From Tiny Romanian Startup to Global AI Automation Leader | Daniel Dines, CEO of UIPath

In this episode, we sit down with Eric Glyman, co-founder of Ramp, the company that revolutionized finance management to become a powerhouse valued at $7.6 billion. Eric shares the tradition of counting the days since Ramp's founding and how it fosters a sense of urgency and productivity, explains the use of AI to automate expense management and fraud detection, and gives an inside look at Ramp's cutting-edge AI products, including the Ramp Intelligence Suite and experimental agentic AI use cases. Ramp Website - https://www.ramp.com Twitter - https://x.com/tryramp Eric Glyman LinkedIn - https://www.linkedin.com/in/eglyman Twitter - https://x.com/eglyman FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro (01:49) What is Ramp? (04:25) How did the company start? (09:18) Technical aspects of Ramp infrastructure (12:17) "We can tell you if you're paying too much" (14:20) Data privacy at Ramp (16:13) Data infrastructure tools used at Ramp (17:58) Traditional AI use cases (24:51) GenAI use cases (27:47) AI/human interaction (33:32) Ramp Intelligence Suite (39:38) How Ramp keeps high product release and product velocity (42:37) How did Ramp get to product-market fit? (45:54) Eric's perspective on building a company in NYC

In this episode, we reconnect with Sharon Zhou, co-founder and CEO of Lamini, to dive deep into the ever-evolving world of enterprise AI. We discuss how the AI hype is evolving and what enterprises are doing to stay ahead, break down the different players in the Inference market, explore how Memory Tuning is reducing hallucinations in AI models, the role of agents in enterprise AI, and the challenges of making them real-time and reliable. Lamini Website - https://www.lamini.ai Twitter - https://x.com/laminiai Sharon Zhou LinkedIn - https://www.linkedin.com/in/zhousharon Twitter - https://x.com/realsharonzhou FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro (02:18) The state of the AI market in July, 2024 (10:51) What is Lamini? (11:43) What is Inference? (15:36) GPU shortage in the enterprise (18:06) AMD vs Nvidia (22:10) What is Lamini's final product? (25:30) What is Memory Tuning? (29:01) What is LoRA? (32:39) More on Memory Tuning (35:51) Sharon's perspective on AI agents (40:01) What is next for Lamini? (41:54) Reasoning vs pure compute in AI

In this episode, we sit down with Jeremy Kahn, the AI Editor at Fortune Magazine, who has recently published a book called "Mastering AI: A Survival Guide to Our Superpowered Future". Jeremy shares his unique insights on AI's potential risks and transformative benefits, including the importance of UI design in maximizing AI's utility, the potential for AI to create a "winner takes most" economy, and the need for thoughtful AI regulation to mitigate risks without stifling innovation. Book: https://www.amazon.com/Mastering-AI-Survival-Superpowered-Future/dp/1668053322 Jeremy Kahn LinkedIn - https://www.linkedin.com/in/jeremy-kahn-01100462 Twitter - https://x.com/jeremyakahn FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro (01:43) Why the UI design is important for AI? (04:32) The book is called "Mastering AI". Why? (12:03) Automation Bias vs Automation Surprise (20:16) The role of AI in the future of science and art (25:32) "I think mass unemployment is a red herring, but we might see a lot of disruption" (34:19) Jeremy's perspective on Agentic AI (36:29) Does AI development need to be regulated? (38:56) Should we worry about the AGI and Superintelligence? (42:18) Who provided the most thoughtful conversation for the book? (43:57) "I didn't use AI for the book at all" (46:20) Jeremy's work at Fortune

In this episode, we sit down with Azeem Azhar, an expert on AI and technologies, whose weekly newsletter "The Exponential View" (www.exponentialview.co) is read by nearly two hundred thousand people from around the world. We delve into the nuances of AI adoption, discussing how LLM's are reshaping industries and what this means for corporate leaders, the dynamics between the U.S., China, and Europe in the AI race, and the concept of sovereign AI. Azeem Azhar Website - https://www.exponentialview.co Twitter - https://x.com/azeem FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro (02:05) What does the "Exponential" really mean? (05:43) "Moore's law has not died" (11:52) Claude is the Macintosh of AI. What does it mean? (25:57) How does AI affect the enterprise? (34:06) Asia is more optimistic about AI than the West. Why? (38:42) Azeem's perspective on the sovereign AI (45:19) AI in the modern warfare (48:47) What is the Exponential asymmetry? (51:59) Energy transition and the influence of AI on it (55:21) Big Oil vs Chinese Solar: who's going to win? (59:18) AI opens new possibilities for everyone. How?

In this episode, we sat down with Aaron Katz, the CEO of ClickHouse, a company that went from an open-source analytical database into a highly successful cloud service, utilized by Spotify, Netflix, Disney, and many more. Aaron Katz provides intriguing insights into the challenges of transitioning an open-source project into a thriving business, ClickHouse's go-to-market strategy, the role of technical support in pre-sales, and the strategic decision to avoid traditional SDR and CSM roles. CLICKHOUSE Website - https://clickhouse.com/ Twitter - https://x.com/clickhousedb Aaron Katz LinkedIn - https://www.linkedin.com/in/aaron-katz-5762094 Twitter - https://x.com/ceo_clickhouse FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro(00:56) What is ClickHouse?(04:28) What are the use cases for ClickHouse?(06:17) Reducing the latency: why the world shifts to real-time(09:05) How did ClickHouse evolve from an open-source to a cloud product?(15:01) "Open source is the future of software"(17:27) Self-hosted deployments(18:45) ClickHouse's roadmap(20:51) Is there a real-time data stack?(22:25) ClickHouse partners in data ingestion(24:32) Who are ClickHouse's main competitors?(27:35) ClickHouse's sales process(36:44) Is partnerships a good go-to-market strategy?(37:44) When is the right time for startups to start partnering?(38:22) Aaron's story of becoming the CEO(43:50) Team and culture when working on two continents(46:15) What's next?

In this episode, we sit down with Daniel Dines, the co-founder and CEO of UiPath. From a small rented apartment in Bucharest to $1.3 billion in revenue, UiPath's story is one of perseverance, innovation, and strategic pivots. Daniel shares his insights on the pivotal moments that shaped UiPath, how to build a robust go-to-market strategy, the role of partnerships, and the lessons learned in hiring and managing a sales organization. UIPath Website - https://www.uipath.com/ Twitter - https://x.com/UiPath Daniel Dines LinkedIn - https://www.linkedin.com/in/danieldines Twitter - https://x.com/danieldines FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro (01:38) UiPath was founded in an apartment in Bucharest. How did it all start? (08:05) Building a global product (11:26) The growth stage. (18:50) "We were AI from the beginning" (20:10) Raising the first round of funding. (23:48) Working with the board. (25:11) How did UiPath expand from the Romanian to the global market? (35:00) Process Mining, Task Mining, and Communications Mining. (41:41) The Automation Layer explained. (45:28) The use cases for using AI in UiPath's automations (56:22) UiPath's strategy for Gen AI adoption. (58:27) The team. (59:42) How important are partnerships for enterprise (01:02:48) Recruiting the best salespeople in the industry (01:07:10) Scaling from a software engineer to the CEO of a large company.

In this episode, we sit down with Howie Liu, co-founder and CEO of Airtable, to explore the incredible journey of Airtable from its early days to becoming a powerhouse in the enterprise software space. Howie provides a candid look at the challenges and learnings from transitioning Airtable from a PLG product to an enterprise platform, how companies are transforming their marketing operations with AI, and the transformative potential of AI in automating workflows and enhancing business processes. AIRTABLE Website - https://www.airtable.com/ Twitter - https://x.com/airtable Howie Liu LinkedIn - https://www.linkedin.com/in/howieliu/ Twitter - https://x.com/howietl FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro(02:40) What is Airtable in 2024?(05:35) How does Airtable apply AI to its products?(11:56) What are the AI use cases in Airtable?(18:35) The tech behind Airtable's AI capabilities(22:22) Is Airtable going to become an AI-first company?(25:15) Will AI kill programming as we know it?(29:24) How do big enterprises think about AI?(34:46) How did Airtable go from PLG to a large enterprise product?(41:00) AI Categories(47:47) "We definitely had our hiccups"(51:20) Was PLG a ZIRP-era phenomenon?(56:29) Howie's journey as a CEO

In this episode, we sat down with Tomasz Tunguz (https://twitter.com/ttunguz), the founder of Theory Ventures and a leading voice in the tech investment space. We discussed the transformative potential of Ethereum as a database company, the importance of data security in a decentralized world, and the evolving landscape of AI technologies from foundational models to AI-native applications. 📰 Article "What If LLMs Change the Business Model of the Internet?": https://tomtunguz.com/what-if-llms-change-the-business-model-of-the-internet/ ✍️ Tomasz' blog: https://tomtunguz.com Theory Ventures Website - https://theory.ventures/ Twitter - https://twitter.com/Theoryvc Tomasz Tunguz LinkedIn - https://www.linkedin.com/in/tomasztunguz Twitter - https://twitter.com/ttunguz Blog - https://tomtunguz.com/ FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck LISTEN ON: YouTube - https://www.youtube.com/@DataDrivenNYC/videos Apple - https://podcasts.apple.com/us/podcast/the-mad-podcast-with-matt-turck/id1686238724 (00:00) Intro(02:46) Tomasz has continued to invest in blockchain through the crypto winter. Why?(06:59) Security and privacy as the main blockchain's use case.(09:18) Blockchain and AI: how do they work together?(11:02) Why does Theory Ventures not invest in AI hardware?(12:28) Why do big companies invest in cloud infrastructure?(15:35) An investor view on the foundation models.(18:36) Is Gen AI going to replace traditional AI?(20:57) Does the Theory Ventures invest in AI tooling companies?(22:53) Is investing in Cloud companies better than investing in AI-powered applications?(26:40) Copilot AI vs full-execution AI.(28:38) A case for specialized LLMs.(29:54) Gross margins in Gen AI: is it profitable?(32:34) Modern Data Stack: is it still a thing to invest in?(37:02) Microsoft Fabric and its impact on the market.(38:50) Tomasz's thought on Motherduck and DuckDB.(40:37) Where do BI tools fit in the Modern Data Stack?(44:32) Why has the democratization of BI never happened?(45:52) How do acquisitions happen? Can you engineer them?(49:02) Key ingredients to build data infrastructure business.(50:40) Tomasz is a founder now! How does it feel?(53:15) Talking numbers: Theory Ventures' financial model.

In this episode, we sat down with Renen Hallak, founder and CEO of VAST Data, a $9 billion company that's shaking the foundations of data storage, databases and compute functionality. Through the conversation, we explore VAST's perspective on AI infrastructure, the process of selling over a billion dollars worth of software, and the technical innovations behind disaggregated, shared-everything architecture. VAST Data Website - https://www.vastdata.com/ Twitter - https://twitter.com/VAST_Data Renen Hallak LinkedIn - https://www.linkedin.com/in/renenh/ FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro(01:40) What is VAST Data?(02:56) The company was started in stealth mode. Why?(03:42) Did VAST get lucky with the gen AI explosion?(04:27) VAST Data founding story(05:57) How does the company work across 2 continents?(06:48) What made you think that you can disrupt the market?(09:23) VAST architecture explained(23:08) Moving from data storage to databases(25:01) What was the hardest thing to build?(26:32) How does VAST work with open source(26:54) A glimpse into the future products(28:22) The world without VAST: how it would've looked like(29:45) Who were VAST's first customers?(30:56) How do hedge funds use VAST?(32:08) VAST's sales strategy(34:04) Renen's transition from technical founder to CEO(36:01) How do you hire great people?(37:07) What was the hardest thing on your journey as a CEO?(38:43) $9B CEO daily routine(40:17) Difference between offices in NY and Israel(42:07) Renen's learnings from sales

🔗 2024 MAD Landscape: https://mad.firstmark.com 📃 PDF: https://mattturck.com/landscape/mad2024.pdf 📃 Blog post: https://mattturck.com/mad2024/ In this episode, we delve into the 2024 machine learning, AI, and data scene (MAD), examining an evergrowing array of over 2011 logos, the meteoric rise of open-source AI, and the anticipated advancements in AI agents and edge AI technology. Gain valuable perspectives on the saturated AI market, the dilemmas and prospects open source AI presents, and the continuous evolution of the modern data infrastructure. This episode covers a distinctive mix of analysis, industry perspectives, and foresight into the technological future. FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck Aman Kabeer (Investor) LinkedIn - https://www.linkedin.com/in/aman-kabeer/ Twitter - https://twitter.com/AmanKabeer11 (00:00) Intro (02:06) What is MAD? (07:58) Open sourcing AI (12:29) How open source affects commercial AI? (21:02) Is the AI hype cycle over? (26:39) Was 2023 a head fake for Gen AI? What about 2024? (28:05) VC's perspective on AI (30:54) Emerging of AI stack (37:36) What are the areas VCs are excited about? (41:04) Will full-stack AI platforms kill SaaS? (42:42) Modern Data Stack: is it dead or alive? (47:17) What's next for the MAD Landscape?