ThinkData Podcast

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.

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 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.

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.

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.

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.Episode Outline / Talking PointsThe 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 visionThe future of logistics — the AI breakthroughs that will reshape the industry over the next 3–5 years.