PRODUCT COMPARISON
Compare synthetic research tools
Compare product uses, methods, validation evidence, data sources, access and pricing. Start with Aaru and Simile, or choose two or three other products.
Product records: 6 September 2026. Method and evidence sources linked below.
| Compare products | TolunaSynthetic Personas | Delve AISynthetic Users |
|---|---|---|
| Product category | Synthetic respondents | Synthetic respondents |
| Product | Synthetic Personas | Synthetic Users |
| Overview | Synthetic survey-taking personas for screening claims, ideas, flavors and brand messages. | AI-generated participants for surveys, interviews and product-concept feedback. |
| Data grounding | Toluna describes anonymized first-party panel data as the basis for its synthetic personas. | The provider connects its synthetic-user offer with its customer-persona products. |
| Access | Contact sales | Subscription |
| Pricing | Discuss scope with provider | Advertised from US$99/month for 100 synthetic users; confirm inclusions |
| Research method | The supplier documents Synthetic Personas as survey respondents used to evaluate creative, claims, ideas, flavors, product attributes and brand messaging in its automated test products. Toluna's Claims Test Instant announcement describes using multiple MaxDiff exercises within a survey workflow. Its creative-testing product documents quantitative results for advertising stimuli. | The workflow starts by selecting personas, setting a target audience and choosing a panel size. The supplier also documents filters for segmenting a panel by attributes such as location and distribution. Delve AI documents qualitative and quantitative studies using questions and uploaded materials, with follow-up questioning available after a response. The product walkthrough describes responses organized into analytics, transcripts, themes and reports, alongside persona-level reports. |
| Validation evidence | No product-specific performance result in the sources listed here. | Public workflow guidance, not a benchmark result: The supplier materials used for this profile describe inputs, panel generation and research outputs, and recommend validation and cross-checking. They do not state a numerical accuracy result or study design for Delve AI Synthetic Users. The public material describes the workflow and its limits. It does not report how closely responses match a target population or predict outcomes. |
| Documented scope | Toluna describes Synthetic Personas within several automated research products. Claims Test Instant and Creative Pre-Test Instant use different exercises and outputs; their product descriptions define the scope of those workflows. | Delve AI states that real users can provide unexpected feedback and that qualitative research with actual users remains the more reliable way to understand authentic audience behavior. The supplier's guidance explicitly cautions against basing critical product or marketing decisions on synthetic data alone. |
| Method and evidence sources | ||
| Primary source | Provider documentation | Provider documentation |
Product comparisons
- Aaru vs Simile
Both describe population simulations. Aaru frames scenarios around a decision and stated conditions; Simile documents a question-level confidence model alongside its simulated action distributions.
- Fairgen Boost vs Toluna HarmonAIze Boost
Both work with a survey that has already been collected. Fairgen describes augmenting survey segments while preserving questionnaire structure; Toluna defines Boost as amplifying patterns after fieldwork.
- Qualtrics Synthetic Panels vs Synthetic Users
Qualtrics generates synthetic responses within its survey distribution workflow. Synthetic Users organizes audience-defined personas, projects and studies, with interviews, surveys and developer API access.
- Fairgen Twins vs Ipsos PersonaBot
Fairgen Twins supports structured studies and follow-up conversations with modeled respondents. Ipsos PersonaBot offers conversational access to personas from an existing segmentation study.