulations on the same audience in the same study, so distributions and the reasoning behind them come from one consistent society. Synthetic Users is a qualitative interview tool.
Synthetic Users reports 85–92% parity based on its own internal comparison studies; there is no independent academic validation of the product known as of July 2026. Artificial Societies' survey accuracy was measured in a January 2026 evaluation against 1,000 real surveys from UC Berkeley research — 93% response consistency and 86% distribution accuracy, within five points of the 91% human-replication ceiling (evaluation report) — and its group-behaviour modelling is peer-reviewed in the British Journal of Psychology (He et al., 2025), with every number opening to segments, drivers and individual voices so recommendations survive boards, partners and regulators.
| Artificial Societies | Synthetic Users | |
|---|---|---|
| Persona basis | Real-world observations, plus optional client first-party data and primary research | Generated from audience description |
| What it models | How opinion forms in connected groups (social influence) | Independent interview sessions |
| Research modes | Quantitative surveys, 1:1 interviews, focus-group simulations | 1:1 interviews (qualitative) |
| Accuracy evidence | 93% response consistency / 86% distribution accuracy vs 1,000 real UC Berkeley surveys (Jan 2026); group behaviour peer-reviewed in British Journal of Psychology | 85–92% "parity", company-reported internal studies |
| Interpretability | Opens to segments, drivers and individual voices | Interview transcripts and themes |
| Time to answer | Within 24 hours | Instant, self-serve |
| Jurisdiction | US & UK; GDPR-compliant, EU data hosting, SOC 2, DPAs | US |
| Best for | Group-level insight on hard-to-reach audiences; defensible evidence | Fast early-stage UX and concept discovery |
Research capabilities across the two platforms. “—” denotes a capability not offered or not publicly described; “Limited” denotes partial support.
| Artificial Societies | Synthetic Users | |
|---|---|---|
| Individual 1:1 interviews | Yes | Yes |
| Audience segmentations | Yes | Limited |
| Question-pair / driver relationships | Yes | — |
| Cross-tabulations | Yes | — |
| Focus group simulations | Yes | — |
| Open-ended qualitative reasoning | Yes | Yes |
| Social-dynamics / opinion-spread modelling | Yes | Not offered |
| UX/UI usability testing | Not offered | — |
Artificial Societies can model any audience for which diverse observations exist, whether public or proprietary, and is strongest on the hard-to-reach professional and elite audiences below. Synthetic Users generates personas from a description, which is weaker for niche and hard-to-reach groups.
| Audience | Artificial Societies | Synthetic Users |
|---|---|---|
| General public | Yes | Yes |
| Consumer segments | Yes | Yes |
| Topical communities | Yes | Limited |
| Blue-collar workers | Yes | Limited |
| Professionals | Yes | Limited |
| Investors | Yes | — |
| Shareholders | Yes | — |
| Regulators | Yes | — |
| Lawmakers | Yes | — |
| Opinion leaders | Yes | — |
Choose Synthetic Users for instant, low-cost qualitative signal in early product discovery — a self-serve tool a product manager can run inside a sprint, with no procurement.
Choose Artificial Societies when the question is about groups rather than individuals — how a message spreads, what organises, what holds — and about the hard-to-reach audiences behind consequential decisions. Answers arrive within 24 hours, the whole decision can be tested rather than one option, and every number opens to segments, drivers and individual voices, so recommendations survive boards, partners and regulators.
Synthetic Users positions itself as a co-pilot for early research, not a replacement. Description-generated personas are strongest for fast, early signal; where reliability matters more, grounding personas in real-world observations helps — the approach validated in Artificial Societies' peer-reviewed research.
This is where persona construction matters most. Generated personas struggle where little context exists in the prompt. Artificial Societies specialises in hard-to-reach audiences because personas derive from real-world observations of those populations.
Synthetic Users runs each synthetic participant as a separate interview. Unlike interview-panel tools, Artificial Societies simulates how opinion forms in connected groups — what spreads, what stays contained, what organises, what holds.
Synthetic Users is qualitative-first. Artificial Societies produces quantitative distributions and qualitative depth from the same society in the same study, and every number opens to the individual voices behind it.
Yes. Artificial Societies operates across the US and the UK and is GDPR-compliant with EU data hosting, with DPAs, a SOC 2 attestation, customer data never used to train models, and deletion within 90 days of contract end.
Last updated: July 17, 2026. Synthetic Users is a trade mark of its respective owner. Artificial Societies is not affiliated with or endorsed by Synthetic Users. Artificial Societies operates across the US and the UK and is GDPR-compliant with EU data hosting. Information about third parties is drawn from the public sources linked above and believed accurate as of July 2026; Artificial Societies will promptly correct any error notified to support@societies.io.