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Research that pays for itself.

Get to insight in minutes, not weeks, at a fraction of the cost of traditional research.

Recruitment Agency
Cost per interview$80-120
Time for first insight2-4 weeks
Participant recruitment requiredYes
Scheduling overheadHigh
Iterative follow-up questions
RAG / proprietary data enrichment
DIY Recruiting
Cost per interview$30-60
Time for first insight1-2 weeks
Participant recruitment requiredYes
Scheduling overheadMedium
Iterative follow-up questionsLimited
RAG / proprietary data enrichment
Synthetic Users
Cost per interview$2-60
Time for first insightUnder 2 minutes
Participant recruitment required Not needed
Scheduling overheadNone
Iterative follow-up questions
RAG / proprietary data enrichment

$2-60

Per interview, versus $100+ with traditional research agencies

85 – 92%

Synthetic-organic parity in independent comparison studies

< 2 min

Average time to run a full study

21+

Peer-reviewed papers supporting the synthetic research thesis

FAQ

The questions we hear on every demo call

Is this meant to replace real user research?

No. Synthetic Users is a discovery co-pilot. It helps you front-load the problem space, sharpen your questions, and decide where to spend organic research budget. Real user research stays essential for validation and edge-case work.

How accurate are the synthetic participants?

Across our independent comparison studies, parity sits between 85% and 92% depending on audience type, measured across thematic overlap, depth, and qualitative alignment. We publish the methodology and the gaps openly in our /science section.

How is this different from asking ChatGPT?

ChatGPT is a single agent without continuity, audience definition, or interview structure. Synthetic Users runs a multi-agent architecture where each participant develops a stable personality profile (OCEAN-grounded) and maintains full context across every question.

Is 10 participants enough? We normally need statistical significance.

For qualitative work, 10–12 well-defined participants typically reach saturation — and our saturation score lets you see when new participants stop adding novel themes. For quantitative confidence, you can scale to hundreds in the same study.

Can we use our own proprietary data to enrich the participants?

Yes — RAG-grounded studies let you feed transcripts, support tickets, customer conversations, and any other proprietary data into the participant model. Your data stays yours; we don't train shared models on it.

What are the security and compliance requirements?

We're SOC 2 compliant, run regional infra (EU + US), and offer a Data Processing Addendum. See /dpa for the legal detail.

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