Steve Moses

Steve Moses

I run Co-Intelligence Labs, an AI product and advisory firm. Before this, I built healthcare at Amazon, researched AI at Cambridge, and sold tech at Microsoft.

Get in touchMy background

Background

I take AI from research to product to go-to-market.

Outcomes

The vector sum of me

At Co-Intelligence Labs, we build AI products and advise leaders on AI strategy — from agentic AI supporting thousands of seniors, to engagements with C-suite executives at Fortune 50 companies, family offices, and startups. Occasionally I give talks — like at JPMorgan Chase, where I was rated the top speaker at their Innovation Week.

Before that, I grew Amazon Pharmacy's enterprise business from the ground up to multi-nine-figure annual revenue in three years. Earlier, I spent four years at Microsoft leading enterprise sales and partnerships for global publishers — The New York Times, News Corp, Time, Hearst, Bloomberg — delivering 200%+ quota attainment on a nine-figure portfolio, and helping turn a machine learning research paper into one of Microsoft's first ML products, Azure Personalizer.

In between Microsoft and Amazon, I stepped out of industry to train as a researcher at the University of Cambridge, studying personalized AI for behavioral health. Earlier still, at Accenture, I advised the Obama Administration on healthcare and Tanzania's Minister of Education on national education strategy.

I fell in love with the potential of AI somewhere in the middle of all that, and I've been at it ever since.

Organizations I've worked with

  • Amazon
  • Microsoft
  • JP Morgan Chase
  • University of Cambridge
  • Accenture
  • The New York Times
  • News Corp
  • Time
  • Hearst
  • Bloomberg
  • American Express
  • The Wall Street Journal
  • UCLA
  • WebMD
  • Prime Therapeutics
  • Blue Cross Blue Shield
  • Pioneer Square
  • 25 Madison
  • The Neuroleadership Institute
  • Biohaven

Research

AI that adapts to the person

My research has been focused on AI personalization — how a system can adapt to the way someone thinks, communicates, and decides. Primary applications have been behavioral health and remote care companions.

Papers — Co-Intelligence Labs

Academic positions

Visiting Researcher
University of Cambridge Behavioral Health Lab
Reviewer
The New England Journal of Medicine Catalyst (AI/ML applications)

Education

Cambridge
MRes · PhD candidate (on leave)
Duke University
MBA (Klopman Scholar)

AI measurement

  • The Grounding Series: six controlled studies of how books shift what language models say

    Does grounding change model answers, or is it incantation? Registered designs with measured noise floors and fictitious-book controls, judged blind across model families — thousands of generations on Claude and Grok.

    2026 · reports, code, and data

  • Which Model? Value-profiling five AI assistants with psychometric instruments

    A probe battery adapted from MFQ-2 and Schwartz values locates ChatGPT, Claude, Gemini, Grok, and Kimi on seven value dimensions with bootstrap CIs — plus a benchmark of how well each serves older adults.

    2026 · in progress

Behavioral health

  • Improving Weight Loss Adherence: A Machine Learning Approach to Personalized Chatbot Interventions

  • Using Qualitative Chatbot Messaging Content to Understand Anxiety and Hope Causation During Covid-19

  • Using Text Messaging Chatbots to Measure Well-being During Covid-19

  • Healthy Food Delivery Combined with SMS Text Follow-up Improves Healthy Eating