Data Quality Co-Op
Data Quality Co-Op is an independent data quality clearinghouse that provides real-time quality intelligence, including its trademarked Data Trust Score, to market research firms, advertising research companies, and first-party data suppliers across the consumer insights ecosystem.
- Company typePrivate
- Founded2024
- HeadquartersSalt Lake City, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Data Quality Co-Op does
Data Quality Co-Op (DQC) is an independent data quality measurement clearinghouse founded in 2024 in Salt Lake City, United States. The company operates an API-first platform that delivers real-time quality intelligence for buyers and sellers of first-party data, with a primary focus on the market research and consumer insights ecosystem. Its flagship product, the trademarked Data Trust Score™, is a predictive metric ranging from 0 to 1,000 that synthesizes technical fraud indicators, in-survey behavioral signals, and participant history (tracked via the DQC Universal ID) into a single trustworthiness score. Supporting platform capabilities include a dashboard with Fraud Map View, supplier benchmarking, programmable Quality APIs, whitelist management for verified respondents, and Dig Quality Certification for independent third-party verification of sourcing standards.
The underlying technology combines structured-data analytics, behavioral science techniques, and AI-driven insights to identify inattentive, over-qualified, or fraudulent respondents in real time, enabling research teams to validate quality during data collection rather than after the fact. The platform is positioned as a neutral clearinghouse, not aligned with any single data supplier or buyer, which underpins its credibility as an industry-wide quality benchmark.
DQC's business model is enterprise SaaS with annual billing, sold through a direct field-sales motion supplemented by embedded integrations with major research platforms (Sago, Dig Insights, Advertiser Perceptions) and self-serve API access for mid-market adopters. The company serves three primary customer segments: market research firms and agencies, B2B advertising research companies, and data suppliers seeking independent benchmarking. Customer concentration is currently narrow, with Dig Insights prominently featured as a flagship reference customer. The company raised $1.25 million in seed funding in October 2024 led by Kickstart Fund, has 1–10 employees, and operates as a privately held, venture-backed entity with no disclosed revenue.
Data Quality Co-Op firmographics
Firmographics- Name
- Data Quality Co-Op
- Legal name
- Data Quality Co-op
- Website
- https://dataqualityco-op.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Data Quality Co-Op is an independent data quality clearinghouse that provides real-time quality intelligence, including its trademarked Data Trust Score, to market research firms, advertising research companies, and first-party data suppliers across the consumer insights ecosystem.
- Ownership category
- akta.pro rank
Data Quality Co-Op industry classification
Industry- Product category
- Data Quality Intelligence
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Data Quality, Profiling & Cleansing (HDAEADAD)
- akta.pro secondary industries
- Data Observability & Monitoring (HDAEADAI), Data Quality, Profiling & Validation (within Integration) (HDAEACAI)
Keywords
Where Data Quality Co-Op is headquartered
LocationHeadquarters
- HQ city
- Salt Lake City
- HQ country
- United States
- HQ region
- North America
Markets served
Data Quality Co-Op business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- Data Quality Intelligence Platform: SaaS platform providing data quality measurement, validation, and benchmarking services to research firms, agencies, and data buyers/suppliers. Likely subscription-based with enterprise licensing for API access and quality certification services.
- Data Trust Score Access: Access to proprietary Data Trust Score metric and real-time respondent trustworthiness validation. Revenue from licensing quality intelligence APIs and embedded integrations into partner platforms.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise subscription with custom pricing |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels5 records
Data Quality Co-Op product offering
Product offeringCore offering
Data Quality Co-Op operates an independent data quality measurement clearinghouse that provides real-time quality intelligence for the first-party data ecosystem. Its core offering is the Data Trust Score™, a 0-to-1,000 predictive metric combining technical fraud indicators, in-survey behavior, and participation history to assess respondent trustworthiness, delivered via a SaaS dashboard, quality APIs, and supplier benchmarking tools.
Product overview
Data Quality Co-Op operates as an independent data quality measurement clearinghouse offering a unified platform that provides actionable intelligence across the first-party data ecosystem. The core platform delivers real-time data quality assessment through the Data Trust Score™ metric, complemented by supplier benchmarking, quality APIs, and visualization tools including a dashboard with fraud map view and supplier insights. The platform supports quality validation during data collection, integration with data partners, and provides independent certification of quality processes.
Differentiator
Problem solved
Functional benefit
Brands
- Data Trust Score™: A predictive intelligence metric ranging from 0 to 1,000 that analyzes technical signals, in-survey behavior, and participation history to assess respondent trustworthiness.
Products and services
- Data Trust Score™ A predictive intelligence metric ranging from 0 to 1,000 that analyzes technical fraud indicators, in-survey behavioral signals, and participation history to assess respondent trustworthiness and data quality in real time. Built for market research firms, agencies, and data suppliers/buyers.
- DQC Platform (Dashboard) A centralized dashboard providing real-time data quality visualization and analysis, featuring new views, filters, export options, a fraud map view for pattern visualization, and supplier insights for quality monitoring.
- Quality APIs Programmable interfaces providing access to Data Trust Score data, supplier benchmarking, and quality validation capabilities for integration into external platforms and research operations.
Quantifiable outcome
- Enabled Dig Insights to identify and exclude poor-quality respondents before they enter surveys
- +1 more outcomes
Companies that use Data Quality Co-Op
Customer profileNamed customers1 record
Segments3 records
Ideal customer profiles2 records
Data Quality Co-Op technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability3 records
Feature6 records
Data Quality Co-Op partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered strategic, flagship and core.
- Advertiser PerceptionsstrategicStrategic partnership to integrate DQC's Data Trust Score into Advertiser Perceptions' research operations. Enables real-time respondent trustworthiness validation and provides independent third-party verification of data sourcing standards to clients.
- Dig InsightsflagshipFirst agency to integrate DQC's complete data quality intelligence infrastructure into Dig One platform (social insights and agile testing). Includes Data Trust Score, supplier benchmarking, quality APIs, and independent Dig Quality Certification. Partnership expanding to enterprise operations with broader adoption.
- SagocoreStrategic partnership integrating DQC's Data Trust Score into Sago's research operations. One of the largest early adopters of DQC's shared quality infrastructure. Collaboration aims to establish shared industry-wide data quality standards.
Scale indicators1 record
Recent moves6 records
Expansion highlights5 records
Data Quality Co-Op competitors and assessment
Company assessmentDirect peers
- CloudResearch: Research platform offering Sentry (participant quality verification) and other quality controls for online survey research. Targets the same market research buyers and addresses the same respondent fraud and inattention problems as DQC.
- Imperium (RelevantID): Long-standing provider of data quality and fraud-detection solutions for market research, including the RelevantID scoring product. Directly competes with DQC's Data Trust Score on the same problem of respondent-level quality verification for sample buyers.
Broad incumbents
- Dynata: One of the world's largest first-party data and research panel providers, with built-in data quality processes. As a major sample buyer/seller, Dynata is both a potential DQC customer and a competitive threat if it bundles proprietary quality scoring.
- Lucid: Programmatic research marketplace connecting buyers with sample suppliers (now part of Dynata). Operates in the same first-party data ecosystem and has quality controls that compete with DQC's offering.
- Toluna: Large consumer insights panel and online research provider with proprietary quality and fraud-prevention tools. A potential partner/customer for DQC, but also a competitor that could internalize equivalent quality scoring.
- Cint: Global sample marketplace and audience infrastructure provider for market research. Operates in the same buyer-supplier ecosystem DQC serves and has built-in quality controls that compete with DQC's neutral positioning.
- Kantar: Global market research and insights leader with significant proprietary panel and data quality operations. Represents both a potential enterprise customer for DQC's quality APIs and a long-term competitive risk if it standardizes on internal capabilities.
Emerging players
- Prolific: Online participant pool for academic and commercial research with a strong quality/vetted-participant positioning. Competes for the same end customers (researchers needing trusted respondents) but focuses on participant recruitment rather than third-party quality scoring.
- Research Defender: Specialized survey fraud detection and respondent quality tool used by market research firms. Direct overlap with DQC's fraud-map and Data Trust Score capabilities, though smaller scale and narrower feature set.
- DISQO: Audience measurement and first-party data platform with quality controls for advertising research. Overlaps with DQC's advertising-research use case (e.g., Advertiser Perceptions partnership) but is broader in scope.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights5 records
Customer concentration
Data Quality Co-Op financial estimates
Financial estimateRevenue estimate
Valuation estimate
Data Quality Co-Op leadership team
Management profileNumber of profiles
Profiles7 records
Data Quality Co-Op funding detail
Funding detailFunding overview
Funding rounds1 record
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Data Quality Co-Op M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Data Quality Co-Op
What does Data Quality Co-Op do?
Data Quality Co-Op operates an independent data quality measurement clearinghouse that provides real-time quality intelligence for the first-party data ecosystem. Its core offering is the Data Trust Score™, a 0-to-1,000 predictive metric combining technical fraud indicators, in-survey behavior, and participation history to assess respondent trustworthiness, delivered via a SaaS dashboard, quality APIs, and supplier benchmarking tools.
Is Data Quality Co-Op a public or private company?
Data Quality Co-Op is a private company. It is classified as venture growth investor backed and is currently operating.
When was Data Quality Co-Op founded?
Data Quality Co-Op was founded in 2024. It employs 1 to 10 people.
Where is Data Quality Co-Op based?
Data Quality Co-Op is headquartered in Salt Lake City, United States, in the North America region.
How does Data Quality Co-Op make money?
Two revenue lines are on record. Data Quality Intelligence Platform is the primary driver. The others are data Trust Score Access.
Who are Data Quality Co-Op's main competitors?
Direct peers on record are CloudResearch and Imperium (RelevantID). Broad incumbents are Dynata, Lucid, Toluna, Cint and Kantar. Emerging players are Prolific, Research Defender and DISQO.
Does Data Quality Co-Op have an API?
Yes. DQC offers quality APIs as part of its data quality intelligence infrastructure. The APIs provide access to the Data Trust Score, supplier benchmarking, and quality data validation capabilities. The APIs enable partners to embed continuous data quality validation into their platforms and research operations. Specific details on API type (REST/GraphQL), authentication method, rate limits, and versioning are not specified in available sources.
What industry is Data Quality Co-Op in?
Data Quality Co-Op's product category is Data Quality Intelligence. Its primary akta.pro industry code is HDAEADAD, Data Quality, Profiling & Cleansing, with a secondary code of HDAEADAI, Data Observability & Monitoring. Its NAICS code is 51821 and its SIC code is 7370.