Today on the ThinkData Podcast, I am joined by Art Rivillis, CTO and Co-Founder of Augment, the company behind augie — an AI teammate built to automate complex workflows in logistics.

We explored how Augment is transforming one of the world’s most operationally challenging industries, what it takes to build reliable automation that humans actually trust, and the lessons Art has learned scaling a fast-growing AI startup from the ground up.

• The origin of Augment — what inspired the creation of an AI teammate for logistics.
• Finding product–market fit — the early signals that proved Augment was solving a real pain point.
• Building trust in automation — how to win over operators in a traditional, process-heavy industry.
• Scaling the team and tech — balancing rapid growth with product reliability.
• Short-term vs. long-term AI innovation — how Augment prioritizes both.
• Key customer moments — wins that validated the company’s vision
• The future of logistics — the AI breakthroughs that will reshape the industry over the next 3–5 years.

In this episode, Olga Beregovaya, Head of AI at Smartling, shares how the company is redefining translation with artificial intelligence, making global communication faster, more accurate, and more human.

We explore how Smartling builds trust in AI, what helped them achieve product-market fit, and how they maintain leadership in one of the most competitive spaces in tech.

• How Smartling combines human linguistic expertise with AI to improve translation quality
• Building customer trust through transparency, explainability, and real results
• The “aha” moments that proved Smartling’s AI-powered tools worked at scale
• Lessons in scaling trust across enterprise customers and global markets
• What it takes to stay differentiated amid a flood of new AI translation tools
• Olga’s perspective on the next frontier of language AI

Today on the ThinkData Podcast, I’m joined by Dr. Aaron Cohen, from Flatiron Health, where he’s using real-world data and AI to transform cancer research.

We explore how AI and data are driving breakthroughs in oncology — from uncovering insights in patient records to shaping fairer, safer, and more global cancer research.

🧠 AI in Cancer Research — How Flatiron is using AI to analyze patient records, uncover new patterns, and accelerate clinical understanding.

⚖️ Avoiding Bias — The steps taken to ensure AI models in oncology are fair, representative, and clinically trustworthy.

🌍 Global Data Collaboration — Why diverse, real-world datasets from hospitals worldwide are critical for improving cancer outcomes.

🔒 Balancing Innovation & Safety — How Flatiron protects patient privacy and data ethics while pushing the boundaries of AI innovation.

🚀 The Future of Flatiron — What’s next for AI-powered oncology research, and how global collaboration is reshaping cancer care.

If you’re interested in the intersection of AI, real-world data, and life sciences, this episode offers a rare inside look at how Flatiron Health is changing the landscape of cancer research, responsibly and at scale.

Today on the ThinkData Podcast, I’m joined by Lily, Co-Founder of Waterlily, the AI platform helping families plan and prepare for long-term care.

We talk about her journey from NASA to startup life, how she validated early demand for Waterlily, and what it’s really like building a company (and marriage) in parallel with her partner, Evan.

In this episode, I cover

• What Waterlily is and how the idea first came about
• How Lily validated demand early and identified signs of product-market fit
• How she cuts through the AI hype when speaking with investors and partners
• The story behind formalizing the co-founder dynamic with Evan
• How do they balance startup life and marriage, and what communication rituals help
• What Lily had to unlearn as a first-time founder once traction started building
• Her approach to hiring and what great talent looks like in caretech
• Why the mission behind long-term care planning matters more than ever

Today on the ThinkData Podcast, I’m joined by Chris Michalak, Executive Chairman at Personify Health, and former CEO of Virgin Pulse and Alight.

Chris has led some of the most recognized companies at the intersection of healthcare, benefits, and technology, and is now at the forefront of using AI and data to personalize care at scale.

We talk about:

💡 How Personify Health is reimagining employee wellbeing through data-driven personalization

🤖 The rise of digital “doppelgangers”, and how they’re improving engagement and outcomes

⚙️ What it takes to unite teams and culture after a major merger and rebrand

🚀 The balance between innovation and operational discipline at scale

🌍 The future of employer-led healthcare and Personify’s vision for what comes next

If you’re interested in how data is redefining healthtech, benefits, and workplace wellbeing, this one’s for you.

Today on the ThinkData Podcast, I’m joined by Patrick Leung, CTO of Faro Health.

We dive into Patrick’s path from Google Duplex to healthtech, and explore how Faro is rethinking clinical trials, making them faster, more affordable, and trusted by researchers, doctors, and regulators.

We cover:

• What drew Patrick into healthtech and the vision behind Faro
• How Google Duplex shaped his view of AI in healthcare
• Why clinical trials are slow and expensive, and how Faro is fixing that
• Building AI systems that regulators can actually trust
• What it means for Faro to act as a “design partner” for researchers
• How Faro has already saved companies over $100M in trial costs

If you care about AI, healthcare, and the future of clinical trials, this is a must-listen.

In this episode of the ThinkData Podcast, I sit down with Ro Wickramasinghe, Global Head of Business Development at Pi Health, the AI platform rethinking how clinical trials are run.

We explore:

🚀 How Pi Health is moving beyond traditional CRO models

🌍 Making trials more diverse and inclusive across regions

🤝 What they look for in the right sponsors and trial partners

📊 Why real-time, regulatory-grade data is critical for sponsors and regulators

🔮 The next big opportunities for Pi Health in clinical research

If you’re interested in where AI is reshaping life sciences, or how to build the future of clinical trials, this one’s for you.

Welcome to the ThinkData Podcast. I’m joined today by Ken Ko, the CTO and Co-Founder of Ferrum Health. Ferrum is reshaping how hospitals use AI, and in this episode, I dive into Ken’s journey, what sparked the idea, the challenges of getting AI into hospitals at scale, and why keeping patient data inside hospital walls is so important.

We also explore how Ferrum ensures its AI is safe and unbiased, and whether the future of healthcare AI should be shaped by stronger regulation or smarter hospital governance.

In this episode, we cover:

• What inspired Ken to start Ferrum Health
• The biggest hurdles to getting AI into hospitals at scale
• Why patient data should stay within hospital walls
• How Ferrum makes sure AI is accurate, unbiased, and safe
• The balance between regulation and hospital governance in healthcare AI

In this episode, I’m joined by Dr. Rishi Kerkar, Chief Medical Officer at Counsel Health, a physician-led, AI-first platform making care faster and more accessible through messaging and automation.

We dig into how AI can expand healthcare capacity, why training AI is a lot like training medical students, and the lessons learned from building a modern, physician-led practice.

Top Talking Points

• Counsel’s mission and the problems they’re solving in healthcare
• The original vision for AI-powered, messaging-based care
• How AI can shift capacity from scarcity to abundance
• Training AI like medical students: what that means in practice
• Lessons from the first year of building an AI-first, physician-led platform

On this episode of the ThinkData Podcast, I sit down with Thais Branco, Head of Strategy & Marketing at Exa, the AI-first search engine reshaping how humans and agents explore the web.

We dive into what sets Exa apart from competitors like Perplexity and Bing, the bold strategies behind its rapid growth, and Thais’ perspective on where AI agents are truly moving the needle.

Discussion Points

• How Exa positions itself differently from Perplexity and Bing.
• The GTM tactics that helped Exa grow sign-ups 8× in just five months.
• The story behind the balloon-box campaign and its impact.
• How Exa uses AI daily across marketing, content, and GTM execution.
• Insights from analyzing 500+ AI agent companies, top trends, and standout use cases.