Crowdmines.ai Launches an Agentic AI Platform for Professional Quantitative Market Research

TORONTO, Canada — October 13, 2026 — Crowdmines.ai today launched an agentic AI system for professional quantitative market research, built by a team of market research and statistics professionals and AI developers. It covers conjoint, MaxDiff with TURF, segmentation, driver analysis and pricing, and includes a respondent-quality audit tool.

Statistics computed, not generated

Crowdmines.ai was eighteen months in development. Its statistical procedures are hard-coded, so the same inputs produce the same output on every run. Language models do three other jobs: understanding the research question, selecting the analytical approach that best answers it, and drafting the interpretation from computed results.

The researcher stays in charge

A project starts with the business question. The platform tests several methods against it across a range of solutions, returns the comparative fit evidence, and lets the researcher choose. Researchers can accept, adjust or override at every step.

“Researchers tell us they save hours on the modelling and then spend those hours checking the output, because they can’t be sure what the model did,” said Allen Turner, VP of Research at Crowdmines.ai.

Four modules

Crowdmines.ai starts from the raw SPSS file a researcher already has.

• Survey Guard audits a completed survey file with 61 built-in checks, which researchers can edit and add to. Every respondent is marked clean, review or exclude, and every flag gives the question, the respondent’s answer and the reason it was raised, rather than a score.
• Research Helper answers plain-English questions about a completed SPSS file, from variable checks and cross-tabs to subgroup analysis.
• Specialist Agent Hub adds segmentation, a typing tool that classifies new respondents into existing segments, driver and pricing analysis (Shapley, Van Westendorp, Gabor-Granger), and data exploration.
• Trade-off Platform offers choice-based conjoint with hierarchical Bayes estimation, benchmarked across ten synthetic populations, plus MaxDiff and TURF.

Availability

Crowdmines.ai is available now with API access, and MCP access will follow shortly. The company was co-founded by Shams Tabrez and Khoa Doan.

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