Latest Interviews
Showing 46–60 of 77 interview transcripts.
Clear all filters- Sequoia Capital48 min
Building the System of Record for the AI Era ft Workday CEO Carl Eschenbach
Carl Eschenbach, Sonya Huang, Pat Grady
Workday CEO Carl Eschenbach is redefining the platform as a unified "Agent System of Record" to govern both human employees and AI agents across its database of over 70 million users. To monetize this shift, the company is deploying a multi-faceted pricing model involving seat-based uplifts, role-based agent fees, and consumption-based API access while utilizing strategic acquisitions like HiredScore to drive measurable productivity gains. Despite an 8% workforce restructuring to fund reinvestment, Eschenbach emphasizes that AI will serve as a growth engine rather than a cost-cutting tool, maintaining a human-in-the-loop approach for critical decisions to preserve the company's core values.
- Sequoia Capital1h 26m
A Better End State than AGI? Replit CEO Amjad Masad on 1 Billion Developers
Amjad Masad, David Cahn, Sonya Huang
Replit co-founder Amjad Massad argues that while near-term AI excels at data-rich tasks like coding and mathematics, creative problem-solving remains a distinctively human capability, setting the stage for a "billion developers" economy. Following a 2024 strategic pivot to prioritize agent development, the company launched Replit Agent Version 2, which leverages Anthropic's Sonnet 3.5 to automate entire software lifecycles and drive a tenfold increase in app deployments. This shift democratizes global software creation by enabling non-technical sectors to build tailored solutions, transforming users from passive consumers into "creative engines" that leverage AI to multiply productivity.
- Sequoia Capital43 min
From Software Engineers to AI Word Artisans: Filip Kozera of Wordware
Philip Kizera, co-founder of WordWare, positions his platform as a programmable document system that enables analytical creatives to encode human intent and structured logic into AI agents, treating English as the assembly language for Large Language Models. The company distinguishes its approach by moving beyond simple chat interfaces to offer deployment as an API, an AI-native workflow engine, and a collaborative ecosystem for sharing agent components, thereby targeting a user base of 500 million to 1 billion by democratizing complex AI deployment. By framing the future human role as setting strategic taste while AI executes operational details, WordWare aims to replace raw prompting with repeatable, structured workflows capable of handling massive document ingestion and deep reflection loops.
- Sequoia Capital51 min
Josh Woodward: Google Labs is Rapidly Building AI Products from 0-to-1
Josh Woodward, Ravi Gupta, Sonya Huang
Google Labs operates as an autonomous unit dedicated to rapidly prototyping frontier AI products, prioritizing market validation over immediate technological perfection. Key initiatives include Mariner, a computer-use agent currently targeting enterprise automation, alongside Veo, a generative video model solving physics constraints while shifting industry models toward pay-per-output. The organization accelerates innovation by blending veteran engineering with diverse creative talent to launch ideas within 50 to 100 days, ultimately aiming to replace passive consumption with steerable, asset-driven user experiences.
- Sequoia Capital54 min
How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg
Winston Weinberg, Sonya Huang, Pat Grady
Founded in July 2022 by Winston Weinberg and Gabe, Harvey targets the $400 billion U.S. legal market by deploying specialized agentic workflows that prioritize citation accuracy over generic chat interfaces. The company differentiates itself through a hybrid revenue-share model and a rigorous technical architecture utilizing OpenAI's O-series models alongside proprietary process data to eliminate hallucinations in high-stakes legal tasks. By collaborating with top-tier law firms as design partners and transitioning toward automating commoditized work, Harvey aims to fundamentally shift industry economics from billable hours to fixed fees while expanding access to justice.
- Sequoia Capital33 min
OpenAI’s Deep Research Team on Why Reinforcement Learning is the Future for AI Agents
Isa Fulford, Josh Tobin, Sonya Huang, Lauren Reeder
Launched three weeks ago, OpenAI's Deep Research is an agentic system powered by a fine-tuned O3 model that executes complex, multi-hour tasks like market analysis and medical research in 5 to 30 minutes. Utilizing reinforcement learning to optimize browsing and coding strategies, the tool distinguishes itself through a pre-research clarification flow that refines user prompts for higher-quality synthesis. As part of a broader 2025 shift toward agent-driven workflows, this technology aims to amplify knowledge workers by automating information-intensive processes previously deemed too time-consuming.
- Sequoia Capital1h 0m
AI, Security and the New World Order ft. Palo Alto Networks’s Nikesh Arora
Nikesh Arora, Sonya Huang, Pat Grady, Jim Goetz
Nikesh Arora outlines a shifting AI landscape where falling development costs enable specialized models while warning that premature agency requires rigorous "AI firewalls" to mitigate real-time cyber threats and hallucinations. He details Palo Alto Networks' strategy of acquiring only category leaders under strict co-authorship agreements, a tactic designed to preserve agility amidst a predicted five-year battle between autonomous agents. Additionally, Arora forecasts a regulatory bifurcation for critical infrastructure alongside a market split between enterprise-grade specialized systems and consumer-focused general-purpose AI.
- Sequoia Capital44 min
Vector Databases and the Data Structure of AI ft. MongoDB’s Sahir Azam
Sahir Azam, Sonya Huang, Pat Grady, Amy Quinton
This session explores the evolution of quality engineering for probabilistic software, highlighting how traditional deterministic models are being replaced by RAG architectures and vector databases to achieve 99.99% reliability in enterprise environments. It details concrete ROI from the automotive and pharmaceutical sectors, where embedding models and large language models have drastically reduced diagnosis times and automated complex clinical reporting while preserving data sovereignty. The discussion concludes by framing databases as the essential memory layer for AI agents, emphasizing MongoDB's strategy to unify structured, unstructured, and vector data into a single system that supports the next generation of agent-driven workflows.
- Sequoia Capital55 min
Using AI to Empower Creators fr Roblox Studio Head Stef Corazza
Stef Corazza, Konstantine Buhler, Sonya Huang
Roblox is leveraging its $29 billion market-cap infrastructure and a multimodal dataset authorized by its creator community to deploy generative AI tools that increase developer output by up to 180%. These features, including code assistants and 3D material generators, are currently driving a 30% higher game publication rate while maintaining safety through strict moderation protocols. The company's roadmap aims to transition game creation from pixel-level control to intent-based design, utilizing 3D foundational models to enable dynamic storytelling and real-time visual personalization.
- Sequoia Capital53 min
From AlphaGo to AGI ft ReflectionAI Founder Ioannis Antonoglou
Ioannis Antonoglou, Stephanie Zhan, Sonya Huang, Giannis Antinoglou
DeepMind founders Demis Hassabis and Shane Legg pioneered Artificial General Intelligence research by utilizing video games as controlled testbeds, evolving from AlphaGo's human-supervised neural networks to the self-learning AlphaZero and MuZero architectures. This strategic shift addressed critical limitations like hallucination and the "data wall" by prioritizing reinforcement learning and planning over static data pre-training, a methodology now considered essential for future AGI development. Looking ahead, experts predict that within five years, increased compute will directly yield higher intelligence in autonomous agents, marking a transition toward systems capable of independent reasoning and novel scientific discovery.
- Sequoia Capital52 min
Turning Graph AI into ROI ft Kumo’s Hema Raghavan
Hema Raghavan, Konstantine Buhler, Sonya Huang, Constantine, Sonia
Kumo AI co-founder Hema Raghavan presents a GPU-accelerated AutoML platform that automatically constructs graph structures from relational data to enable predictive SQL-like queries without manual engineering. The system delivers rapid four-week proofs of concept for sectors ranging from fintech fraud detection to healthcare demand forecasting by integrating directly with Snowflake and Databricks while maintaining strict data residency. By combining optimized cost architectures with explainability features and LLM synergies, Kumo lowers the barrier to graph learning for diverse enterprises requiring immediate, accurate model insights.
- Sequoia Capital1h 0m
Turning Academic Open Source into Startup Success ft Databricks Founder Ion Stoica
Ion Stoica, Stephanie Zhan, Sonya Huang, Jan Stojka, Matej
Databricks addresses the critical gap between AI experimentation and production by promoting Compound AI Systems and launching the open-weight Dbricks model to ensure enterprise data privacy and compliance. Under founder Jan Stojka's guidance, the company leverages strategic partnerships with rivals like Microsoft while prioritizing robust data infrastructure over base model capabilities to drive accuracy and security. Looking ahead, the organization forecasts a shift toward commoditized inference costs and autonomous agents, urging founders to focus on verifiable, production-ready solutions rather than technical demonstrations.
- Sequoia Capital52 min
Cracking the Code on Offensive Security With AI ft XBOW CEO and GitHub Copilot Creator Oege de Moor
Oege de Moor, Konstantine Buhler, Sonya Huang
Former Oxford professor and GitHub Copilot creator Uge Demore's company Expo deploys an autonomous AI system to automate offensive security testing, achieving an 85% success rate on proprietary benchmarks while matching top human penetration testers in 28 minutes instead of 40 hours. The platform continuously identifies critical vulnerabilities in major financial institutions and replaces traditional $18,000 manual tests with a scalable, subscription-based service designed to outpace AI-assisted cyber threats. Operating on a foundation of proprietary training data and strict cloud-based guardrails, Expo aims to transform web security standards by making continuous, automated offensive testing accessible to organizations of all sizes.
- Sequoia Capital39 min
Using AI to Build “Self-Driving Money” ft Ramp CEO Eric Glyman
Eric Glyman, Ravi Gupta, Sonya Huang
Ramp CEO Eric Gleiman champions a "zero-touch automation" strategy that utilizes large language models to execute invisible financial tasks, allowing over 25,000 companies to automate expense reporting and achieve average annual savings of 5%. This approach replaces traditional chatbot interfaces with self-driving money systems that automatically classify vendors and complete reports, marking a shift from routine data entry to high-value strategic work for finance leaders. By prioritizing enduring customer pains over temporary tech trends, the company positions itself to disrupt legacy financial institutions through non-bank innovation that mimics the operational efficiency of "self-driving" transformations in other industries.
- Sequoia Capital47 min
Decart’s Dean Leitersdorf on AI-Generated Video Games and Worlds
Dean Leitersdorf, Sonya Huang, Shaun Maguire, Sean McGuire
Descartes has unveiled Oasis, a fully playable AI game engine that executes real-time video model inference on standard H100 hardware without requiring specialized Blackwell chips or traditional game engines. By leveraging a vertically integrated architecture and a custom prompt-to-pixels approach, the company converges training in 20 hours compared to the industry standard of two weeks, positioning the technology to transition users from static interfaces to dynamically generated experiences. Founding team members Dean Leiterstorff and Sean McGuire argue that this low-level systems mastery and the rapid convergence of transformer and pixel-based models will establish a durable competitive moat as the firm moves toward a "generated experience" future.