MindMakers

How TwelveLabs Helps Enterprises Transform Video Content Into Competitive Edge

kyle@caspianstudios.com (Jae Lee, John Kim) — Tue, 16 Dec 2025 14:00:00 +0000

What will unlock real-world AI beyond chatbots and copilots? On this episode of MindMakers, host John Kim speaks with Jae Lee, CEO and Co-Founder of TwelveLabs, to explore how video is defining the next wave of artificial intelligence.

Drawing from his background as a cybersecurity leader in the Korean military and his work pioneering video understanding models, Jae shares how TwelveLabs is building infrastructure for what they call video superintelligence. You’ll hear how enterprises across industries such as media, sports, and defense are using TwelveLabs to index petabytes of video and unlock semantic search, highlight generation, and autonomous analysis.

Jae also shares why they had to build their own inference stack from scratch, how they think about long-term memory in multimodal systems, and what makes video the richest and most underutilized data source in AI today.

If you’re building AI infrastructure, leading digital transformation, or preparing your organization for agentic workflows, this episode offers an inside look at the technical and strategic challenges behind enterprise-scale video intelligence.

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Guest Bio

Jae Lee is the visionary Co-Founder and CEO of TwelveLabs, an industry-leading AI company transforming video search and understanding. Under his leadership, TwelveLabs has pioneered the development of advanced multimodal video foundation models that empower businesses and developers to extract deep, context-rich insights from video content with near-human intelligence.

Harnessing cutting-edge generative AI and machine learning technologies, TwelveLabs is redefining next-generation video processing, retrieval, and interactive question-answering capabilities. By seamlessly integrating visual, audio, and textual data, their models capture the full spectrum of meaning embedded in video content—setting a new standard for scalable, personalized and intelligent video experiences across media, security, sports analytics, and enterprise intelligence.

Jae also serves on the board of the Republic of Korea Foundation Model Association, collaborating with influential leaders from South Korea's largest conglomerates, including Samsung, SK, and LG, to shape the future of AI. He holds a BSc in Electrical Engineering and Computer Science from UC Berkeley.

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Guest Quote

“We need to really ask ourselves: what can humans uniquely do? I think this tech will probably help us understand who we are better. Because we need to know what we are uniquely good at, what we are uniquely capable of doing, to find something that can’t be displaced. It’s a deeper challenge for humanity.”

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Time Stamps

00:00 Episode Start

01:00 Jae's background and early career

04:45 The idea that sparked TwelveLabs

07:30 Why video models are so powerful

11:20 Real world applications of TwelveLabs

14:00 Building your own infrastructure

17:45 Unlocking productivity across industries

21:05 TwelveLabs’ workflow

23:30 Hiring top talent to scale your teams

28:25 Driving adoption in regulated sectors

34:00 How to stay ahead in the world of AI

36:00 Where to build the best tech

38:15 The future of TwelveLabs

41:00 Clearing up misconceptions

45:00 Jae's Human Prompt

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How the Founder of Coactive AI Is Bridging the Gap Between Human and Machine

kyle@caspianstudios.com (Cody Coleman, John Kim) — Tue, 2 Dec 2025 14:00:00 +0000

What if your most valuable data isn’t in text, but in images, video, and audio you can’t yet search? On this episode of MindMakers, host John Kim is joined by Cody Coleman, CEO and Co-Founder of Coactive AI, to explore how enterprises can finally make sense of their image, video, and audio content.

Coactive AI was born ahead of the AI revolution in 2021, and their platform can instantly search, organize, and analyze unstructured visual content to help businesses make faster, better decisions. While most of the AI world today is still focused on text, Cody and the team have their eyes set on the future.

Cody shares how his journey from foster care to Stanford and Silicon Valley shaped his belief in accessible, impactful technology. He and John dive into the untapped potential of unstructured data, why multimodal AI demands new tools, and how companies like Comcast, Fandom, and Thomson Reuters are turning visual content into searchable, actionable intelligence.

If you're working with rich media, rethinking AI infrastructure, or searching for signals in a sea of content, this episode reveals what it really takes to operationalize visual-first AI.

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Guest Bio

Cody Coleman is the Co-Founder and CEO of Coactive AI. He is also a Co-Creator of DAWNBench and MLPerf, a founding member of MLCommons, and his work spans developing standards and benchmarks for high-performance deep learning to data-centric AI. He holds a PhD in Computer Science from Stanford and MEng and BS degrees in Electrical Engineering and Computer Science from MIT.

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Guest Quote

“The pace of the field is only going to accelerate. We're only going to continue to see more improvements in foundation models and multimodal AI. That’s why we designed the system to be model agnostic, so people can ride that wave of progress instead of getting locked into any one approach. We want them to keep up, not fall behind.”

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Time Stamps

00:00 Episode Start

01:30 Cody's unconventional path to Silicon Valley

06:25 Blurring of digital & physical worlds

08:55 Early exposure to machine learning and AI

13:10 The inspiration that led to Coactive AI

16:40 Who benefits most from multimodal tech

20:50 Balancing your product for a wide range of technical abilities

26:25 Coactive AI's value prop

28:40 The potential when you move beyond text

34:35 Innovating ahead of the curve

41:00 Connecting storytelling to AI

45:15 Ensuring your AI projects bring ROI

50:20 Cody's Human Prompt

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How Augment Code is Redefining Developer Velocity with AI

kyle@caspianstudios.com (Guy Gur-Ari, John Kim) — Tue, 11 Nov 2025 14:00:00 +0000

What’s really driving the next leap in AI for software development? On this episode of MindMakers, host John Kim sits down with Guy Gur-Ari, the Co-Founder of Augment Code, to unpack why the future of enterprise engineering isn’t just AI-generated code, it’s agentic systems that understand context at scale.

Guy shares how Augment is helping large teams move beyond code completions into autonomous workflows, from feature builds to production incident response. You’ll hear why adoption isn’t just a tooling challenge but a behavioral shift, what most leaders misunderstand about “vibe coding,” and how the right context engine changes everything.

Whether you’re deploying AI across a legacy codebase or rethinking developer velocity with agents, this conversation offers sharp insight into the real opportunities and hidden obstacles enterprises face ahead.

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Guest Bio

Guy co-founded Augment Code after a stint at Google where he led a research team that focused on understanding and improving deep learning systems. He holds a Ph.D in theoretical physics from the Weizmann Institute of Science.

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Guest Quote

“As the cost of code generation goes to zero, do we still live in a world where you need one company to build an app for millions of users to use, or can it become a lot more customizable? Maybe I can now create my own apps, or maybe take some sort of template of an app, but do a lot of customization on it to suit exactly my needs.”

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Time Stamps

00:00 Episode start

01:05 Augment Code's Origins

02:20 The new age of AI coding assistants

05:05 How Augment Code stands out

09:25 Overcoming developer hesitations

14:30 Staying ahead in a rapidly evolving industry

19:20 Tackling security risks

28:05 What's next with agentic platforms

40:05 Largest misconception about vibe coding

43:25 Changing mindsets

45:40 Guy's Human Prompt

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Links

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Reltio’s CEO & Founder on Turning Data Chaos Into AI Advantage

kyle@caspianstudios.com (John Kim, Manish Sood) — Tue, 28 Oct 2025 13:00:00 +0000

What’s holding back widespread, successful AI adoption? Today on MindMakers, host John Kim is joined by the CEO, Founder and Chairman of Reltio, Manish Sood, to explore how the real unlock isn’t just better models, but better data.

Having founded Reltio in 2011, Manish shares how Reltio went from solving data sprawl to powering real-time Agentic AI at global scale. You’ll hear how companies like Liberty Mutual are using unified data to cut call response times from seconds to milliseconds and why speed must be priority number one in this ecosystem.

John and Manish also discuss what most enterprise buyers get wrong about AI, why customer collaboration is critical for finding your next use case, and what the future of SaaS looks like now that AI tools are being leveraged across the globe.

If you're building B2B AI, leading digital transformation, or trying to get real ROI from enterprise workflows, this episode is full of hard-won insights from the front lines.

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Guest Bio

Manish is the CEO, Founder and Chairman of Reltio, the first cloud-native, software-as-a-service (SaaS) data platform. An entrepreneur with a vision of the big-picture ways data can drive business and industry transformations, Manish founded Reltio in 2011 to help organizations accelerate the value of their data and deliver on business outcomes. Since its inception, Manish has led Reltio’s evolution from the concept stage to a high-growth company with more than $150 million in annual revenue.

Manish previously led product strategy and management for the Master Data Management (MDM) platform at Informatica and Siperian. During his career, Manish has architected some of the largest and most widely used data management solutions used by most Fortune 500 companies today. Manish holds a bachelor’s degree in mechanical engineering from Andhra University College of Engineering.

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Guest Quote

“Time is going to be the only moat. So who can move faster? If anything was described as a software problem, given enough time you could solve it. But now those timeframes are going to get compressed dramatically as compared to what we have seen before.” – Manish Sood

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Time Stamps

00:00 Episode start

01:05 Reltio's beginnings

04:55 The rise of Agentic AI

07:15 How Reltio connects data within the enterprise

10:00 Focusing on ROI amidst all the hype

12:15 Humans in the loop

15:40 Unexpected effects of AI adoption

19:30 Misconceptions Manish sees in the market

23:30 Overcoming fears and hurdles

28:20 Acting as an AI advisor

30:30 Is SaaS dead?

38:35 The future of UI with AI

41:35 Manish's thoughts on the future

44:30 Lessons from Reltio's scale

47:10 Manish's Human Prompt

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Moveworks’ Founder & CEO Bhavin Shah on Speed, Scale, & Surviving the Hype Cycle

kyle@caspianstudios.com (Bhavin Shah, John Kim) — Tue, 14 Oct 2025 13:00:00 +0000

With every new startup announcement containing “AI” somewhere in the headline, how do you build a differentiated product that stands the test of time? In this episode of MindMakers, host John Kim sits down with Bhavin Shah, CEO & Founder of Moveworks, for a thought provoking discussion on what it really takes to move beyond hype and into real business transformation.

Bhavin shares the evolution of Moveworks, from its origins as a narrow IT help desk solution to the full-fledged AI agentic platform it is today. He walks through the technical and strategic inflection points that unlocked growth and proved stickiness, from early statistical models to the game-changing impact generative AI. But what really sets this conversation apart is Bhavin’s view on the business discipline behind the tech.

Together, John and Bhavin unpack why AI doesn’t just accelerate workflows, it accelerates the market itself. In today’s environment, startups no longer have five years to figure things out as AI forces a faster reckoning. You either prove product-market fit early and build real distribution, or the window closes.

Whether you're building in B2B SaaS, navigating the AI hype cycle, or trying to future-proof your organization, this episode is packed with strategic insight on what it takes to build AI that sticks and scales.

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Guest Bio

Bhavin Shah has spent 25+ years taking companies from inception to scale. Prior to Moveworks, he was CEO of Refresh.io, which was acquired by LinkedIn in 2015. He has an MA in Education, Technology & Business from Stanford University and a BS in Computer Science from UCSD.

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Guest Quote

“People think founding a company is about being a visionary. On some level it is, but most of it's execution. You can't have the right to think big unless you can execute in a local fashion. That’s how you earn the right to scale.” – Bhavin Shah

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Time Stamps

00:00 Episode start

02:15 Moveworks’ evolution from IT help desk to AI agent platform

06:45 Solving messy problems at scale

10:00 From BERT to ChatGPT

13:00 Product-market fit metrics that matter

17:00 Scaling with ServiceNow

20:45 Weak vs. strong ROI in Enterprise AI

25:30 How to transform business workflows

30:20 AI’s opportunity in the public sector

34:40 What it takes to survive as a modern startup

38:00 The cost of inference and the new competitive landscape

42:00 Bhavin Shah’s Human Prompt

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Inside the Next Era of Healthcare AI with Ferrum Health’s Co-Founder Pelu Tran

kyle@caspianstudios.com (Pelu Tran, John Kim) — Tue, 30 Sep 2025 13:00:00 +0000

Hospitals are flooded with AI pilots, but very few ever become real, scalable solutions. In this episode of MindMakers, host John Kim sits down with Pelu Tran, Co-Founder $ CEO of Ferrum Health, to unpack why AI in healthcare so often fails to move beyond the demo phase, and what it really takes to deploy with impact.

With years of experience deploying clinical AI in some of the most complex, risk-sensitive environments, Pelu argues that the real challenge isn’t in the models themselves, it’s in the infrastructure. He walks through Ferrum’s approach to building with standardized onboarding, secure deployment, and unified oversight, enabling hospitals to adopt AI safely, at scale.

John and Pelu dig into the reasons most hospitals can only support a handful of AI tools per year despite demand from clinicians for hundreds, and why point solutions are rarely sustainable in highly regulated systems. They also explore how Ferrum protects patient data while still driving innovation, the growing problem of Shadow AI, and how new roles like Chief AI Officers are reshaping the org charts of modern healthcare systems.

This episode offers hard-earned lessons for anyone trying to deploy AI in highly-regulated environments where safety and trust are not optional. If you’re thinking about long-term infrastructure, compliance, or the future of strategic AI adoption, you won’t want to miss it.

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Guest Bio

Cofounder and CEO of Ferrum Health, Pelu Tran is a serial healthcare entrepreneur living in San Francisco. Pelu studied both medicine and engineering at Stanford University and was four months away from receiving his MD when he dropped out to start his first company.

As founder of Augmedix, now a publicly traded company, Pelu led the product and commercial teams, growing the company to over 1,000 employees in five countries and $20M in annual revenue from over half of the largest health systems in the US. After watching his uncle pass away from a preventable medical error, Pelu founded Ferrum Health, an enterprise AI deployment platform with the mission of improving patient outcomes by democratizing health systems’ access to the most innovative and impactful clinical AI technologies from around the world.

In his travels working with health systems around the world, you can find him learning about local cultures by trying the street food, listening to local musicians, and skiing, hiking, and diving any wilderness he can find.

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Guest Quote

“You’re never gonna be able to get people to stop adopting technologies that they want to use. So the reality of this is that the job of hospital AI administrators, IT teams, clinical leadership even, is to figure out which tools your doctors need to use to do a good job. And find a way to enable them to use them that is safe, compliant, and secure.” – Pelu Tran

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Time Stamps

00:00 Episode Start

00:45 The unique challenges and opportunities of AI in healthcare

05:25 Roadblocks to widespread AI adoption

07:25 Where regulation fits in to the equation

09:50 The reality that startups and hospitals face today

14:30 What Ferrum is doing differently

18:00 Solving the workforce shortage with AI

22:15 Often overlooked assumptions in regulated AI

24:35 Pelu's lessons for other AI innovators

26:45 Seizing this rare opportunity

29:35 Pelu's Human Prompt

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Links

Check out Sendbird

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What WRITER’s CSO Kevin Chung Has Learned from Hundreds of Enterprise AI Deployments

kyle@caspianstudios.com (Kevin Chung, John Kim) — Tue, 16 Sep 2025 13:00:00 +0000

Is it possible to drive real businesses transformation with AI amidst reports that 95% of enterprise projects have been failing? On the debut episode of MindMakers, host John Kim is joined by Kevin Chung, Chief Strategy Officer of WRITER, to unpack what it really takes to scale enterprise AI efforts successfully.

Kevin shares how WRITER evolved from a niche translation tool into the full-stack AI agent platform it is today. Together, he and John offer their own insights on the widespread MIT / NANDA report. You’ll hear why so many AI deployments stall in the “last mile” and what the most successful companies do differently. These are the organizations seeing real ROI, launching hundreds of AI agents, and reclaiming tens of thousands of hours in productivity.

Throughout the episode, Kevin and John explore how AI is shifting from tool to teammate, why treating AI like a new hire changes everything, and how WRITER builds trust through a hands-on approach with their partners.

Whether you're building AI tools, leading digital transformation, or just trying to make your org more efficient—this episode is packed with insight on getting real results from AI at scale.

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Guest Bio

Kevin is the Chief Strategy Officer of Writer, the leading generative AI platform for enterprises. He is an accomplished technology leader with over 20 years of experience in Silicon Valley. Kevin has led GTM and product teams through some of the world’s most disruptive digital transformations, including mobile payments (Google), cloud storage (Dropbox), visual collaboration (Miro), and now generative AI (Writer).

Kevin is a recipient of Singapore’s Overseas Networks & Expertise (ONE) Pass, a designation given to the top global talent in business, arts & culture, sports, academia and research. Kev currently splits his time living/working in San Francisco and Singapore.

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Guest Quote

“Number one, you gotta get your people empowered. Number two, you actually have to start promoting the people. And promoting in a sense of [not just] giving them the tools, but actually finding those champions who can be your AI advocates, right? The AI leaders in the organization that are gonna drive forward those initiatives.” – Kevin Chung

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Time Stamps

00:00 Episode Start

02:00 WRITER – From translation tool to AI platform

06:30 Unpacking the MIT Report on AI ROI

10:45 The importance of customization and last-mile AI

15:30 Building enterprise strategy: trade-offs and focus

20:20 Hands-on AI deployment

25:15 AI’s role in upskilling vs. replacing the workforce

30:40 Misconceptions about LLMs and enterprise readiness

34:00 Treating AI as a digital employee, not just a tool

38:30 Measuring real ROI

42:00 The journey from SF to Singapaore

44:05 Kevin Chung’s Human Prompt

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Links

Check out Sendbird

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Introducing MindMakers with John Kim

kyle@caspianstudios.com (John Kim) — Fri, 12 Sep 2025 21:27:08 +0000

AI is moving fast, but the real story isn't in the headlines, it's in the builders MindMakers is a show about the people turning bold ideas into working AI. The founders launching what's next. The investors shaping the ecosystem. The technologists changing how we live, work and connect. This is about what's happening behind the scenes. What's real, what's coming, and who's making it happen.

Hosted by John Kim, Co-Founder and CEO of Sendbird, MindMakers will feature the architects of artificial intelligence for mission-driven, unfiltered conversations about startups, infrastructure, deep tech, and the choices defining the next decade.

If you want to understand the future of AI, don't just watch from the sidelines. Listen in. This is my MindMakers.

Brought to you by Sendbird.

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