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How Brighthive Is Making AI Work for Everyone

  • Writer: Suzanne EL-Moursi
    Suzanne EL-Moursi
  • Jun 3, 2025
  • 2 min read

Updated: Jun 30, 2025

Suzanne shares how Brighthive began with a mission to tackle the “grunt work” of data—fragmentation, access issues, and cleansing—and how it’s now evolved into a powerful agentic AI platform that gives every user a "data team in a box."


Podcast Interview on Mo’s Market Pulse: Host Sara Mokaram with Suzanne EL-Moursi, CEO of Brighthive

In this episode of Mo’s Market Pulse, host Sara Mokaram sits down with Suzanne EL-Moursi, co-founder and CEO of Brighthive, a data infrastructure and AI platform redefining how teams access, analyze, and act on data.


Suzanne shares how Brighthive began with a mission to tackle the “grunt work” of data—fragmentation, access issues, and cleansing—and how it’s now evolved into a powerful agentic AI platform that gives every user a "data team in a box."


From data governance to frontline AI adoption, Suzanne walks us through the cultural shift needed to make AI both ethical and empowering across an entire workforce—not just for data teams.


In this episode, we cover: 🚀


  • Why 97% of workers are data consumers—and how Brighthive is building for them 📊 

  • The seven AI agents that mimic a full analytics team (without the headcount) 🔐 

  • How Brighthive keeps data private, secure, and controlled within your cloud 💡 

  • The challenges of educating the market on agentic AI—and why it’s worth it 🌱 

  • Why Suzanne believes the future of work should be measured in delight If you’re building with AI, overwhelmed by your data, or working in a data-heavy industry like banking, education, or healthcare—this episode will leave you inspired.

Transcript:

Here are three high-impact moments from the interview.


  1. The "97% vs. 3%" Problem

    1. Timestamp: 3:37 - 3:55

    2. What she says: "So 97% of an organization are data consumers... They're the ones that are completely underserved and they rely on the 3% that can. And guess what? Those small teams... are struggling with the load."


  2. The "Doctor with AI" Analogy

    1. Timestamp: 20:23 - 20:28

    2. What she says: "A doctor with AI is going to displace a doctor without AI, not AI displacing doctors."


3. The Mission: Making Data "Delightful"

  1. Timestamp: 37:06 - 37:18

  2. What she says: "What gets me excited about the potential of Brighthive is that one day we will be measuring delight around working with data... Data makes people cringe. They just stay away from it."




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