An AI-native platform purpose-built
for insights team

Compeers AI is AI-native instead of being AI-retrofitted. AI is embedded into the Compeers AI's research workflows from the ground up, rather than added on top of legacy processes.

For the user, that means less manual work, fewer disconnected steps, and faster movement from raw data to analysis and reporting. The AI can assist throughout the process while preserving user control, allowing researchers to spend more of their time on interpretation, stakeholder context, and strategic thinking rather than the mechanics of research.

No. Compeers AI uses real human respondents for primary research and does not use synthetic respondents as a substitute for real consumers. We use AI to make research faster and more efficient, including research design, data processing, analysis, coding, visualization, and reporting, but the underlying consumer input comes from real people.Our concern with synthetic respondents is fundamentally one of measurement.

Synthetic responses are model-generated approximations and can be affected by source data, prompting, model behavior, and other implementation choices. They can also compress real-world variation and produce responses that appear plausible without necessarily representing how actual consumers think or behave. While synthetic data may have value for exploration or narrowly defined applications, we do not believe it is currently a reliable general substitute for human respondents in primary market research.

For a deeper discussion of our position and the research behind it, see the articles on synthetic data and synthetic respondents in the Compeers AI blog, including Why Synthetic Respondents Fail the Test of Stable Measurement and How to Test Synthetic Respondents Without the Help of a Data Scientist.

Yes. The methodology, the analysis, and the final deliverable meet a rigorous professional standard, and a senior researcher reviews every stage before the project moves forward. The speed and cost-savings come from the judicious and appropriate use of the right technology in right places.

The best way to evaluate Compeers AI is to use it with data from a project you have already completed and compare the reports it generates with your existing report.

Certain work, like data cleaning, crosstab analysis, and coding, is simply better handled by machines: faster, more consistent, and less error-prone than currently done. That frees the researcher to lead the study and focus on interpretation and strategy, which is where their judgment matters most. Lower cost comes from removing the manual grind, not the expertise.

Many teams run Compeers alongside an existing agency relationship, often on faster-turnaround studies or projects that did not fit the agency budget. It does not have to be all or nothing.

Yes. Once an NDA is in place, share the data from a study you have already run. We will deliver a full report within the hour that you can judge against your original, before your first live project.