At PureSpectrum, quality is foundational to everything we build and deliver
Since 2019, PureScore™ has set the industry standard for respondent-level quality scoring. Powered by PureIntelligence™, its AI models analyze billions of data points per hour across behavioral, device, human, and location signals to identify and address fraud throughout the research lifecycle.
We’ve built a multi-source Marketplace designed to reduce sampling bias and support representative data at scale. The result is faster fielding, cleaner insights, and greater confidence in the data behind every decision.
Why multi-sourcing protects your data
PureSpectrum has 290+ vetted sources spanning 125+ countries. The result: reduced bias, lower operational risk, and access to global audiences.
Multi-source sampling blends respondents from diverse recruitment channels. This natural variation decreases bias and improves representativeness, producing samples that more closely reflect your target population across behaviors, demographics, and geographies.
Multi-source distribution strengthens fieldwork by balancing delivery, quality, and feasibility across sources, helping studies stay on track even as conditions shift.
With coverage in 125+ countries and access to both consumer and B2B audiences, multisourcing enables research in hard-to-reach markets without compromising quality or speed.
Quality that learns and adapts as fraud tactics evolve
PureSpectrum designed PureScore™ as part of our corporate commitment to quality. As fraud continues to evolve, we make the ongoing investments so our strategies and protocols constantly adapt to keep you safe.
Respondent-level AI scoring that protects every data point
PureScore™, powered by PureIntelligence™, analyzes billions of data points hourly across behavioral, device, human, and location signals. Low PureScores™ never reach your survey – only verified participants get through.
PureScore™ operates in real time, continuously scoring respondents as they move through the survey experience, blocking risk before it impacts data quality.
Independent research proves PureScore™ reduces risk of fraud by half
Research approach
To measure PureScore™ effectiveness, we conducted independent research comparing respondents with low and high PureScores™. Using risk ratio analysis, we measured behavioral deviation in both groups to quantify how PureScore™ mitigates risk and improves respondent pool quality. This research-on-research study analyzed thousands of surveys to demonstrate the measurable impact of respondent-level quality screening on data integrity, reliability, and business decision confidence.
Key discovery
Respondents with low PureScores™ pose double the risk of questionable data compared to high-scoring respondents. As sample size increases, the risk from unreliable responses grows exponentially. Low PureScores™ display patterns linked to fraud, inattentive behavior, and inconsistent answers, dramatically increasing the likelihood of misleading insights. Without respondent-level screening, researchers face compounding quality risk with every complete collected.
Real-world impact
Since 2019, PureScore™ has reduced risk in millions of surveys by blocking low-quality, fraudulent respondents before they reach your survey. Our proprietary AI system profiles behavior across multiple sessions, evaluating credibility, reliability, and consistency over time. By eliminating risk across sample sources through respondent-level screening, PureSpectrum consistently delivers the quality researchers need to make confident, defensible decisions backed by reliable data.
Protect your data with PureScore™ 5.0
Evolved through five PureScore™ versions, PureScore™ 5.0 detects AI use mid-survey instantly. Continuity tracking stops AI assistance before it corrupts your data.
The fifth-generation defense against AI-assisted fraud: mid-survey behavior detection
Now in its fifth version, PureScore™ 5.0 detects AI use mid-survey by tracking device, location, and interaction continuity. Session breaks get flagged instantly.
What makes PureScore™ different?
Explore how PureScore™ ensures data confidence
