Latest Interviews
Showing 46–60 of 129 interview transcripts.
Clear all filters- RAISE Summit20 min
ALL-IN Podcast Live: Max Junestrand, CEO & Founder of Legora | RAISE Summit 2026
Max Junestrand, Jason Calacanis
Legora has accelerated to over $100 million in annual revenue while deploying a specialized "legal engineer" workforce to integrate AI-driven end-to-end agents for enterprise legal operations. The company differentiates itself through narrow, fine-tuned models and a proprietary data moat that replaces manual contract review and reduces transaction timelines to as few as twelve days. By compressing legal costs by up to 90% and bypassing the inefficiencies of traditional law firms, Legora is disrupting a market dominated by legacy providers like LexisNexis with a strategy focused on rapid scaling and cross-jurisdictional compliance.
- RAISE Summit18 min
AI's Dropout Problem: Why the Best Agents Never Stop Learning | Decagon | RAISE Summit 2026
Ashwin Sreenivas, Arjun Kharpal, Alan Palleringham, Seth Vargoe
Decagon delivers an outcome-based platform for regulated enterprises that enables large organizations to collaboratively build and safely deploy AI agents across voice, chat, and text channels. The company differentiates itself through a robust deployability layer featuring a testing suite, real-time production monitoring, and a learning loop that automates improvements based on escalated human interactions. By prioritizing infrastructure, compliance, and model cost-efficiency over raw capability, Decagon targets high-stakes sectors like finance and telecommunications to minimize brand risk while driving revenue growth.
- RAISE Summit18 min
CJ Desai, MongoDB & Laura Modiano, OpenAI in Conversation | RAISE Summit 2026
MongoDB, a cloud-native database serving 67,500 customers including JPMorgan Chase, differentiates itself as the only hybrid multi-cloud solution capable of unifying vector data, operational records, and auto-embeddings to support AI-native architectures. As enterprises transition toward 2026 production-grade agentic systems, the platform addresses critical scaling bottlenecks by offering schemaless flexibility that accommodates compressed AI model iteration cycles of just six weeks. This strategic positioning enables organizations to move beyond prototyping by solving data sovereignty concerns while accelerating innovation through forward-deployed engineering support and a unified data layer that eliminates the need for separate vector stores.
- RAISE Summit19 min
Fireside Chat with Parag Agrawal, Founder & CEO of Parallel Web Systems | RAISE Summit 2026
Parag Agrawal, Karim Jalbout, Vineet Bhanwajani, Vineet Bhanuri, Vineeth Pandey, Vikas Khannabiswamy
Parallels founder Vikas Khannabhiswamy redefined the scale of AI web usage, forecasting agents will consume data 100,000 to 1,000,000 times more than humans by deploying a specialized infrastructure layer for high-volume knowledge work. The platform addresses critical limitations of standard LLMs by integrating real-time web search and applying Shapley values to automate fair compensation for content owners, thereby disrupting traditional web monetization models. This approach targets sectors like AI law, science, and coding while establishing a new revenue framework where publishers are paid proportionally to their specific data contribution.
- RAISE Summit20 min
AI Compute: Rebuilt for the Agentic Era | Mark Papermaster, AMD | RAISE Summit 2026
Mark Papermaster, Karim Jalbout
Driven by a surge in AI adoption that propelled its market capitalization from $200 billion to nearly $1 trillion, AMD is targeting server CPU market leadership through a holistic system design philosophy that includes the upcoming 72-node "Helios" rack and two-nanometer "Venice" processors. The company has transitioned from component manufacturing to integrated rack-level solutions by acquiring ZT Systems and deploying open-standard AI stacks across major European supercomputers to address data sovereignty and energy efficiency demands. Underpinning this growth is a scrappy corporate culture focused on customer collaboration, which has enabled a strategic shift toward agentic AI workflows and expanded training for its 33,000-person workforce to align with enterprise needs.
- RAISE Summit25 min
AI, Security & Economic Power: A New Playbook for Democracies | Sebastian Kurz | RAISE Summit 2026
Sebastian Kurz, Jacob Helberg, Sebastian Matthes
At the second Pax Silicon Summit in Washington, European nations acceded to the Paxilica initiative while leaders like Jacob and Sebastian debated the viability of sovereign AI against a backdrop of historic U.S. economic growth driven by an AI boom. The discussion highlighted a strategic divergence where the U.S. promotes an ecosystem-based approach to sovereignty and deregulation, contrasting with European concerns over the Digital Markets Act and the high costs of total vertical integration. Ultimately, experts emphasized that while foundational model dominance remains difficult for Europe, securing critical infrastructure and shifting toward competitiveness are essential to prevent total reliance on superpowers or losing the financial capacity for social welfare.
- RAISE Summit20 min
Qasar Younis, Applied Intuition & Mamoon Hamid, Kleiner Perkins | RAISE Summit 2026
Founded by automotive veterans Mamoun Lachheb and Peter, Applied Intuition pivoted from a robotic taxi ambition to a self-funding platform generating revenue from commercial L4 trucking in Japan and a multi-hundred million dollar defense sector. The company now distinguishes "Physical AI" through end-to-end transformer models that enable dynamic human-machine collaboration across diverse vehicle form factors while maintaining radical pragmatism by keeping 93% of its $1 billion in capital on the balance sheet. This strategy supports a culture of radical pragmatism where over 1,000 engineers prioritize profitability and survival, fostering a "founders mafia" of 40 alumni who spin out new ventures using the company's shared infrastructure.
- RAISE Summit20 min
Fireside Chat with Ekin Dogus Cubuk, Co-CEO of Periodic Labs | RAISE Summit 2026
Founded by former Google Brain and DeepMind researchers, a new company is deploying a hybrid infrastructure of large language models, reinforcement learning, and high-throughput robotics to overcome data limitations in physical science. The Bay Area laboratory automates semiconductor and materials research by executing thousands of daily experiments to create a recursive improvement cycle for chip manufacturing and solid-state chemistry. With an immediate goal of reaching 1,000 experimental trials per day, the venture aims to generate rapid process engineering breakthroughs for the industry while evolving toward profitable intellectual property generation.
- RAISE Summit21 min
From AI Adoption to AI ROI | Glean & Altimeter Capital | RAISE Summit 2026
Arvind Jain, Apoorv Agrawal, Vikas Khannabiswamy, Shyam Gollakota, Vikram Bajaj
Glean, co-founded by former Google and Rubrik executive Arvind Krishnan, differentiates itself in the enterprise AI market by building a proprietary context graph and retrieval layer rather than developing foundation models. The company is strategically pivoting from personal productivity tools to measurable departmental use cases like customer service and legal review to demonstrate clear return on investment amid rising infrastructure costs. By maintaining neutrality across major model providers and utilizing limited forward-deployed engineering, Glean aims to solve the critical gap between raw AI capabilities and secure, accurate enterprise implementation.
- RAISE Summit21 min
The New AI Challenge: Trust, Control, and Scale | JetBrains x NVIDIA | RAISE Summit 2026
As enterprises transition from individual AI literacy to team-level agentic deployment, a strategic shift is required to restructure engineering units into integrated "teams of builders" that maintain shared context across the product lifecycle. This evolution necessitates a three-layer governance framework combining individual tool integration, centralized platform policy enforcement, and collaborative team environments to ensure agentic intelligence remains observable, traceable, and auditable. By leveraging open standards like the Agent Communication Protocol and secure infrastructure solutions, organizations can mitigate risks such as shadow AI and prompt injections while focusing on extracting tangible business value from agentic inference rather than superficial metrics.
- RAISE Summit19 min
The Democratization of Engineering | Sassine Ghazi, Synopsys | RAISE Summit 2026
Synopsys CEO Sasan Ghazi outlines a strategic pivot toward full silicon-to-systems co-design following the ANSYS acquisition, enabling cross-domain physical optimization for complex AI and robotics applications. As the industry shifts from monolithic architectures to heterogeneous designs, the company leverages autonomous L4-level AI agents to accelerate chip workflows while addressing severe wafer capacity constraints projected to impact the market by 2030. This approach prioritizes high-fidelity digital twins to reduce prototyping costs and secure supply chains against the surging demand for physical AI infrastructure.
- RAISE Summit21 min
Crusoe's Energy-First Vision for the AI Cloud | Chase Lochmiller | RAISE Summit 2026
Chase Lochmiller, Henri Delahaye, Francesc Campoy, DAN GALPIN, FRANCOIS BEAUFORT
Crusoe is establishing itself as a vertically integrated AI infrastructure leader by relocating compute from traditional hubs to stranded energy sources, having secured over 40 GW in its development pipeline with rapid construction cycles like the 11-month Abilene project. The company recently acquired Atero to deploy its "Crusoe Memory Alloy" for optimized inference, simultaneously shifting its product strategy toward distributed "AI factories" that monetize hardware investments through cost-effective token generation rather than large-scale training. As the industry transitions from theoretical announcements to execution over the next 24 months, Crusoe prioritizes operational resilience and end-user value delivery to dominate the emerging market for decentralized, energy-driven AI services.
- RAISE Summit22 min
David Bitton, David Dubrovsky, Andrew Dieckman & Rachel Metz | Fireside Chat with 5C & AMD
David Bitton, David Dubrovsky, Andrew Dieckman, Rachel Metz
The event examines the strategic co-design partnership between infrastructure builder 5C and chipmaker AMD, which aims to resolve global compute shortages through vertically integrated data centers optimized for multi-generational hardware cycles. Industry leaders prioritize site selection based on power grid capacity, political stability, and proactive community engagement to mitigate opposition while managing the intense market consolidation where top customers control half of global demand. Looking toward a decade ahead, the discussion outlines a bifurcated infrastructure future featuring massive liquid-cooled training clusters alongside edge AI, driven by the necessity of flexible power allocation and deep strategic trust between partners.
- RAISE Summit19 min
Scaling AI Infrastructure for the Agentic Era | Charlie Kawwas, Broadcom | RAISE Summit 2026
Frontier artificial intelligence laboratories are increasingly partnering with Broadcom to deploy purpose-built XPU architectures that replace general-purpose hardware, enabling custom designs that eliminate efficiency losses and proprietary ecosystem taxes. This strategic shift supports a massive scaling trajectory where Broadcom projects over $100 billion in revenue by 2027 while delivering 16 times the current compute capacity through modular chiplet technology. As major clients contract for gigawatt-scale power expansions, the collaboration prioritizes rapid time-to-market for specialized "agentic AI" workloads while addressing supply chain constraints through new advanced packaging facilities.
- RAISE Summit18 min
Your AI Advantage: Turning Intelligence Into Results | Mark Hura, Oracle | RAISE Summit 2026
Enterprise leaders are shifting from experimental AI to applied AI strategies that prioritize specific business outcomes across sectors like healthcare, finance, and construction. Oracle supports this transition by providing a full-stack infrastructure that enables data sovereignty and local inference, while internal success stories demonstrate dramatic efficiency gains such as a 72% reduction in billing errors. Industry executives are advised to align top-down strategic goals with bottom-up operational needs to capitalize on the current accelerated adoption cycle where AI integration drives tangible reductions in cost and burnout.