Trusted Synthetic Research

As synthetic respondents, AI personas and AI-generated insights become integral to modern market research, confidence in the quality of those insights is essential.

With transparent, independent evaluation at its core, THG Fluently gives organisations confidence in the synthetic insights they use to make decisions.

We provide validation across:

  • Cultural authenticity
  • Market-specific relevance
  • Accuracy across 160+ languages
  • Subgroup representation
  • Cross-market consistency
  • Predictive reliability

Synthetic Data Validation Services

Supporting synthetic panel providers, market research agencies, enterprise insight teams, and survey platform providers, we help organisations measure whether synthetic respondents and AI-generated insights are realistic, culturally appropriate, and fit for business decision-making.

Explore our Services:

Independent review of synthetic respondent outputs.

  • Native-speaker review
  • Cultural plausibility assessment
  • Market-specific realism scoring
  • Identification of synthetic bias patterns
  • Detailed validation report

Compare synthetic research outputs against real-world benchmark studies.

  • Questionnaire review
  • Prediction registration framework
  • Cross-market comparison
  • Variance analysis
  • Executive scorecard

Determine whether AI personas behave realistically in local markets.

  • Persona review by native experts
  • Cultural authenticity checks
  • Local terminology assessment
  • Behavioural plausibility scoring
  • Recommendations for calibration

Review and validate multilingual training and evaluation data for synthetic research and AI models.

  • Human-authored reference responses
  • Survey and prompt review
  • Translation validation
  • Cross-language comparability assessment
  • Cultural annotations and evaluation benchmarks
  • Multilingual testing assets and respondent behaviour modelling

Value Through Confidence

We increase confidence in synthetic research by independently validating AI-generated insights across languages and markets. Our approach helps organisations identify cultural and linguistic bias, benchmark synthetic outputs against real-world expectations, strengthen governance for AI-enabled research, and build greater trust with clients and stakeholders.

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