DIGITAL TWINS
Provides a consumer-persona workspace with data ingestion and workflows for comparing model responses with human-panel results.
PRODUCT PROFILE
BotsCrew presents SyntheticAudience.ai as an enterprise consumer-research platform for querying modeled personas and comparing their outputs with live-user research. The public product description centers on configurable persona construction, source attribution and a real-audience benchmark workflow.
Information from the company's product materials.
The provider describes AI-powered consumer personas configured around demographics, attitudes, brand use and decision heuristics.
SyntheticAudience.ai is presented as a platform with data ingestion, persona creation, a conversation interface and real-audience benchmarking.
The provider describes automated randomized controlled trials that use identical prompts with modeled and real audiences, with real-user recruitment through an integration.
The supplier presents an enterprise offering and directs prospective users to request a demo. It does not display standard public pricing.
Methods described by the company.
The platform says it accepts structured files and databases alongside presentation, document and PDF files, with listed integrations to syndicated-data and social-listening sources.
BotsCrew describes a persona engine using retrieval-augmented generation and prompt conditioning, with configurable demographic, attitudinal, brand-use and decision-heuristic traits.
The supplier describes recruiting a real-user cohort for a randomized comparison with the same prompts, and measuring outcomes including purchase intent, verbatim sentiment and brand fit.
Data and settings the company says teams can choose.
The supplier documents using structured and unstructured client material plus listed third-party and social-listening integrations. The particular persona scope depends on the inputs selected for that implementation.
SyntheticAudience.ai says its conversation interface provides inline citations to data sources for each response. The public page does not demonstrate those citations for a disclosed buyer study.
Results reported by the company, with details about how they were tested.
BotsCrew reports a Pearson correlation threshold of at least 0.80 for its mandatory real-versus-synthetic randomized comparisons, and lists 87.3% accuracy among current platform metrics.
These are provider-reported platform metrics. The public page does not specify the underlying sample, populations, prompts, calculation definitions, study results or independent audit needed to generalize them to a particular buyer question.
The provider's validation design compares matching prompts with a real-user cohort. A reported correlation or accuracy metric remains tied to that audience, question set and measurement design rather than becoming a general result for every use case.
The public product page states that modeled outputs complement human research and describes demographic fairness audits. High-consequence decisions should retain the documented real-audience comparison and appropriate human review.
Offers exploratory conversations with synthetic personas.
Atani.ai: offers research using AI twins instantiated from individual interview data.
Builds digital twins from interviews with people matching a target customer profile. Teams can use these audiences for surveys, focus groups, concept and usability testing, and pricing exploration. Available through a company demo.
