Viewpoints.ai is built by Stanford media psychologists who spent their careers measuring how people respond to messages, products, and stories. That science now powers synthetic audiences for brands, trial teams, and researchers.
For decades, knowing how an audience would react meant recruiting panels, fielding surveys, and waiting weeks for results that answered one question at a time. Our team spent those decades running that research, at Stanford and inside companies like Google, Waymo, and Microsoft Research, and watched decisions get made without it because the answers arrived after the deadline.
Viewpoints.ai turns that experience into synthetic audiences: research-grade personas grounded in media psychology and marketing science. In a published validation study, their responses matched human study results 88% of the time. Teams now use them to test ads, concepts, messages, and full legal cases, with same-day results.
Leo founded Viewpoints.ai after 12+ years leading research at Vine, Google, Waymo, VMware, and Toyota.
He holds a Stanford Ph.D. in Human-Computer Interaction (Communication). His media psychology research has drawn 2,500+ citations and has been covered in Sports Illustrated, Psychology Today, and CNBC.
Jim holds a Ph.D. in Communication from Stanford and specializes in human-computer interaction and the psychology of media. He has authored 50+ publications with over 4,000 citations, built on studies with more than 12,000 human participants.
Over the last 11+ years he has consulted on research for major firms like Cisco and Meta and for start-ups across virtual reality and social gaming, and served as a UX researcher at Google X.
Byron is a Stanford University Chaired Professor with appointments in Communication, Symbolic Systems, and the Graduate School of Education. He has published over 200 scientific papers in media psychology with more than 30,000 Google Scholar citations, and wrote the award-winning books The Media Equation and Total Engagement.
He holds three software patents in human-computer interaction, with two pending for AI and media evaluation, and spent two years at Microsoft Research developing automated dialogue systems. He has consulted for P&G, Disney, Google, Amazon, Toyota, Salesforce, State Farm, and United Healthcare, among others.
Avery served as SVP and General Counsel of the AAA Automobile Club of Southern California and its Interinsurance Exchange from 2002 to 2019, supervising more than 100 in-house attorneys and staff across transactional, regulatory, corporate governance, and litigation matters, including all class action, employment, and insurance claims litigation.
Previously a partner at O'Melveny & Myers, he is a graduate of the UCLA School of Law, where he served on the UCLA Law Review and was elected to the Order of the Coif, and holds a BS in Economics from Wharton. He taught as an Adjunct Professor of Law at UC Irvine from 2012 to 2015.
The science behind our platform
Empirical replication of 133 published human-study results
Persona responses matched human results in 88% of medium and large effects, with matching statistical significance. That is equal to or better than human-study replication rates.
Read the paper →DRI's For The Defense · by Byron Reeves and Leo Yeykelis
The first public head-to-head between a live mock jury and a simulated panel on the same case. Both reached the same defense majority.
Read the article →Book a demo and we'll run your first study with you.
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