Research that pays for itself.
Get to insight in minutes, not weeks, at a fraction of the cost of traditional research — on annual plans powered by a single Research Token pool.
Cost per interview
Within your annual token pool
Time for first insight
Participant recruitment required
Scheduling overhead
Iterative follow-up questions
RAG / proprietary data enrichment
Upload your own data
Brainscan-powered unique participants
A distinct individual, never a persona
How pricing works
Annual plans, powered by Research Tokens.
Plans start at $12,500/year. Choose a tier, then run as much or as little research as you need — one flexible token pool covers every interview.
One annual token pool
Every study draws from a single pool of Research Tokens — the same currency whether you show images, video, or a live website.
Brainscan-powered participants
Every synthetic user is a distinct, brainscan-powered individual — never a generic persona — on every plan, at no extra burn.
You pay for depth, not seats
A standard-depth interview burns about 10,000 tokens; quick pulses cost less and deep dives more. Collaborative seats are always unlimited.
Nothing goes to waste
Up to 20% of unused tokens roll over at renewal, so the research you don't run this year isn't lost.
$2-60
Per interview, within your annual token pool — 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
How does pricing work?
Plans are annual and run on Research Tokens — one flexible pool that powers every interview, whether you show images, video, or a live website. Tiers start at $12,500/year and each includes a token grant, unlimited collaborative seats, and brainscan-powered unique participants at no extra burn. Token burn scales with the stimulus and interview depth (a standard-depth interview is roughly 10,000 tokens), and up to 20% of unused tokens roll over at renewal. Configure a plan and see exact numbers at pricing.syntheticusers.com.
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.
Get started
See what your team
could learn this week.
30 minutes. We’ll run a live study with you, show you the output, and answer every question on your list.
Book demoNo commitments. Bring your skepticism, we’ll address it.