Traditional Research
New question, new survey cycle.
Define the sample, recruit respondents, run fieldwork, and repeat from scratch for every new hypothesis.
E PLURIBUS UNUM
HDTwin is the European platform for creating a synthetic panel that represents your target audience. Use it to test ideas, messages, products, and decisions before field research.
Start with a description of your target, calibrate it with your real empirical data, and obtain Human Digital Twins, meaning synthetic personas, customers, and respondents aligned with the characteristics of the population you want to study. Interrogate the panel and analyse not only what your audience thinks but why: motivations, opinion groups, polarization, and areas of consensus.
It is not a chatbot: it is an entire synthetic population calibrated on your data.
Rethink research
Traditional research is valuable, but every new study takes time, recruitment and budget. HDTwin adds a synthetic research layer that lets you explore more hypotheses before deciding what deserves real-world validation.
New question, new survey cycle.
Define the sample, recruit respondents, run fieldwork, and repeat from scratch for every new hypothesis.
Initialize the panel once. Keep exploring.
Build Human Digital Twins of your target and use the synthetic panel to simulate new questions, scenarios, and hypotheses.
Qualitative and quantitative analysis: explore what your target thinks and why.
Concept & Claim Pre-testing: Measure Reactions and Barriers in a Simulated Environment
Consensus and polarization: identify convergence and move beyond the average response.
Turn Static Survey Reports into a Reusable, Recalibratable Panel
Maximize Research Value: Offer Clients an On-Demand Synthetic Panel Between Survey Cycles
Accelerate Concept Pre-testing and Reduce Validation Costs Before Stage Gates
Methodological Evaluation: Inspect Provenance, Calibration, and Traceability
In collaboration with the University of Rome Tor Vergata and IPSOS, HDTwin created a virtual panel of 1,000 Human Digital Twins to explore how new policy formulations can create broad consensus. A Renewable Energy Communities proposal reached 94.1% agreement among Italian respondents. The research is described in E Pluribus Unum: AI-assisted Consensus Building.
Bring a topic you care about and put the HDTwin platform to the test.
A 30-minute online session with HDTwin specialists, tailored to your needs.