PureSpectrum Unveils PureScore 4.0

In California, sample marketplace PureSpectrum has announced an update for its proprietary AI-based scoring model PureScore.

PureScore was launched five years ago as an advanced machine learning-driven system designed to block 'low-quality' respondents (scoring five or less out of ten) from taking surveys. Further features were added in 2023.

Version 4.0, which the firm describes as 'supercharged by PureIntelligence', now incorporates the latest AI to find micro patterns and incorporate constant feedback loops - this produces a probabilistic, AI-powered 'intelligent' view of respondents. PureScore 4.0 bases its decisions on assessment of three main behavior groups: historical, demographic and systemic - creating a multidimensional view of each respondent. Those respondents finishing with 'Low PureScores are blocked from participating.

'PureIntelligence consumes millions of data points per hour with dozens of AI models' comments SVP of Analytics and Data Science Sushma Vasudevan (pictured above). 'The system architecture is deeply intricate and complex, but seamlessly orchestrated to deliver one thing: reliable, high-quality data'.

Chief Product Officer Mark Menig (pictured below) says the company 'recognizes the industry's battle with fraud' and remains committed to the advancement of data quality initiatives through its proprietary respondent scoring. He concludes: 'The launch of the PureIntelligence engine, however, is not simply the next evolution of PureScore, it is a transformative shift for how data quality is safeguarded'.

Web site: www.purespectrum.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.