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Captivate Podcasts

Today’s guest is Anjan Kundavaram, Chief Product Officer at Fivetran, a company at the heart of the modern data stack.

In this episode, we unpack one of the biggest questions in AI right now

Who actually controls customer data

We explore what data ownership really means in the age of AI, how API restrictions are shaping what companies can and cannot build, and what happens to innovation if data becomes harder to access

We also dig into how Fivetran thinks about “data freedom” and what enterprises should be doing today to stay ahead

If you are building, investing, or operating in AI, this is one you do not want to miss

In this episode of ThinkData, I sit down with Wiley Jones, CEO and Co-Founder of Doss.

Doss is a Series B, hypergrowth startup rethinking ERP from the ground up. They are building a modern, AI-native operations stack for physical product companies, designed to replace spreadsheets, legacy systems, and slow, painful implementations.

We cover:

  • Where legacy ERP vendors like NetSuite and SAP have fundamentally missed the mark
  • Why now is the moment for a new category of operations software
  • What makes Doss a credible replacement, not just another layer
  • How AI is actually being applied inside ERP today
  • Why traditional ERP implementations fail and how Doss is changing that
  • The hardest product and GTM challenges they are solving right now

If you are building or scaling an operations-heavy business, this is a must-listen.

Healthcare is broken… but not in the way most people think.

Admin costs have passed $1 trillion annually, pulling doctors away from what actually matters, patient care.

In this episode, we sit down with Jaymal Sony, Co-Founder of Insight Health, a company using AI to transform independent healthcare.

  1. Their approach is simple
  2. Automate the admin
  3. Reduce the noise
  4. Give doctors their time back

We go deep on:

  1. Where the healthcare system is really failing today
  2. The technical breakthroughs behind voice AI speaking directly to patients
  3. What clinics are actually doing when they adopt AI
  4. Why was Insight Health built by both clinicians and technologists
  5. Who really buys AI in healthcare and what makes them say yes

This is not about replacing doctors

It is about making them more effective

Today’s guest is Dave Shuman, Chief Data Officer at Precisely.

Precisely is a global leader in data integrity, helping organisations trust, manage and maximise their data so they can power better decisions, analytics and AI at scale.

Despite the explosion of AI investment, many organisations are still struggling to turn AI ambition into measurable business outcomes, and in this episode, we explore why.

Dave shares insights from Precisely’s 2026 State of Data Integrity and AI Readiness report, and explains why so many companies believe AI is aligned to business goals, yet only a small percentage actually link those initiatives to real KPIs.

We discuss:

• Why most AI initiatives fail to deliver measurable results

• Where the disconnect between AI strategy and execution really begins

• What the 2026 Data Integrity report reveals about enterprise AI readiness

• How organisations can turn AI confidence into real operational capability

• Whether the Chief Data Officer should be a data custodian or a business strategist

If you are building data platforms, scaling AI initiatives, or leading data strategy inside an organisation, this conversation is packed with insights.

Today I’m joined by Jason Li, CTO at Laurel.

Jason previously served as CTO at Ironclad, where he spent nearly a decade building contracting software, and also held engineering leadership roles at SalesforceIQ and Grovo.

Laurel is a Series C AI-powered time intelligence platform for professional services firms, automatically capturing how professionals spend their time and transforming that data into actionable insights that improve efficiency and profitability.

In this episode, we discuss:

• Why most firms still struggle to measure real AI ROI

• The hidden inefficiencies in how professional services firms track time

• What it actually takes to build reliable AI systems inside complex legacy environments

• The biggest mistakes organisations make when adopting AI tools

• How engineering teams are evolving in an AI-first world

If you’re building, buying, or deploying AI inside large organisations, this episode is packed with practical insight.

In this episode of ThinkData, Loren Larsen, CEO and Co-Founder of Videra Health, joins us to explore how AI is being applied in behavioral health beyond chatbots.

Videra’s platform analyzes video, audio, and text to help clinicians detect and monitor mental health risk between visits, enabling earlier intervention and better outcomes without disrupting workflows.

We discuss ROI, responsible growth, the future of AI in healthcare, and what most people misunderstand about behavioral health innovation.

Today’s guest is Sandeep Chinchali, Chief Scientist at Poseidon, a company building the data layer AI actually needs to improve.

While most of the industry obsesses over bigger models and more compute, Poseidon is tackling the real bottleneck: access to rare, high-quality, IP-safe data that can’t be scraped, copied, or faked.

With billions being poured into data centres and revenue growth starting to slow across parts of the AI ecosystem, are we heading for an industry shake-out?

In this episode, we unpack:

• Why more leaders believe the future of AI won’t live solely in hyperscale data centres

• Whether the cloud-only AI model is starting to fracture

• What “edge AI” actually means for real businesses

• Why data quality and trust now matter more than raw volume

• Why scraped internet data is no longer enough

• What executives should truly be paying attention to over the next 3–5 years

• What will separate AI winners from the hype

This is a must-listen for founders, investors, operators, and anyone trying to understand where AI is really heading next.

AI is everywhere in biotech, but where does it genuinely create impact?

In this episode of the ThinkData Podcast, I sat down with Josh Haimson, Co-Founder and CEO of Inductive Bio, to explore how AI-driven virtual chemistry labs are transforming drug discovery.

We cover:

  1. Where AI truly outperforms traditional approaches in drug development
  2. Why computational models are finally earning real trust from scientists
  3. What Inductive Bio’s Series A unlocked, and how they’re balancing speed vs depth
  4. The role of industry partnerships and early adopters in shaping the platform
  5. Where are the biggest AI opportunities in drug discovery over the next 3–5 years

A grounded, technical, and refreshingly honest conversation about the future of AI-powered therapeutics.

Healthcare doesn’t struggle because of a lack of data or innovation.

It struggles because of admin.

In this episode of the ThinkData Podcast, I sit down with Matt Faustmen, Co-Founder and CEO of Honey Health, to explore why back-office operations are the real constraint in modern healthcare, and how autonomous AI agents can finally unblock them.

We talk about:

  1. Why EHR add-ons and traditional automation fall short
  2. How Honey Health decided which customers to go after first, and what they got wrong
  3. What makes AI agents fundamentally different from workflow tools
  4. Where Honey’s real competitive advantage comes from
  5. And the company Matt is actually trying to build over the next five years

This is a grounded, operator-level conversation about building AI for real systems, real constraints, and real outcomes, not demos.

If you’re building in healthtech, AI infrastructure, or regulated industries, this one’s worth your time.

AI apps are exploding, but monetisation remains one of the biggest unanswered questions.

In this episode of the ThinkData Podcast, Mike Choi, Co-Founder of Koah Labs, shares how AI products can generate revenue without destroying user experience or trust.

We explore why classic ad models fail in chat-based interfaces, what it takes to convince AI builders and advertisers to adopt new monetisation approaches, and how advertising inside GenAI products will evolve over the next few years.

If you’re building, funding, or scaling an AI product, this episode is a must-listen.

🧠 Topics Covered

  1. Why most AI apps struggle to monetise sustainably
  2. The origin story behind Koah Labs
  3. Why traditional advertising breaks in chat-based products
  4. How to monetise AI without harming user experience
  5. Convincing AI founders and advertisers to embrace new models
  6. The future of advertising in GenAI over the next 2–3 years
  7. Ethics, privacy, and trust in AI-powered ad systems
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