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A curated directory of companies working on synthetic market research and related workflows. Each entry includes a short description plus typical use cases, strengths, and limitations.

Neutrality note
Inclusion does not imply endorsement. The goal is to make the space legible: who does what, what they claim, and how to evaluate responsibly.
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Showing 17 entries • Updated: 2025-12-21
Companies
Click “Details” on any entry for pros, cons, and typical use cases.
Tip: Try searches like “B2B”, “fraud”, “pricing”, “digital twins”, “innovation”.
AI-augmented research suite focused on synthetic data to extend/boost surveys, improve granularity for rare groups, and improve data integrity (e.g., fraud/bot detection).
Survey boosting for small subgroups (rare demographics, niche B2B segments)Brand tracking or segmentation where you need higher statistical powerFraud detection / data cleaning to improve panel quality
Synthetic market research platform positioned for hard-to-reach audiences (notably B2B), using AI-generated audience copies to answer survey-style questions quickly.
B2B persona research and message testingGTM hypothesis testing (positioning, objections, value props)Rapid prioritisation of research questions before fielding humans
Synthetic user/market research software that generates AI personas and runs survey/interview-style research in minutes, using first-party plus public sources.
Early product discovery and concept explorationSegmentation hypotheses and persona refinementDraft messaging / feature prioritisation before human research
Virtual Audiences product using AI personas and multiple data sources to generate synthetic responses without traditional fieldwork.
Concept and creative explorationBrand perception and competitive narrative scanningTrend sensing and hypothesis generation
Creates synthetic respondent panels using machine learning, designed to evolve with internet interaction to reflect what segments care about right now.
Always-on segment monitoringMessage testing and audience narrative trackingEarly-stage concept evaluation
AI panel / synthetic respondents provider positioned around auditability and behavioural realism, often messaging toward regulated industries.
Synthetic panels for fast, repeatable testingScenario simulation and trade-off explorationPre-testing before expensive human fieldwork
Synthetic respondents offered within a broader research platform, supporting synthetic-only, human-only, or blended approaches.
Fast concept screening and iterationHybrid studies (synthetic first, human confirm)Brand/comm research where speed matters but validation is required
Synthetic survey-taking personas integrated into Toluna’s ecosystem, built from anonymised first-party panel data and positioned for rapid testing (e.g., claims).
Claims testing and optimisationRapid iteration on messaging variantsScaling early screening before live consumer validation
Market research firm offering AI-powered synthetic respondents generated from existing human data to reduce recruitment delays.
Concept, copy, and creative feedback at speedSynthetic panels tailored to specific research needsExtending the value of existing research programs
White-label/embedded solution enabling research firms to create digital twins of participants and deploy synthetic respondents using connected data sources.
Turning existing respondent datasets into interactive digital twinsAlways-on client portals for synthetic follow-up questionsScaling insight delivery across multiple brands/projects
Idea screening for CPG using NIQ data to support rapid evaluation and recommendations (positioned for high-volume innovation pipelines).
Innovation idea screening and prioritisationEarly-stage concept iteration before full concept testingPortfolio triage and rapid learning loops
Large research firm developing synthetic data capabilities including synthetic panels/persona bots and digital-twin style approaches within enterprise research programmes.
Data augmentation for hard-to-reach audiencesSynthetic panels for internal stakeholder explorationDigital-twin style scenario exploration alongside traditional research
Major research and brand guidance firm applying synthetic data methods (boosting, imputation, digital twins) within large-scale brand programmes with an emphasis on limitations and validation.
Boosting small subgroups in brand trackingImputation to reduce questionnaire length while expanding coverageDigital-twin-style scenario exploration grounded in program data
Synthetic audiences offering positioned around combining demographic, behavioural, and external signals to simulate survey-like insight generation and prioritise follow-on research.
Concept and messaging testing at speedDirectional brand/market understandingRapid scenario simulation to prioritise human research
AI-powered research tool positioned around synthetic segments and replicated customers for market expansion and pricing/packaging exploration.
Pricing and packaging explorationMarket expansion hypothesis testingEarly messaging and objection discovery
AI participants for user and market research, positioned as a faster alternative to recruiting humans for interviews and standard research tasks.
Early UX critique and usability hypothesis generationMessaging and information architecture testingRapid iteration on product concepts before human interviews
Synthetic market research platform that generates statistically grounded synthetic persona panels (digital twins) across geographies, enabling rapid quant- and qual-style research, scenario testing, and insight generation in minutes.
Concept testing and message testing at speedSegmentation exploration and persona-based insight generationMarket scenario simulation (pricing/positioning/channel strategy)
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