Panos Karagiannis

About

My journey with AI began at UCLA, where I studied mathematics & computer science and discovered my calling in AI as the perfect intersection of software skills, algorithms, calculus, linear algebra and statistics. This path deepened during my graduate studies at UC Santa Cruz.

At IBM Watson, I worked at the intersection of NLP and engineering, helping to productize complex neural architectures and earning a couple of U.S. patents along the way. My time on the Watson Assistant team taught me that great AI isn't enough: scalable, well-engineered systems are sometimes 85% of the work required to turn cutting-edge research into real-world products.

A few years ago, I co-founded Moveo.AI. Since then, we've grown from 4 founders to a global team of 40+ across 3 continents. We've raised millions in venture funding and built state of the art Agents as a Service platform that serves millions of users in 20+ countries. Today, we support enterprise clients across BFSI, telecom, and government. And we're just getting started!

As a founder, I'm driven by teams that build boldly, execute precisely, and take pride in their work. For me, success is measured in real-world outcomes: customer impact, retention, and revenue (in that order).

Some things I believe

1. Best tech does not always win
2. Skill and passion matter, but the true determinant of success is simple: don't quit (even when the abyss is staring back at you).
3. The companies that win are the ones that iterate the fastest
4. Great companies are built on great people
5. Dogs at work are not culture
6. Transformers aren't the path to AGI, but should be treated as a useful tool. Would you rather build a house with a bulldozer or with your bare hands?

Selected Work & Press

• 🎤 Speaking Engagements
  • • Google Cloud Day, Athens (Nov 2024) - Keynote panelist on Generative AI in enterprise CX, with Thomas Cliett (Google Cloud). LinkedIn Post
  • • Mastercard Fintech Forum, Berlin (Oct 2024) - Proactive AI agents in digital banking. LinkedIn Post
• 🎙️ Podcasts
  • • Is AI enough? How businesses can stand out
• 📚 Academic Work
  • • A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation

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