Data Quality Co-op (DQC) is the independent clearinghouse for primary data quality. We solve the data quality challenge by operationalizing a continuously learning feedback loop that delivers predictive quality intelligence.

At the center of our platform is the Data Trust Score™, an objective, respondent-level metric that quantifies trustworthiness on a 0 to 1,000 scale. It combines fraud signals, in-survey behavior, and participation history into one clear score, giving you a view from around the industry on how each participant is acting.

Better Signal for Insights and AI: Whether you are training models or generating consumer insights, you need data fit for purpose. Instead of relying on disconnected checks or heavy post-field cleanup, teams use the Data Trust Score to make earlier, informed decisions about sourcing, routing, and quality thresholds.

Unified Quality Standards: The DQC platform serves as a central hub for transparency. Whether you are pursuing specific ISO certifications, aligning with global industry quality initiatives, or simply seeking better visibility into your suppliers, you can verify and benchmark it all within the platform.

DQC enables organizations to:

- Identify inattentive, fraudulent, or over-used participants immediately.
- Fast-track verified, high-quality respondents.
- Reduce time spent on post-survey cleaning and reconciliation.
- Benchmark suppliers against objective, shared industry standards.
- Communicate data quality clearly to clients and stakeholders.

Our mission is simple: ensure every business decision, marketing campaign and AI model is powered by high-quality primary data.


DQC, Inc.

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DQC, Inc.

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Teams

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