ThinkData Podcast

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 Cover
The lightbulb moment behind Teambridge, and how Uber for Drivers inspired the idea
Why most AI tools still ignore frontline and hourly workers
How Teambridge applies AI to scheduling, communication, and workflows
The hardest challenges in scaling a two-sided workforce platform
Where 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 Covered
What FinalSpark is building and why biocomputing represents a radical shift from silicon-based systems
What drew Ewelina to FinalSpark’s mission and long-term vision
Early challenges in building a biocomputing platform and how close the company is to true product-market fit
Feedback from early users and adopters working with neuron-based computing
The biggest technical and operational hurdles to scaling living neuron infrastructure
How FinalSpark differentiates itself in the emerging biocomputing space
The company’s long-term vision over the next 5 to 10 years and how it plans to fund and execute that roadmap

Why This Episode Matters
Biocomputing 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 Covered
The original vision behind NeuraLight and how it has evolved
Balancing scientific rigour with commercial scale in healthtech
How pharma and clinical trial teams are using NeuraLight today
The realities of deploying AI inside hospitals and trials
What “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 clicked
Why AI is so challenging to deploy in finance
The dynamics of co-founding a company with a sibling
How Auquan’s mission evolved as they learned more about customer pain points
The values guiding her leadership style

A sharp, honest discussion on building in one of the most demanding industries.