Latest Interviews
Showing 31–45 of 88 interview transcripts.
Clear all filters- RAISE Summit20 min
Funding the AI Supercycle: IPOs, Liquidity & Growth | Nelson Griggs, Nasdaq | RAISE Summit 2026
Driven by a resurgence in IPO diversity and massive capital needs for AI infrastructure, the public market is experiencing its most active pipeline in over 25 years, highlighted by SpaceX's historic entry into the NASDAQ 100. Valuation benchmarks have shifted toward profitability and significant revenue scales, prompting a strategic pivot from "growth at all costs" to sustainable models while European tech firms increasingly bypass local exchanges for higher U.S. liquidity. Regulatory adjustments, such as NASDAQ's "fast entry" rules, are accelerating listings for mature mega-caps, setting the stage for a robust flow of billion-dollar offerings through 2026.
- RAISE Summit18 min
Creativity in the Age of AI | NYSE, Canva & Anthropic | RAISE Summit 2026
Michael Harris, Duncan Clark, Guillaume Princen
Canva executives and Anthropic leaders outlined a strategic convergence where AI acts as a workforce amplification tool rather than a replacement, evidenced by Canva's internal hackathons and Anthropic's enterprise focus on data trust. Their collaboration highlights a shift toward agentic capabilities by 2026, enabling automated workflows like the new Affinity Pro integration and scaled design customization for global marketing teams. The discussion forecasts that ecosystem connectivity and context will drive a 2027 milestone where AI surpasses top human expert performance, fundamentally compressing industry progress timelines.
- 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
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 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 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.
- RAISE Summit18 min
Cheap Tokens, Expensive Mistakes: The Real Economics of AI at Scale | RAISE Summit 2026
Liran Zvibel, Dylan Patel, Karen Kwok
Major AI operators are pivoting from pure pricing power to structural cost efficiency, leveraging advanced KV cache offloading and optimized storage architectures to slash inference expenses. Recent benchmarks reveal that NAND-based memory solutions and strategic hardware combinations, such as high-capacity AMD GPUs, can outperform standard setups by up to 20 times in multi-turn agentic workflows while delivering 7x higher throughput. This shift allows emerging providers and frontier labs to significantly expand gross margins, with companies like Anthropic and OpenAI now projecting substantial operating profits driven by these infrastructure innovations rather than model weights alone.
- RAISE Summit19 min
The Mindset Shift Needed to Thrive Alongside AI | Marco Argenti, Goldman Sachs | RAISE Summit 2026
Goldman Sachs has achieved a 20% net engineering productivity gain by shifting from spec-driven to prototype-driven development, where business professionals utilize AI tools to build functional models that engineers then scale. This transformation is underpinned by strict governance frameworks that treat AI output as junior input requiring rigorous code review, alongside a leadership culture where executives actively model adoption while retaining final strategic decision-making authority. Consequently, junior staff now focus on client engagement and apprenticeship rather than mechanical analysis, as internal copilots handle the bulk of data processing and initial research tasks.
- RAISE Summit18 min
Keeping AI Honest: The AI Wave Seen From the Inside | Olivier Pomel, Datadog | RAISE Summit 2026
Datadog reported fiscal revenue projections reaching $4.3 billion, driven by a 30% year-over-year growth rate fueled by rising AI adoption across its diverse customer base. CEO Olivier Limousin highlighted the company's strategic pivot from passive observability to active autonomy through the acquisition of Adaptive ML, aiming to build proprietary models that are faster and cheaper than frontier alternatives. While current systems resolve 40% of issues independently, leadership maintains a culture of rigorous caution to ensure near-perfect accuracy before pursuing full self-healing capabilities.
- RAISE Summit18 min
Betting on the AI Application Layer | Grant Lee, Gamma | RAISE Summit 2026
Gamma, an AI-driven visual communication platform with over 100 million users and a $2.1 billion valuation, is expanding its international footprint by establishing a London office to support its 80% non-US user base. Led by Grant Lee, the company is pivoting from simple slide generation to enterprise-grade brand alignment while adopting a lean organizational structure that prioritizes cohesive user experiences over proprietary model ownership. Lee further advocates for a multi-model strategy to navigate regulatory shifts and positions the current market as a transition from bolting AI onto workflows to fundamentally reinventing product architecture.
- RAISE Summit19 min
Winning Travel's AI Race | Ariel Cohen, Navan and Molly O'Shea, Sourcery | RAISE Summit 2026
Navan leverages its "Navan Cognition" orchestration platform to deploy hybrid human-AI workflows that handled 60% of complex travel issues with human-comparable satisfaction while driving 50% year-over-year Gross Booking Value growth. This strategy enabled the company to achieve profitability and positive cash flow by combining AI efficiency with a "supervisory model" where human agents oversee automated agents for high-stakes executive travel. Ariel Cohen positions Navan to capture market share from legacy competitors by replacing the traditional SaaS model with performance-based revenue and a blended business-leisure booking experience.