Rep Data

What Rep Data does

Rep Data is a full-service data collection partner that provides a quality-first insights engine for modern research teams. They offer advanced technology, expert support, and consistent execution to help organizations field research faster and with greater confidence. Their platform includes solutions for sourcing and field management, fraud and data quality, and insights and analysis. Rep Data's core mission is to be a reliable, repeatable data collection partner, addressing issues like sample quality degradation, service crises in the panel world, feasibility gaps in niche studies, and the threat of AI-generated fraud. They screen 5 billion survey attempts annually and offer a multi-layered defense system combining pre-survey fraud prevention technology, machine learning, human expertise, and constant monitoring.

Products

• Research DefenderRep Data’s fraud prevention platform, built to stop bad data before it reaches analysis. It protects studies from duplicate responses, click farms, bots, AI-assisted survey takers, and other high-risk behavior. It screens every entry up front, catching fraudsters across the entire ecosystem using VPNs, emulators, suspicious tech combos, and multiple identities.
• ReDemProvides in-survey data quality assurance through automated checks, scoring every survey response with AI-powered quality controls. It evaluates responses across multiple quality dimensions including open-ended answer quality, internal coherence, keystroke behavior, completion speed, and grid-question patterns, rolling up into a single Quality Score per respondent.
• Research Platform (SightX)An all-in-one system for modern insights teams, enabling concept testing, brand tracking, pricing strategy, content research, customer experience, and product development studies. It integrates programming, sample, quality, and analysis into one workflow, offering advanced methods and a built-in AI research consultant.
• Sample Sourcing (Research Desk)A platform for central control over sample sourcing, managing 20+ integrated vetted sources. It allows users to set quality thresholds, source blend caps, targeting, quotas, and budget, with pre-survey fraud prevention screening every respondent.
• Research ServicesExpert-managed data collection with a dedicated team handling survey design, programming, sourcing, and cleaning, allowing clients to focus on insights.
• Survey ProgrammingExpert survey programming for complex logic, quotas, and multi-language studies. It is device-agnostic and built to spec, with the Rep Data quality stack built in.

Key capabilities

• Automated panel sourcing, targeting, and field management
• Pre-survey AI fraud detection and blocking of fraudulent respondents
• In-survey and post-survey data cleaning for untrustworthy responses
• Survey engine for programming, fielding, and analysis
• 130+ signal digital fingerprinting for pre-survey fraud defense
• Hyperactivity detection (e.g., 50-100+ surveys/day)
• Industry's first no-fly fraud suppression list
• AI-powered evaluation of every response across open-ends, coherence, keystroke behavior, speed, and grid patterns
• Central control over 20+ integrated panels with quality thresholds and panel blend caps
• End-to-end research platform with quality at the core (programming, fielding, fraud prevention, data cleaning, analytics)
• Expert survey programming for complex logic, quotas, and multi-language studies
• Self-serve options for independent researchers and lean teams
• Expert support for complex, large-scale, or high-stakes work
• Bot & VPN detection
• Basic speeder detection
• AI / LLM response detection
• In-survey quality scoring
• Supplier scorecards
• Design QA audit
• Custom quality thresholds
• Dedicated account team (Enterprise plan)
• Custom SLA & uptime guarantees (Enterprise plan)
• SSO / SAML integration (Enterprise plan)
• On-premise deployment option (Enterprise plan)
• API access & webhooks (Enterprise plan)
• 8 external reputation databases checked for fraud prevention
• Full transparency on blocked respondents and rejection reasons
• AI Language Pattern Detection for LLM-generated text
• Automation and Script Detection for agentic bots
• Behavioral Biometrics for non-human patterns
• Programmatic Browsing and Crawler Detection
• Cross-Ecosystem Hyperactivity detection
• Open-Ended Score (AI evaluation of open-ended responses)
• Coherence Score (AI detection of contradictions across answers)
• Behavioral Analytics Score (monitors keystroke rhythm, pauses, typing speed)
• Time Score (question-level timing analysis)
• Grid-Question Score (detects mechanical answer patterns)
• Automated bidding and sourcing for sample
• Real-Time Supplier Scorecards
• Configurable Quality Thresholds
• Advanced methods built into Research Platform (MaxDiff, conjoint, TURF, Van Westendorp, Gabor-Granger, key driver, text and sentiment analysis)
• Rep Data AI Research Consultant for questionnaire design, method choice, and results interpretation
• AI-Assisted Analytics and Reporting (cross-tabulation, weighting, significance testing, persona creation, visualization)
• Access to 250+ panel suppliers across 100+ countries
• Ability to source low-incidence, B2B, healthcare, international, and niche audiences
• Management of interlocking quotas and longitudinal recontact studies

Use cases

• Maximizing feasibility and reducing bias in research
• Reaching consumer, B2B, and niche audiences
• Protecting studies from duplicate responses, click farms, bots, and AI-assisted survey takers
• Programming, fielding, and analysis of surveys
• Pre-survey fraud defense and suppression of bad actors
• In-survey quality scoring and data cleaning
• Centralized control over panel sourcing, targeting, and budget
• End-to-end research workflow management
• Survey design and programming for complex studies
• Self-serve research for independent researchers and lean teams
• Expert support for complex, large-scale, or high-stakes research
• Quality assurance for research programs
• Blocking fraudsters before they enter surveys
• Protecting brand metrics and strategic decisions from fraudulent data
• Detecting and blocking sophisticated agentic fraud and AI-generated responses
• Eliminating manual data cleaning
• Concept testing
• Brand tracking
• Pricing strategy
• Content research
• Customer experience studies
• Product development studies
• Political polling
• Public opinion research
• Digital media research
• Education & assessment research
• Market research & analytics
• Automotive research
• Academic research
• Sourcing hard-to-reach audiences (low-incidence, B2B, healthcare, international)
• Managing complex, interlocking quotas
• Longitudinal and recontact studies

AI approach

Rep Data uses AI and machine learning extensively for fraud detection and data quality assurance in market research. This includes pre-survey AI fraud detection, in-survey AI-powered evaluation of responses (open-ends, coherence, keystroke behavior, speed, grid patterns), and AI language pattern detection to identify LLM-generated text. Their Research Platform also includes "Rep Data AI" as a research consultant for questionnaire design, method selection, and results interpretation.

Tech named: AI, LLM, machine learning, ChatGPT, Claude, Selenium, JavaScript

Industries served

• Market Research
• Consulting
• Political Polling
• Public Opinion Research
• Digital Media
• Education & Assessment
• Automotive
• Academia
• E-commerce
• Fintech
• Martech

What it says sets it apart

• Quality-first approach built into every layer of research
• Multi-layered defense system combining pre-survey fraud prevention, in-survey data cleaning, and expert services
• Access to 250+ panel suppliers across 100+ countries for maximizing feasibility and reducing bias
• Rigorous quality checks before, during, and after fieldwork
• Proprietary fraud prevention platform (Research Defender) with 130+ signal digital fingerprinting and no-fly fraud suppression list
• AI-powered in-survey data cleaning (ReDem) for evaluating every response
• Ability to detect and block AI-generated responses and agentic fraud at scale
• End-to-end research platform (SightX) integrating programming, sample, quality, and analysis
• Built-in AI research consultant (Rep Data AI) for questionnaire design, method choice, and results interpretation
• Centralized sample sourcing platform (Research Desk) managing 20+ integrated vetted sources with real-time quality scores
• Honest feasibility and sourcing strategies for complex and niche audiences
• Flexibility for self-serve or expert-managed data collection
• Focus on preventing fraud and bad data rather than just cleaning it post-fieldwork
• Programmatic access to all sample sources via API
• Dedicated client success partnership
• Ability to catch 21-38% of traffic from even reputable panels as suspicious
• Continuously evolving defense against AI threats with 12 specific detection methods
• Significant cost savings and faster turnaround times compared to traditional methods