James H. Pratt Book time

Curriculum vitae / updated August 2026

James H. Pratt, Ph.D.

Cognitive psychologist, founder, and AI product leader. Seventeen years shipping AI at consumer and enterprise scale. 358 granted U.S. patents. Austin, Texas.

Summary

Cognitive psychologist, founder, and AI product leader with seventeen years building and shipping AI at consumer and enterprise scale. Currently CEO and co-founder of Fyve Health, building privacy-first ambient AI for elder caregiving. Previously Director of AI User Experience in AT&T's Chief Data Office, leading generative AI product design and architecting the enterprise AI transformation: governance, self-service platforms, and workforce strategy adopted across 20+ business units. Named inventor on 358 granted U.S. patents and a top-10 inventor company-wide.

Experience

Sept 2025 to present
Austin, TX

Co-founder and Chief Executive Officer

Fyve Health, Inc.

  • Founded and lead a privacy-first ambient AI company building Tessa, an edge-AI memory and caregiving companion for families with aging parents and for care communities.
  • Set product, technical, and go-to-market direction: the edge audio stack, a privacy-by-design architecture where processing happens on the device, and a consumer caregiving experience built on the principle that people are heard, not watched.
  • Took the product from concept to live alpha households and a growing waitlist, with paid plans launching in 2026.
Jan 2026 to present
Austin, TX

Co-founder

Fyve Labs

  • Co-founded the venture studio and R&D engine that incubated Fyve Health. Oversee shared audio and AI infrastructure and open-source repositories.
Apr 2006 to Dec 2025
Austin, TX

Director of AI User Experience

AT&T, Chief Data Office

AI products and user experience

  • Led the cross-functional UX team designing generative AI products and applications, data discovery engines, ETL, cloud-based analysis, privacy systems, and data visualization for internal and external knowledge workers.
  • Led the device user experience benchmark program covering 40+ mobile devices per year and $110M in annual cost avoidance. Ran the Iconic Device UX Program (original iPhone, Kindle) and authored the OEM usability guidelines used for consumer launches.
  • Delivered 18 platform capabilities for AT&T's AI-as-a-Service platform: data findability, ML engineering, model creation, fine-tuning, model hosting, and visualization.
  • Led user-needs discovery for telecom data privacy that informed privacy-management design.

Enterprise AI governance and transformation

  • Lead author of AT&T's Data Powered strategy series (three Chief Data Office white papers, 2016 to 2019) defining enterprise data strategy, a composite KPI methodology, and five cultural principles adopted across 20+ business units.
  • Authored the Automation Maturity Model (2017), a five-milestone framework defining the centralized-to-localized analytics progression and the Big Data Center of Excellence colocation strategy.
  • Designed the AI Transformation (AX) Center of Excellence governance structure spanning strategy, technology governance, PMO, responsible AI, and workforce transformation.
  • Drove the Analytics Translator program, embedding CDO-reporting translators in business units to bridge data science and operational decision-making.
  • Shaped Pinnacle, AT&T's self-service AI collaboration platform, and co-authored the four-pillar Data Analytics-as-a-Service strategy and the analytics user personas used for platform design.
Dec 2004 to Apr 2006
Austin, TX

Senior Designer

Sony Online Entertainment

  • Designed interfaces for massively multiplayer online games. Drove a 38% increase in subscription services through UX redesign of the player experience.
  • Built a cross-product prototyping and production pipeline for rapid software development and deployment.
Feb 2002 to Dec 2004
Washington, D.C.

Principal Member of Technical Staff

Lockheed Martin

  • Led user experience research and design for the U.S. Navy's next-generation destroyer program, including cognitive task analysis and knowledge elicitation for transformational systems.
  • Drove manning reduction through automation on the destroyer program: function allocation and levels of automation in complex decision systems.
  • Led participatory ergonomics design of the HSI Usability Lab and modeled human performance simulation defining manpower, personnel, and training requirements for joint-forces systems. TS clearance.
1998 to 1999

Human Factors Psychologist

IBM Usability Lab

  • Held during the UConn master's program.
Oct 1990 to Jun 1996

Director, Systems and Research

The Predictive Index

  • Directed research team for an international management consulting firm specializing in systems design, job design, teamwork, leadership styles, and selection.
  • Consulted international clients on issues including complex systems, business systems, cross-functional communication, turnover, and labor.
  • Designed, analyzed and reported 114 criterion-related validity studies and conducted 22 enterprise employee opinion surveys.
  • Designed and usability tested complex user interfaces of custom-built software and hardware devices.
  • Led construction of corporate Intranet to facilitate communication with satellite offices with Novell, Linux, Windows, and MacOS using SAMBA.
~2020 to 2022

Partner

wisely.io, LLC

  • Shipped two AI products: a trust-scoring system detecting deepfakes and scoring content trustworthiness, and an autism-spectrum wearable supporting child-parent communication. Both built and user-tested.
  • Funded via NSF SBIR applications. The venture wound down on capital constraints during COVID.

Education

2002

Ph.D., Industrial/Organizational Psychology

University of Connecticut

  • Human factors, judgment and decision making, data visualization, UX research and design.
  • Dissertation: "Development of cognitive styles and strategies in the visual discrimination of computer displayed graphics: Task characteristics, training and design." AAI3062095.
2000

M.A., Industrial/Organizational Psychology

University of Connecticut

  • Sleep, shiftwork, and psychometric measurement.
  • Thesis: "Assessing Sleep Quality in Commercial Maritime Crewmembers: Is the Sleep Disturbance Scale a Valid Measure?" Committee: Donald I. Tepas (major advisor), David A. Kenny, Marc Mandler. Full text.
1990

B.A., Psychology

Boston University

Peer-reviewed publications

9 · ORCID 0000-0002-7794-0629
  1. Howarth, H. D., Pratt, J. H., & Tepas, D. I. (1999). Do maritime crew members have sleep disturbances? International Journal of Occupational and Environmental Health, 5(2), 95-100.
  2. Tepas, D. I., Pratt, J. H., & Howarth, H. D. (2000). Inter-individual vs intra-individual differences: An important distinction for shiftwork research? In S. Hornberger, P. Knauth, G. Costa, & S. Folkard (Eds.), Shiftwork in the 21st Century (pp. 273-279). Frankfurt am Main: Peter Lang.
  3. Pratt, J. H., & Sohn, Y. W. (2001). Individual difference effects on training and transfer of visual processing strategy. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 45(13), 926-930.
  4. Kramer, E., Pratt, J. H., & Sohn, Y. W. (2002). Task context and individual difference effects on skill acquisition of visual processing strategy. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 46(12), 973-977.
  5. Kramer, E., Holzworth, R. J., Sohn, Y. W., Pratt, J. H., & Nelson, C. (2003). Serial presentation of computer graphics: Training effects and strategy development for analytic and holistic cognitive styles. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 47(9), 1058-1062.
  6. Pratt, E. K., & Pratt, J. H. (2004). Training and individual difference effects on the ability to visually discriminate serially presented graphics: Short term memory capacity in analytic and holistic cognitive styles. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 48(11), 1208-1212.
  7. Sullivan, M., Pratt, J., & Kortum, P. (2008). Practical issues in subjective video quality evaluation: human factors vs. psychophysical image quality evaluation. In Proceedings of the 1st International Conference on Designing Interactive User Experiences for TV and Video (UXTV '08) (pp. 1-4). ACM.
  8. Winters, J., Belz, S., & Pratt, J. (2008). HSI for consumer products: Does the shoe fit? INSIGHT, 11(2), 31-34.
  9. Bangor, A., Joseph, K., Sweeney-Dillon, M., Stettler, G., & Pratt, J. (2013). Using the SUS to help demonstrate usability's value to business goals. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 57(1), 202-205.

Full citations with DOIs

Patents, standards, recognition

//
358 granted U.S. patents
Named inventor. 226 active and in force. Top-10 inventor at AT&T company-wide. Verified against the USPTO record 2026-08-07. Search the full portfolio.
2011 to 2026
//
IEEE P7010 standards board
Member. Well-being Metrics for Autonomous and Intelligent Systems.
Member
//
SXSW Innovation Awards
Judge, multiple years.
Judge
//
SVP Excellence Award and Social Innovator Award
AT&T recognition for AI user-experience and data-strategy work.
Awards

Practice areas

Artificial intelligence

Generative AI applications · machine learning · LLMs · RAG · RLHF · AI Ops · prompt engineering · edge AI · voice and audio AI · ambient computing

AI user experience

HCI · UX research and design · human factors · usability benchmarking · design thinking · privacy-by-design

AI governance and transformation

Center of Excellence design · AI investment governance · responsible AI · workforce transformation · operating models · RACI and co-sponsorship frameworks

Leadership

Cross-functional team leadership · product strategy · patent strategy and invention · stakeholder communication

Certifications

SAFe Agilist (SA), Scaled Agile, Inc.
Oct 2020
Enterprise Design Thinking, IBM
Apr 2020

Selected projects

//
Tessa
Privacy-first edge-AI caregiving companion. Ambient listening built on a Fyve Labs audio stack with voice activity detection, WhisperX, and self-hosted transcription.
2025 to now
//
AT&T Community Labs
Co-creator. Open-innovation program pairing AT&T technical leaders with Austin's startup ecosystem, conceived from a clean slate.
2014 to now
//
AT&T AI-as-a-Service platform
Self-service platform spanning data findability, ML engineering, model creation, fine-tuning, hosting, and visualization.
2013 to now