DIGITAL TWINS
Pairs consumer video interviews with a Shadow Panel of digital twins. Its workspace separates answers drawn from interviews from modeled responses.
PRODUCT PROFILE
Brox.AI documents a mixed research platform that pairs analysis of consumer interviews with a Shadow Panel of one-to-one digital twins. It distinguishes direct findings from interview data from modeled predictions, and says those two forms of output are identified separately in its workflow.
Information from the company's product materials.
Brox describes one-to-one behavioral replicas of real people, built from recruited panels, custom audiences or a client's own customers.
The supplier presents a workflow that decomposes a question, selects relevant twins, analyzes responses and returns an answer or recommendation through a managed engagement.
Brox says it has dedicated operations in these markets. The public overview does not describe panel sizes or eligibility for a specific buyer request.
The public site directs prospective users to contact the Brox team or schedule a demo. It does not publish standard product pricing.
Methods described by the company.
Brox differentiates evidential analysis of real consumer interviews from inferential analysis using its Shadow Panel of digital twins. The supplier says both can be used within the same question workflow.
The documented workflow starts from a question, idea or market-response test, breaks it into components, queries selected twins, analyzes results and returns a recommendation or analysis.
Brox describes its digital-twin layer as supporting hypothetical scenarios and questions that extend beyond the direct responses captured in a prior interview.
Data and settings the company says teams can choose.
The supplier says it builds twins from its recruited panels, a custom audience, or a client's own customers. Its public materials describe a one-to-one relationship between a twin and the person used to form it.
Brox says its outputs distinguish responses derived from actual interview evidence from inferential modeled answers. The distinction is important when assessing whether a finding reflects direct testimony or a simulated extension.
Results reported by the company, with details about how they were tested.
Brox reports that its Shadow Panel of digital twins achieves 85% accuracy compared with traditional research, based on extensive video interviews with the people represented.
This is a supplier-reported figure. The public overview does not publish the reference studies, task types, samples, scoring definition, subgroup results or independent assessment needed to establish what the number means for a different study.
Brox distinguishes direct interview evidence from its predictive modeled layer. A reader should retain that distinction rather than treating modeled answers as additional direct respondents.
The supplier reports an accuracy figure and a real-data basis, but the reviewed material does not provide the detailed methodology required to assess performance by market, question, audience or commercial decision.
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.
