ThinkData Podcast

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 nowWho actually controls customer dataWe 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 accessWe also dig into how Fivetran thinks about “data freedom” and what enterprises should be doing today to stay aheadIf 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 markWhy now is the moment for a new category of operations softwareWhat makes Doss a credible replacement, not just another layerHow AI is actually being applied inside ERP todayWhy traditional ERP implementations fail and how Doss is changing thatThe hardest product and GTM challenges they are solving right nowIf 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.Their approach is simpleAutomate the adminReduce the noiseGive doctors their time backWe go deep on:Where the healthcare system is really failing todayThe technical breakthroughs behind voice AI speaking directly to patientsWhat clinics are actually doing when they adopt AIWhy was Insight Health built by both clinicians and technologistsWho really buys AI in healthcare and what makes them say yesThis is not about replacing doctorsIt 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 strategistIf 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 worldIf 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 hypeThis 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:Where AI truly outperforms traditional approaches in drug developmentWhy computational models are finally earning real trust from scientistsWhat Inductive Bio’s Series A unlocked, and how they’re balancing speed vs depthThe role of industry partnerships and early adopters in shaping the platformWhere are the biggest AI opportunities in drug discovery over the next 3–5 yearsA 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:Why EHR add-ons and traditional automation fall shortHow Honey Health decided which customers to go after first, and what they got wrongWhat makes AI agents fundamentally different from workflow toolsWhere Honey’s real competitive advantage comes fromAnd the company Matt is actually trying to build over the next five yearsThis 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 CoveredWhy most AI apps struggle to monetise sustainablyThe origin story behind Koah LabsWhy traditional advertising breaks in chat-based productsHow to monetise AI without harming user experienceConvincing AI founders and advertisers to embrace new modelsThe future of advertising in GenAI over the next 2–3 yearsEthics, privacy, and trust in AI-powered ad systems

In this episode, we sit down with Ilya Levtov, Co-Founder and CEO of Craft, to unpack how AI is transforming supply-chain intelligence and risk management.We explore Ilya’s unconventional journey from Juilliard to Goldman Sachs to venture capital, and ultimately to founding Craft, as well as why traditional data tools fall short when it comes to real-time supplier risk.From government to healthcare, we dive into how leading organizations are using Craft to anticipate disruption, assess supplier exposure, and make faster, more confident decisions in an increasingly volatile world.

Today on the ThinkData Podcast, I’m joined by Arjun Vora, Co-Founder of Teambridge, a Series B startup redefining how frontline and hourly teams are managed.Arjun previously led design on the Uber for Drivers app, an experience that gave him first-hand insight into how broken tools, poor communication, and rigid systems impact people who don’t sit at desks all day.Teambridge is building a single operating system for frontline teams: combining scheduling, communication, workflows, and real-time insights into one intelligent platform. Their mission is simple but powerful, make managing people easier and make work better for the people doing it.In this episode, we explore why frontline workers have been overlooked by technology, how AI can genuinely improve shift-based work, and where the biggest opportunities lie over the next few years.🧠 Topics We CoverThe lightbulb moment behind Teambridge, and how Uber for Drivers inspired the ideaWhy most AI tools still ignore frontline and hourly workersHow Teambridge applies AI to scheduling, communication, and workflowsThe hardest challenges in scaling a two-sided workforce platformWhere AI will have the biggest impact on frontline work next

Today I’m joined by Dr Ewelina Kurtys, strategic advisor to FinalSpark, a company building computers powered by living human neurons.In simple terms, FinalSpark is exploring a new form of biocomputing that replaces silicon with real brain cells. This conversation dives into what that actually means, why it matters, and what it could unlock for the future of computation, energy efficiency, and AI.This is a genuinely mind-bending episode that sits at the intersection of neuroscience, computing, ethics, and deep tech innovation.Key Topics CoveredWhat FinalSpark is building and why biocomputing represents a radical shift from silicon-based systemsWhat drew Ewelina to FinalSpark’s mission and long-term visionEarly challenges in building a biocomputing platform and how close the company is to true product-market fitFeedback from early users and adopters working with neuron-based computingThe biggest technical and operational hurdles to scaling living neuron infrastructureHow FinalSpark differentiates itself in the emerging biocomputing spaceThe company’s long-term vision over the next 5 to 10 years and how it plans to fund and execute that roadmapWhy This Episode MattersBiocomputing is no longer science fiction. As traditional computing approaches physical and energy limits, FinalSpark is exploring an entirely new paradigm. This episode offers a rare, grounded look at what it really takes to turn breakthrough science into a commercial platform.

Today’s guest is Edmund Ben-Ami, CEO of NeuraLight — the company using AI and a simple webcam to radically improve how neurological diseases are measured.NeuraLight’s eye-tracking technology is already being deployed in clinical trials, where it has shown the ability to be up to 10× more sensitive than existing neurological assessment tools.In this conversation, we explore how AI-driven biomarkers are reshaping neurology, the realities of working with pharma and clinical trial teams, and what it takes to build and scale a scientifically rigorous healthtech company.This episode is a deep dive into where AI meets neuroscience, and why better data could change patient outcomes at scale.🎯 Key Topics CoveredThe original vision behind NeuraLight and how it has evolvedBalancing scientific rigour with commercial scale in healthtechHow pharma and clinical trial teams are using NeuraLight todayThe realities of deploying AI inside hospitals and trialsWhat “success” looks like in neurological biomarkers over the next 3–5 years

On this week’s ThinkData Podcast, I sat down with Chandini Jain, CEO and Co-Founder of Auquan.After seven years in finance, from derivatives trading to risk analytics at Deutsche Bank, Chandini made the bold decision to leave the world of corporate stability to build Auquan. Today, the company is helping financial institutions use AI to extract meaning, insight, and structure from the huge volumes of data they rely on.We talked through:The origin of Auquan and the moment the idea clickedWhy AI is so challenging to deploy in financeThe dynamics of co-founding a company with a siblingHow Auquan’s mission evolved as they learned more about customer pain pointsThe values guiding her leadership styleA sharp, honest discussion on building in one of the most demanding industries.

In this episode of the ThinkData Podcast, I sat down with Nell Meosky Luo, CEO and Co-Founder of Folia Health, a health-tracking platform redefining how chronic and rare conditions are monitored and understood.Folia was born from a deeply personal experience within Nell’s own family, where traditional healthcare systems failed to capture the nuance of day-to-day patient life. Today, Folia turns those everyday observations into structured, research-ready data that clinicians, researchers, and families can actually act on.We explore:• The founding story and how personal lived experience shaped Folia’s mission• What makes Folia different from traditional patient-tracking or EPRO tools• Why AI is only as powerful as the underlying data, and how Folia closes the real-world data gap• How the team has scaled headcount and capability following their Series A• How Mosaic is giving patients unprecedented control over research participation• The future of AI-driven, patient-led insightsThis conversation is a must-listen for anyone working in digital health, AI, chronic condition management, or patient-reported outcomes.

Today I’m joined by Henry O’Connell, CEO & Founder of Canary Speech, the company pioneering AI-powered vocal biomarkers to detect diseases like Alzheimer’s, Parkinson’s, and other neurological and behavioural conditions, all through a 20–30 second voice sample.In this episode, we explore:How Canary Speech was founded and where the idea came fromWhy holding 14 patents in vocal biomarker technology is such a competitive advantageHow Canary ensures clinical-grade safety, trust, and bias mitigation in AI healthcare toolsThe latest innovations in aggression detection, neurological disorders & behavioural healthHow global regulation (U.S. vs Europe vs Asia) shapes adoption speed in healthcare AIIf you’re interested in AI, healthcare, digital biomarkers, clinical innovation, or the future of diagnostics, this episode is a must-listen.