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Elevate Data Confidence, Fuel Innovation

The only self-evolving fraud detection built by researchers, for researchers. Ensure precise, trustworthy data without sacrificing scale.
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A Smarter, Self-Learning Solution Made for Researchers

  • High-qualified data
  • Cost reduction
  • Fully intergated
  • Better OE response
  • Diversification
  • Better sample control
  • Effortless Integration
    Built into our system for a seamless experience.
  • AI That Learns
    Continuously refines detection models in real time.
  • Researcher-First Design
    Works with any research project, not just panel work.
  • Cost Reduction
    Slash costs through automated fraud prevention.
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End-to-End Process

Protection at Every Stage of Your Research

  • Pre-Survey
    60-Second Screening
    Prevents ChatGPT and other AI tools from contaminating your surveys, ensuring responses come from real people.
  • During Survey
    Real-Time Monitoring
    Detects speeders, inattentiveness, and AI-generated answers in action without interrupting flow.
  • Post-Survey
    Smart Reconciliation
    Minimizes manual cleaning and ensures reliable, consistent datasets ready for analysis. 
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Features

Advanced Fraud Prevention. Smarter Data.

Research Shield™ is designed to tackle your toughest survey challenges with cutting-edge features, all operating IN REAL TIME, giving you confidence in your data and decisions.

Real-Time Bot Detection

Instantly identifies and blocks bots using behavioral and device signals.
ResearchShield | Real-Time Bot Detection

AI-Response Blocking

Prevents ChatGPT-style responses to ensure answers come from real humans.
ResearchShield | AI-Response Blocking

Auto-Translation Detection

Flags machine-translated text that could distort meaning.
ResearchShield | Auto-Translation Detection

IP Deduplication

Removes duplicate entries from the same IP for cleaner datasets.
ResearchShield | IP Deduplication
Use Cases

Smart Protection for Every Research Environment

Market Research Firms
Block fraud, boost data quality, and cut cleanup costs.
Corporate Researchers
Get authentic feedback for smarter, faster decisions.
Survey Panel Providers
Protect data at scale with seamless, always-on integration.
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Stay Informed

Insights into Survey Fraud

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FAQ

Frequently Asked Questions

Explore our FAQs to find answers to common questions about anti-fraud solutions:
What is Research Shield™, and how does it work?
Research Shield™ is a fraud detection and prevention solution designed to protect the integrity of your surveys. It uses advanced technology, including behavioral analysis, bot detection, and engagement verification, to identify and block fraudulent responses before they impact your data.
What types of fraud does Research Shield™ detect?
Research Shield™ detects a wide range of fraud, including bot activity, fake respondents, duplicate entries, and survey manipulation. It also prevents fraudulent data from corrupting your survey results, ensuring the validity of your data.
Can Research Shield™ analyze open-ended responses?
Yes, Research Shield™ can monitor and filter open-ended responses. It uses AI-enhanced monitoring to identify low-quality or spammy entries, ensuring that all responses, including open-ended ones, are valuable and relevant.
Does Research Shield™ store survey data?
No, Research Shield™ does not store survey data. It focuses on analyzing and protecting data in real-time during the survey process, without retaining or accessing sensitive information.
Can I see a demo of the features in action?
Yes, we offer demos that showcase how Research Shield’s features work in real-time, allowing you to see how it detects fraud and ensures data integrity during your surveys.
How is pricing structured for Research Shield™?
Pricing for Research Shield™ is based on your survey volume and needs. We offer scalable and flexible plans tailored to the size of your operations, ensuring you only pay for what you use. Contact us to get a customized pricing plan.

Ready to
Shield Your Surveys?

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    Comprehensive 60-Second Screening
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    AI-Powered Real-Time Monitoring
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    Minimal Bias, Maximum Diversity
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