Harvey COO: The $11B Legal AI Empire | Apex Series

Intercom President: From New AI Roadmap to $3.6B Acquisition by Salesforce | Apex Series

Watch our exclusive interview with Archana Agrawal [https://www.linkedin.com/preload/?_bprMode=vanilla#], President at Intercom [https://www.linkedin.com/preload/?_bprMode=vanilla#] (Fin [https://www.linkedin.com/preload/?_bprMode=vanilla#]). Intercom [https://www.linkedin.com/preload/?_bprMode=vanilla#] has transformed its whole sales motion, shifting from selling seats to selling #outcomes. We started by discussing how this change has reshaped the company's #GTM and customer success strategies, and why understanding #customers has become more critical than ever. From there, we explored how #brand marketing is evolving now that AI interfaces are increasingly becoming the first touchpoint with customers-and the notion thereof of humans in the loop. We also touched why Intercom [https://www.linkedin.com/preload/?_bprMode=vanilla#] is doubling down on a #SingleAgent framework instead of deploying multiple specialized AI agents. Other interesting topics we covered include: - The distinction between Product, Sales, and Support in the AI era - Intercom's recent launches of Monitors and Custom Scorecards And guess Archana [https://www.linkedin.com/preload/?_bprMode=vanilla#]'s favorite #TV series? 🏞️💵 🛶 Check our new website: https://www.boardroomclub.net Register for our newsletter https://boardroomclub.substack.com Interviewer: Yossi Garmazi#ai #tech #agent #GTM #Sales  ⁨@salesforce⁩  [https://studio.youtube.com/channel/UCUpquzY878NEaZm5bc7m2sQ] Chapters:00:00 Intercom New GTM00:32 Intro01:04 Outcome based pricing03:41 How was the GTM transition 04:20 Retention mode06:20 Customer success 08:45 Brand Market11:18 Agents vs Humans 12:50 Product sales and support 15:02 Product Road map16:55 Why this path (Fin franchise)18:59 Ai reshape the human in role20:45 How do ship the product 23:30 Competitive mode come from?26:14 Customer use case27:41 Advise for builders29:51 AI Native Company31:05 Mentors 32:01 Grab Coffee33:02 Alternative career33:52 Favorite TV Series

Texas Instruments CTO: Our Innovation is Everywhere | Apex Series

Watch our exclusive interview with Dr. Ahmad Bahai [https://www.linkedin.com/preload/?_bprMode=vanilla#], CTO at at Texas Instruments [https://www.linkedin.com/preload/?_bprMode=vanilla#] (NASDAQ: TXN). We could find Texas Instruments [https://www.linkedin.com/preload/?_bprMode=vanilla#] innovation everywhere, from #datacenters chips, to embedded processors and even calculators. We started by discussing #KilbyLabs and how they decide what to develop, including how they evaluate whether an idea has enough moat to justify the required R&D investment and time. From there, we explored several of their innovations, including the new bulk acoustic wave #BAW clock technology, cutting-edge isolation solutions, and radar technologies. We then discussed their recent breakthrough in creating the world’s smallest microcontroller #MCU and how this development could reshape the semiconductor space. But of course, as a formidable #Chess player, we compared chess strategy to the semi industry - highlighting both similarities and differences, especially in a field where time-to-market can span up to five years. And guess who Dr. Ahmad [https://www.linkedin.com/preload/?_bprMode=vanilla#]’s favorite #book is about? 💡⚡🔬 Check our new website: https://www.boardroomclub.net Register for our newsletter https://boardroomclub.substack.com Interviewer: Yossi Garmazi [https://www.linkedin.com/preload/?_bprMode=vanilla#] #ai #tech #agent #chips #semiconductor Chapters: 00:00 Researchers & Innovation 00:34 Intro 01:06 From Startup to Texas Instruments (TI) 04:43 Academia Vs Industry 07:22 Kilby Labs: Deciding What to Develop 11:01 Kilby Labs: New Clock & Isolation & Radar 16:05 The Worlds Smallest MCU 20:00 AI: Keeping the Innovative Spark 23:50 Motivating Engineers 25:36 Silicon Labs Acquisition 28:04 Playing Chess & Business 30:35 Holdings 40 Patents 31:18 Mentorship 33:00 Coffee Question 33:57 Hobbies 34:45 Favorite Movie

Open Source Models Could Outperform Frontier Models | Fireworks AI Co-Founder | Apex Series

Watch our exclusive interview with Benny Yufei Chen [https://www.linkedin.com/preload/?_bprMode=vanilla#], Co-Founder of Fireworks AI [https://www.linkedin.com/preload/?_bprMode=vanilla#]. Fireworks raised ~$327M, most recently at a $4B valuation to change the AI space, enabling the enterprises to own the model themselves. We started by exploring Fireworks AI [https://www.linkedin.com/preload/?_bprMode=vanilla#]'s mission of enabling companies to access, fine-tune, and deploy #AI models through a simple platform - and the significant #cost savings potential. We then shifted to the #developer perspective, exploring how teams should choose a base model for Reinforcement Fine-Tuning (#RFT) and the impact considering the customization thereafter. As many organizations still rely on closed-source models, we dove into the advantages of #OpenSource alternatives and the key tradeoffs involved. We discussed the launch of #FireFunctionV2 and how it has changed the game for function-calling models and AI applications. Other interesting topics we covered: -  Can open-source models outperform frontier models? - The tradeoff between cost, latency, and model quality and does it depend on the vertical? - Advice for Founders And guess what's is Benny [https://www.linkedin.com/preload/?_bprMode=vanilla#]'s favorite #movie is? 🛸🌌🪐 Check our new website: https://www.boardroomclub.net Register for our newsletter https://boardroomclub.substack.com Interviewers: Yossi Garmazi [https://www.linkedin.com/preload/?_bprMode=vanilla#] & Ellie Bleiberg [https://www.linkedin.com/preload/?_bprMode=vanilla#] #ai #tech #agent #RFT #OpenSource Chapters: 00:00 Why Open Source? 00:34 Intro 01:14 From Meta to Fireworks 03:13 What is RFT? 04:39 Raising Money in the AI era 06:54 Fireworks Customers 08:48 Developers & RFT 11:02 Why move from Closed-Source to Open Source? 13:10 FireFunction V2 15:19 Open Source to outperform Frontier models? 16:33 Lessons from Meta Vs the new AI world 19:17 Tradeoff between Cost, Latency and Model 20:26 Lessons from the AI World 23:28 Maintaining rigorous valuation & Startup speed 25:09 Principles by Ray Dalio 26:48 Advice for Product Leaders 28:29 Mentors 29:11 Hobbies 30:02 Coffee Question 30:44 Favorite Movie

Glean CEO: Save 50% of Tokens Using Glean | Apex Series

Watch our exclusive interview with Arvind Jain [https://www.linkedin.com/company/102144486/admin/page-posts/published/#], Founder and CEO at Glean [https://www.linkedin.com/company/102144486/admin/page-posts/published/#]. Glean [https://www.linkedin.com/company/102144486/admin/page-posts/published/#] has raised over $770M and is valued at $7.2B, with a mission to unlock enterprise knowledge. As they cracked the enterprise #search space, we started by discussing Glean [https://www.linkedin.com/company/102144486/admin/page-posts/published/#]'s early #contrarian bets - from defining the problem differently to building a single-tenant architecture that could be easily deployed within a customer's environment. And #growth is booming. We explored the key differentiators that helped Glean scale from roughly $100M ARR at the beginning of 2025 to more than $300M today. But besides being a search tool, we discussed how Glean [https://www.linkedin.com/company/102144486/admin/page-posts/published/#] is also reshaping the AI #token economy by providing critical context to AI models, helping customers reduce token consumption by as much as 50% in some cases. We then dove into Glean [https://www.linkedin.com/company/102144486/admin/page-posts/published/#]'s #AgenticEngine2, and touched on why product they give users direct control over AI reasoning power. Other topics we covered: • How AI has changed hiring at Glean • What launching Google [https://www.linkedin.com/company/102144486/admin/page-posts/published/#] #MapMaker in #India taught Arvind about building and scaling data platforms And Arvind [https://www.linkedin.com/company/102144486/admin/page-posts/published/#]'s favorite #movie? 🔒⛏️🌅 Check our new website: https://www.boardroomclub.net Register for our newsletter https://boardroomclub.substack.com Interviewers: Yossi Garmazi [https://www.linkedin.com/company/102144486/admin/page-posts/published/#] & Sanat Mouli [https://www.linkedin.com/company/102144486/admin/page-posts/published/#] #ai #tech #agent #token #search Chapters: 00:00 How Glean works? 00:48 Intro 01:30 From Rubrik to Glean 03:49 Glean Early Beginning 06:12 Contrarian Bets 08:36 Explosive Growth 11:04 Token Economy 14:54 Saving 30% Less Tokens 17:07 Agentic Engine 2 19:32 Enterprise Search Future 22:27 AI Impact on Glean Hiring 23:38 Assessing Candidate AI Skills 25:39 Building Google Map Maker in India 28:14 AI Impact on New Tech Hubs 29:40 Advice for Founders 30:58 What is AI Native Company? 32:47 Mentorship 32:47 Hobbies 34:28 Coffee Question 35:28 Favorite Movie

Harvey COO: The $11B Legal AI Empire | Apex Series

Watch our exclusive interview with Katie Burke [https://www.linkedin.com/preload/?_bprMode=vanilla#], Chief Operating Officer at Harvey [https://www.linkedin.com/preload/?_bprMode=vanilla#]. Harvey [https://www.linkedin.com/preload/?_bprMode=vanilla#] is growing fast. Super fast. They have #raised over $1B at $11B valuation. Coming from experience working with a well-known #sports team and athletes, we started by discussing whether building at Harvey [https://www.linkedin.com/preload/?_bprMode=vanilla#] feels more like extended sprints or a true marathon. An interesting fact, is that Harvey [https://www.linkedin.com/preload/?_bprMode=vanilla#] already runs ~25,000 #agents (!) and as such we discussed the #LongHorizon agents, and their potential taking law firms to the next level. With so many agents in the loop, much of the work still depends on close collaboration with #humans. That led us to explore the idea of “human-in-the-loop” in the #legal space, and the potential friction that comes with it. We then moved on to discuss their #SharedSpaces product and how it is transforming the way in-house legal teams work. Other interesting subjects we covered: - Do we still need lawyers in this new era of compute? - The future of AI-native companies - The concept of “service-as-software” And what #book did Katie [https://www.linkedin.com/preload/?_bprMode=vanilla#] recommend us to read? 📚🔄⏳ Check our new website: https://www.boardroomclub.net Register for our newsletter https://boardroomclub.substack.com Interviewers: Yossi Garmazi [https://www.linkedin.com/preload/?_bprMode=vanilla#] & Jason Woolf [https://www.linkedin.com/preload/?_bprMode=vanilla#] #ai #tech #law #music #SaulGoodman Chapters: 0:00 Harvey Mission 00:33 Intro 1:29 Pro sports performance & Tech 3:11 From Hubspot to Harvey 5:24 Harvey & Running 7:15 25,000 Agents in Harvey 9:47 Agents Vs Humans 11:27 Harvey hiring philosophy 14:27 Harvey Shared Spaces Product 16:40 Torys Partnership & What's next for Harvey 18:30 No more Lawyers? 20:36 Competition with AI Models 23:02 Successful AI company in 10 years 26:28 Harvey' Service-as-a-Software playbook 28:41 How failing the LSAT altered her career path 31:52 Applying NHL leadership philosophies 34:22 Non-family mentors who heavily influenced her life 35:45 Advice for Founders 37:26 Hobbies 38:12 Alternative Career 39:13 Ideal coffee date 39:51 Books and Movies