Advancing Human Potential

At Veebit we build game-changing products using advanced psychometrics in big data environments.

What does success look like? This question lives at the heart of Veebit’s purpose: to identify the traits and values of the individual that are likeliest to foster success, calibrated for specific real-world contexts.

Until now, predictive analytics have focused on data about who people are on the surface —how we act, who we know, what we engage with. By running this data through powerful analytics engines, connections emerge. For all they can tell us, deep insight into the intra-personal human factors affecting decisions and behaviors has remained elusive.

But what if we could dive deeper to understand actual relationships of cause and effect? Veebit uses the power of psychometrics to build new tools for uncovering how a person’s attitudes and aptitudes inform decisions and behaviors. The result is a new layer of insight that complements, and exponentially improves, the predictive power of big data analytics.


The shortest distance between talent and teamwork:
veebitTEAM is simply a better way to bring people together in a complex and changing world.

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Our Consulting Process

We will work with your team to craft an implementation plan based on clear business goals, then customize a technology solution to deploy Veebit analytics in your environment.

  1. Define specific research objectives aligned with your business goals, existing data resources and analytics tools
  2. Design pilot project and implement Veebit technology to gather data
  3. Evaluate results, augment with customized queries and measurement scales
  4. Map and interpret the data, build performance metrics integrated into existing KPIs, track trends and measure outcomes to inform decision-making

Our Technology

The Veebit technology platform is built as an open architecture, with flexibility in mind. We host our core engine in the cloud and build client applications using a REST API. We are also able to create widgets to consume our services and expose Veebit functionality on client sites where API integration is not needed. Our solutions include customized centralized reporting and are highly scalable.


Terri Persico

Terri Persico is the Founder and CEO of Veebit, and is responsible for business development and platform vision. Since 2004 her work has focused on the innovation of personalized service and product offerings through the application of psychometric measurement methodologies for both the b2b and b2c markets. She has served in this role as an independent consultant to private foundations and companies, as Director of Private Client Advisory at Geneva Global and as the Founder of Veebit. In founding the company, she has convened a multi-disciplinary team of seasoned leaders, with a commitment to creating the most socially relevant, scientifically sound and technologically powerful research and analytics tools for use by individuals and industry alike. Terri began her career in the financial services industry, providing wealth management services to high net worth families and institutional clients while at Merrill Lynch and Citigroup. Terri holds an MA in Economics from the School of Advanced International Studies (SAIS), Johns Hopkins University and a BA from the University of California, Berkeley.

Aaron Sloman

Aaron Sloman is Veebit’s Chief Strategy Officer and oversees all aspects of technology strategy for the company and its clients, bridging the gap between business goals and technology implementation. Aaron worked at Microsoft during the wave of technology change that began in the late 1990’s, marked by the browser wars, platform battles and evolution of data driven user experiences. He worked alongside clients’ executive teams to drive thought leadership and map to technology solutions, leading the implementation teams for the Gap, Starbucks, MSN, Ford, and Intel. In 2005 Aaron left Microsoft to form speakTECH, a technology consulting firm which was acquired by Perficient in 2010. Over the course of five years, Aaron grew speakTECH to became a leading implementation partner for the largest internet companies & enterprises including MySpace, Disney, Dell and Microsoft. Before joining Veebit in 2013, Aaron spent three years at Perficient, where he led their Microsoft business practice, helped drive M&A efforts and strategy, and organizational restructuring.

Jean-Luc Ferrière

Jean-Luc Ferrière is Veebit’s Chief Commercial Officer, focused on all commercial and monetization opportunities. Jean-Luc spent over 20 years in the iGaming industry, working with Microgaming, one of the pioneering B2B software and technology giants of the industry. With senior leadership experience in every operational aspect of high performing organizations from HR to commercial strategy, Jean-Luc left Microgaming in late 2020 to form People Purpose, an Isle of Man based management consulting firm, specializing in purpose led strategies and operational efficiency.

Kyung (“Chris”) Han, PhD

Chris Han is the Chair of the Veebit Research Committee, Emeritus and is responsible for the development and implementation of the company’s psychometric measurement models. He is also the Director of the psychometric team at the Graduate Management Admission Council (GMAC) where he is responsible for developing new and innovative approaches to improve the measurement efficiency and test experience, conducting studies and investigations of the validity of the interpretations and decisions made based on GMAT® exam data, and conducting innovative research efforts related to GMAC exams. Chris received a PhD in Research and Evaluation Methods from the University of Massachusetts at Amherst, has been widely recognized for his work in the field of psychometrics, including receiving the Alicia Cascallar Award for an Outstanding Paper by an Early Career Scholar in 2012 and the Jason Millman Promising Measurement Scholar Award in 2013 from the National Council on Measurement in Education (NCME). Chris’s work is widely published and he has developed several psychometric software programs which are used widely in the measurement field.

Gabriela Czarnek, PhD

Gabriela Czarnek is an Associate Psychometrician at Veebit and serves as the Psychology Research Manager. Her work is focused on building psychometric models for personality, values, and attitudes with applications in different settings, e.g., education, human resources, finance, and marketing. Gabriela currently serves as a Postdoctoral Researcher at Jagiellonian University in Cracow Poland, following a term as a Visiting Researcher at the Psychometrics Centre at the Judge Business School, Cambridge University.  She holds a Ph.D. in Psychology from Jagiellonian University. She also has a training in Educational Measurement, with a focus on psychometrics and statistical analysis. Her research interests are focused on psychometrics, social cognition, and psychophysiology.

Lee Musgrave

Lee serves as Creative Director at preciousbluedot ltd., Veebit’s product development partner. A lifelong passion and involvement with digital art and design in various guises, Lee joined Rare, the then most exciting video games developer on the planet, after completing an honours degree in Cognitive Psychology during 1995. Eventually becoming Head of Art & Design for the studio, he directed a 75 strong team of hugely talented individuals to design and create digital interactive entertainment crossing many demographic boundaries and genres including Donkey Kong Country, Killer Instinct and Goldeneye. Rare was instrumental in Nintendo’s success in the US, and became the first ever Western business in which Nintendo invested. In 2002 Rare was purchased by Microsoft for $375M and has since been a key developer for Microsoft and Xbox.

Mark Betteridge

Mark is the Technical Director at preciousbluedot ltd., Veebit’s product development partner.  Previously, he served as a Director of games studio Rare for over 20 years, and held various positions from Software Director to Head of Studio. Throughout this time, Rare grew from 3 people to over 250, sold over 110 million games, grossing over $5bn at retail, and was responsible for many loved titles including Donkey Kong Country, Killer Instinct and Goldeneye. Rare was instrumental in Nintendo’s success in the US, and became the first ever Western business in which Nintendo invested. In 2002 Rare was purchased by Microsoft for $375M and has since been a key developer for Microsoft and Xbox.

Galen Buckwalter, PhD

Galen Buckwalter is CEO and Founder of psyML, where he leads a team of scientists and data analysts working at the intersection of human and artificial intelligence.  Veebit works with psyML in the delivery of psychometric assessment and the creation of deep learning models to better understand the psychological states people express online.  Galen has has been a research psychologist for over 25 years, starting at USC where he worked primarily on the effects of hormones on cognition during pregnancy and aging at USC.  Later, he started a behavioral outcomes research program at Kaiser Permanente and ultimately became the creator of the assessment & matching system as the Chief Science Officer for eHarmony.  Galen has worked in both academia & industry, including research at the Institute for Creative Sciences at USC using VR to develop a resilience training program for Marines, & as CSO for Payoff, a financial services company focused on using psychology to remove debt & live well.

Laura Harrison, PhD

A social neuroscientist, Laura Harrison is an expert in how our brains allow us to understand & interact with each other, in both health & disease. After receiving her Ph.D. in Computation & Neural Systems from the California Institute of Technology, she conducted research as a postdoctoral scholar at the University of Southern California. Designated as a national Goldwater Scholar while an undergraduate at Scripps College, Laura has long been devoted to scientific research and is enthusiastic about applying her approach at scale to diverse applications. Her work incorporates many methods, ranging from the use of functional neuroimaging and virtual reality, to novel behavioral paradigms, to machine learning. Ultimately, she attempts to bridge the gap between social neuroscience and “real world” cognition and behavior. Such work permits the development of better treatment interventions for disorders of social and affective cognition, including anxiety and depression, as well as in individuals with developmental disorders like Autism Spectrum Disorder, a population Laura has studied for over a decade.