Testimony tells you what a witness said. Behavioral AI tells you why.
Reading a witness has always come down to human judgment, and human judgment is inconsistent. Sentiment analysis has long been used to read tone and emotion in text. InFactIQ builds on that same foundation, then extends it. Grounded in peer-reviewed neuroscience, our proprietary Behavioral AI assesses natural behavior across text, video, and voice, and produces an alignment signal on whether a witness’s behavior tracks what they’re saying.
Built for high-volume
claims & complex litigation
Built on peer-reviewed
science
Dr. Chris Gregg
Co-Founder | Chief Science Officer, InFactIQ
BehaviorIQ came from research led by Dr. Chris Gregg, InFactIQ’s Chief Science Officer and a professor of neurobiology at the University of Utah.
Gregg is one of the field’s recognized voices on behavioral analysis, with peer-reviewed work in leading scientific journals and a record of taking behavioral science out of the lab and into practice.
The thesis behind all of this is that natural behavior is not random.
Grounded in peer-reviewed neuroscience, it can be measured and broken down into consistent, repeatable patterns rather than the subjective impression a person forms watching a witness.
Behavior is among the most predictive data available and it has been studied rigorously enough to publish and defend.
InFactIQ applies that science to testimony.
Where a transcript captures the words, the behavioral read assesses whether a witness’s behavior aligns with them, measured the same way for every witness.
