Transparency Matters: People need to trust AI systems, which starts with making them explainable.
Artificial Intelligence is transforming industries at a breakneck pace, and the entrepreneurs driving this innovation are at the forefront of this revolution. From groundbreaking applications to ethical considerations, these visionaries are shaping the future of AI. What does it take to innovate in such a rapidly evolving field, and how are these entrepreneurs using AI to solve real-world problems? As a part of this series, I had the pleasure of interviewing Jason Alan Snyder.
Jason Alan Snyder is a futurist, inventor, and entrepreneur redefining the boundaries of artificial intelligence, data orchestration, and biotechnology. As the co-founder of SuperTruth, he focuses on building technologies that empower industries to unlock the full value of their data while addressing critical ethical concerns. His work bridges human ingenuity with cutting-edge innovation, making him a sought-after leader in AI and beyond.
Thank you so much for joining us in this interview series. Before we dive in, our readers would love to learn a bit more about you. Can you tell us a bit about your childhood backstory and how you grew up?
I was born in Cleveland but went away to school in Connecticut and Switzerland when I was young. Those years shaped how I see the world — not just as a collection of places but as interconnected systems that influence each other. Sally Woodhall, the founder and Head of my school in Connecticut, taught me something I carry with me to this day: “Talk is cheap, and work is hard.” That philosophy has driven me to take action and build rather than theorize.
Can you share the most interesting story that happened to you since you began your career?
I spoke at the United Nations last year about AI, focusing on consent for data acquisition and transparency in AI models, elevating my responsibility to take action and educate others about the technologies that will most impact our society. My discussion wasn’t about celebrating technology but addressing its risks and responsibilities. That moment reinforced my belief that the future of AI must prioritize trust and accountability.
None of us can achieve success without some help along the way. Is there a particular person who you are grateful towards who helped get you to where you are? Can you share a story about that?
I still lean on Sally Woodhall’s mentorship. She didn’t just teach; she challenged. Her emphasis on action over words shaped how I approach everything, especially innovation because building something that works always speaks louder than theoretical ideas.
Can you please give us your favorite “Life Lesson Quote”? Can you share how that was relevant to you in your life?
“L’infinito è una sfera il cui centro è dappertutto e la circonferenza in nessun luogo.” (Infinity is a sphere whose center is everywhere and whose circumference is nowhere.) — Giordano Bruno
Giordano Bruno was a 16th-century philosopher, mathematician, and cosmologist who dared to challenge the limits of his time, advocating for ideas like the infinite universe and the plurality of worlds. His bold vision and willingness to defy conventional thinking remind me that innovation requires courage and a belief in possibilities beyond what we know. This idea of boundless potential drives my work, whether in AI or reshaping how industries think about data.
You are a successful business leader. Which three character traits do you think were most instrumental to your success? Can you please share a story or example for each?
- Curiosity: My drive to understand systems — from biology to technology — has always fueled my work. SuperTruth, for example, started because I wanted to know why so much data was going unused.
- Resilience: Innovation isn’t easy. I’ve faced countless setbacks, from funding challenges to technical roadblocks, but those moments taught me the value of persistence.
- Empathy: Building technology is about the people it impacts. I’ve focused SuperTruth on solving human problems, not just technical ones, like improving healthcare outcomes.
Ok super. Let’s now shift to the main part of our discussion. Share the story of what inspired you to start working with AI. Was there a particular problem or opportunity that motivated you?
For me, it was about potential — specifically, the unrealized potential of data. I kept seeing businesses struggling to use their data effectively. AI could bridge that gap only if the data feeding it were clean, orchestrated, and accessible. That’s where my co-founder and I discovered the idea for SuperTruth.
Describe a moment when AI achieved something you once thought impossible. What was the breakthrough, and how did it impact your approach going forward?
One of the most striking moments was when AI helped orchestrate unprecedented data harmonization for a healthcare client. By cleaning and structuring fragmented datasets, the system uncovered previously invisible correlations between treatment regimens and patient outcomes. This wasn’t just a technical achievement — it showed me that AI’s real power lies in transforming chaos into clarity, empowering humans to make better, faster decisions. It reinforced my belief that AI should amplify human intelligence, not just automate tasks.
Talk about a challenge you faced when working with AI. How did you overcome it, and what was the outcome?
Bias. It’s one of the biggest challenges in AI, and I’ve seen firsthand how even the most negligible bias in training data can snowball. We tackled it by building diverse datasets and ensuring human oversight. The result was a more accurate, fairer system.
Can you share an example of how your work with AI has had a meaningful impact (on others, on business results, etc)? What was the situation, and what difference did it make?
SuperTruth’s work with healthcare companies has had a measurable impact — improving patient outcomes through AI-driven diagnostics. Seeing those results reminded me why this work matters: it’s not just about innovation; it’s about changing lives.

Based on your experience and success, can you please share “Five Things You Need To Know To Help Shape The Future of AI”?
- Data First: AI is only as good as the data it’s trained on. If your data isn’t clean, your AI won’t work.
- Transparency Matters: People need to trust AI systems, which starts with making them explainable.
- Bias is the Enemy: Building diverse datasets and including humans in the loop is critical to fairness.
- Start Small: Solve a specific problem first, then scale. That’s how real breakthroughs happen.
- Ethics Aren’t Optional: If you’re not thinking about the ethical implications of your AI, you’re already behind.
When you think about the future of AI, what excites you the most, and how do you see your work contributing to that future?
I’m most excited about the intersection of AI and biology. With technologies like cryo-EM and quantum computing, we’re on the verge of solving some of humanity’s biggest challenges, like drug discovery. SuperTruth’s role is to lay the data foundation that makes those breakthroughs possible.
What advice would you give to other entrepreneurs who want to innovate in AI? Can you share a story from your experience that illustrates your advice?
Focus on solving real problems. Early on at SuperTruth, we tackled narrow data challenges for healthcare clients. Those wins created the credibility and momentum to scale into more significant opportunities, like AI-driven diagnostics.
Is there a person in the world, or in the US with whom you would like to have a private breakfast or lunch, and why? He or she might just see this, especially if we tag them. 🙂
If I could have lunch with anyone, it would be Donald Hoffman, the cognitive scientist behind The Case Against Reality. His work on how evolutionary shortcuts shape our perceptions of the world aligns closely with my fascination with intersubjectivity — a topic I write and speak about often. I’d love to discuss how AI might expand or challenge our shared perceptions of reality and what that means for creating technologies that bridge individual and collective understanding
How can our readers further follow your work online?
You can follow my work at supertruth.ai or connect with me on LinkedIn or X.
Thank you so much for joining us. This was very inspirational, and we wish you continued success in your important work.
Jason Alan Snyder Of SuperTruth On Pushing the Boundaries of AI was originally published in Authority Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.