01
Build the twin
Describe the audience in plain English or import a segment definition. DTwin composes a synthetic panel grounded in observed behavior, not stereotypes.
Synthetic audiences, real signal
AI digital twins of your next 1,000 customers.
Stop waiting weeks for fieldwork. DTwin simulates the audiences you actually care about, so you can pressure-test concepts, copy, and pricing in an afternoon.
- Used by insight teams at consumer brands across the EU
A research stack that thinks in audiences.
Three primitives. One workflow. From hypothesis to a defensible insight without leaving the browser.
02
Run the study
Surveys, focus groups, concept tests, message tests. Same instruments your team already uses — minutes instead of weeks to fielded results.
03
Read the signal
Every answer is traceable to a twin and an assumption. Disagree with a result? Inspect, adjust, re-run. No more black-box dashboards.
Where teams reach for DTwin first.
Concept screening
Eliminate 8 of 10 weak concepts before the brief ever reaches a human panel.
Message testing
Compare 20 headlines against 12 personas in the time it takes to brief an agency.
Pricing & willingness-to-pay
Triangulate price sensitivity with twin-level reasoning, not aggregated curves.
Pre-launch sanity checks
Catch positioning misfires before they reach paid acquisition.
Built for teams that own their numbers.
Auditable by default
Every twin response carries the inputs and the reasoning. Defendable in a steering committee, not just a pitch deck.
Your data, your boundaries
Bring your panel definitions, your prior studies, your taxonomy. We never train on customer data without explicit opt-in.
Designed with researchers
Co-built with senior insight leads from FMCG, finance, and consumer tech. It feels like a tool you asked for.
See DTwin run on an audience that matters to you.
Send us the brief. We’ll come back with a working twin and a 30-minute walkthrough.
Request a demo