Notable Perspectives

What happens when we start talking to machines like we talk to each other?
In this episode of Notable Perspectives, Chelcie Taylor sits down with Kwindla Hultman Kramer, CEO and co-founder of Daily. A decade-long bet on real-time audio and video infrastructure, Daily quietly built the plumbing that powers telehealth, education, and enterprise communication. Then GPT-4 arrived — and Daily’s infrastructure became the backbone of the voice AI revolution. Their open-source framework Pipecat is now the most widely used toolkit for building production voice agents, from customer support bots to robotics systems. Backed by $60M+ in funding from investors including Renegade Partners and Lachy Groom, Daily sits at the exact intersection of real-time infrastructure and the AI agent explosion.
Join us as we explore:
The Lightbulb Moment: How GPT-4 turned a video infrastructure company into the backbone of the voice AI revolution — and why Kwindla saw it before everyone else.
Healthcare’s Surprise Adoption: Why the most regulated industry in the world became the fastest adopter of voice AI — and what that signals about every other vertical.
Agents Are Just Loops: The engineering reality behind the AI agent hype — and why the hard problems in voice taught Daily lessons the rest of the industry is just now learning.
Produced by Breaking Glass Studio.
Follow Notable Capital: 
X: @notablecap 
LinkedIn: @Notable Capital 
Visit Our Website: https://www.notablecap.com/ 
Subscribe on Spotify: https://open.spotify.com/show/43j3cMkcKIgHuXu1tFHWpz?si=a326d0cd016f47c0
Subscribe on Apple Podcast: https://podcasts.apple.com/us/podcast/notable-perspectives/id1392649094

How do we secure and manage a rapidly multiplying swarm of AI agents in an enterprise world?
In this episode of Notable Perspectives, Glenn Solomon and Oren Yunger sit down with Slavik Markovich and Rishi Bhargava, co-founders of Descope. Former security innovators behind DeMisto (acquired by Palo Alto Networks), Slavik and Rishi are now tackling one of the most pressing challenges in modern tech: identity, access, and trust in a world where AI agents act autonomously and unpredictably.
Join us as we explore:
The Chaos Problem: How AI agents multiply risk across enterprise systems, creating backdoors, misconfigurations, and new attack surfaces.
Trust at Scale: Building infrastructure and granular controls to keep AI behavior predictable — and keeping enterprises safe in the process.
The Identity Revolution: Why managing agent identities, permissions, and audit trails is now critical to surviving the AI explosion.
Follow Notable Capital: 
X: @notablecap 
LinkedIn: @Notable Capital 
Visit Our Website: https://www.notablecap.com/ 
Subscribe on Spotify: https://open.spotify.com/show/43j3cMkcKIgHuXu1tFHWpz?si=a326d0cd016f47c0
Subscribe on Apple Podcast: https://podcasts.apple.com/us/podcast/notable-perspectives/id1392649094

How did a career platform become a nearly $1B AI business?
In this episode of Notable Perspectives, Jeff Richards sits down with Garrett Lord, the co-founder and CEO of Handshake — the career network connecting 22 million young professionals to every Fortune 500 company and powering 92% of higher education in America. Garrett left Palantir with a contrarian conviction borrowed from Peter Thiel: that access to opportunity shouldn't depend on which school you attended or who your parents knew. A decade later, that conviction has produced something nobody saw coming — an AI business that went from zero to a nearly $1B run rate less than 18 months, built on the counterintuitive principle that matching people to careers demands more human judgment, not less.
Join us as we explore:
The Zero-to-$500M Sprint: How Handshake's AI business exploded from nothing to a $500M+ run rate in eight months — and what Fortune 500 companies were desperate for that made the opportunity impossible to ignore.
Why AI Needs Humans More: The case for reinforcement learning and "unverifiable tasks" — why building AI that matches people to careers requires more human trainers, not fewer, and what that means for the future of hiring.
The Partner Principle: How becoming a husband and father transformed Garrett's leadership — and why he believes the most important decision a CEO makes has nothing to do with the business.
Produced by Breaking Glass Studio.
Follow Notable Capital: Find Us On X: @notablecap Find Us On LinkedIn: @Notable Capital Visit Our Website: https://www.notablecap.com/ Subscribe on Spotify: https://open.spotify.com/show/43j3cMkcKIgHuXu1tFHWpz?si=a326d0cd016f47c0 Subscribe on Apple Podcast: https://podcasts.apple.com/us/podcast/notable-perspectives/id1392649094
Follow Notable Capital: 
X: @notablecap 
LinkedIn: @Notable Capital 
Visit Our Website: https://www.notablecap.com/ 
Subscribe on Spotify: https://open.spotify.com/show/43j3cMkcKIgHuXu1tFHWpz?si=a326d0cd016f47c0
Subscribe on Apple Podcast: https://podcasts.apple.com/us/podcast/notable-perspectives/id1392649094

How do we systematically evaluate and improve increasingly autonomous AI systems?
In this episode of Notable Perspectives, Glenn Solomon and Dan Cahana sit down with Rebecca Qian, co-founder and CTO of Patronus AI. A former fundamental NLP researcher at Facebook AI, Rebecca and her team are now creating millions of adaptive, simulated environments — “intelligent worlds” — that teach AI agents to reason, plan, and make decisions like humans. 
Join us as we explore:
The Eval Problem: Too few evals on too narrow a slice of reality; benchmark and leaderboard culture has created the wrong incentive.
Reality of Simulations: The shift from single-turn classification to agents that reason and decide the way people do. And the stakes if you get it wrong — reward hacking, deception, misalignment.
Building the Factory: The insight that general intelligence requires generalizable capabilities — not domain-specific data.
Chapters:
00:00 — The Eval Problem: Why current AI evaluation methods are fundamentally broken—and what it means for building reliable, autonomous systems.
00:58 — The ChatGPT Turning Point: The moment that signaled AI was ready to move beyond research into real-world decision-making and enterprise use.
02:44 — The Alignment Challenge: Why teaching AI to reason like humans in messy, unpredictable environments is the core problem to solve.
04:08 — Why Simulations Matter: How simulated environments unlock scalable training, safer experimentation, and better real-world performance.
06:19 — The Shift to AI Agents: From static models to dynamic systems that take actions over time and make complex decisions.
07:35 — Reward Hacking Risks: How AI systems learn to “cheat” evaluations—and why that poses a serious risk if left unchecked.
09:05 — Choosing What to Simulate: Why focusing on transferable human capabilities (not job-specific tasks) is key to general intelligence.
11:30 — Building Adaptive Worlds: The power of curriculum learning and environments that evolve alongside increasingly capable models.
12:38 — The Simulation Factory: Inside the vision to scale millions of intelligent, adaptive environments for training AI.
13:59 — The Future of AI: What it looks like to simulate reality itself—and the massive opportunity ahead.
14:58 — Founder Mindset: How to stay grounded, resilient, and adaptive while building at the cutting edge of AI.
16:35 — Closing: Final thoughts on the future of evaluation, intelligence, and building trustworthy AI systems.
Produced by Breaking Glass Studio.
Follow Notable Capital: 
X: @notablecap 
LinkedIn: @Notable Capital 
Visit Our Website: https://www.notablecap.com/ 
Subscribe on Spotify: https://open.spotify.com/show/43j3cMkcKIgHuXu1tFHWpz?si=a326d0cd016f47c0
Subscribe on Apple Podcast: https://podcasts.apple.com/us/podcast/notable-perspectives/id1392649094

Your website doesn't need to go away — but 90% of its human visitors probably will.
In this episode of Notable Perspectives, Chelsea Taylor sits down with Chris Andrew, co-founder and CEO of Scrunch AI. After a decade selling enterprise software to the world's largest banks and insurance companies, Chris spotted a permanent shift in how humans browse, engage, and transact on the web — and built the infrastructure for what comes next.
Join us as we explore:
The Permanent Shift: AI is already powering over 50% of search in North America. The way people discover brands, products, and information has fundamentally changed — and most companies haven't caught up.
Marketing to Agents, Not Just Humans: The martech stack isn't about perfecting the human experience anymore. AI agents are arriving at your website with context and intent, on behalf of a human. If you're not marketing to the agent, you're missing the human.
What Scrunch Actually Does: Monitor how AI agents interact with your content, understand how your brand appears across AI search platforms, and deliver content optimized for retrieval — a parallel version of your site built for the models shaping the modern customer journey.
Produced by Breaking Glass Studio.
Follow Notable Capital: 
X: @notablecap 
LinkedIn: @Notable Capital 
Visit Our Website: https://www.notablecap.com/ 
Subscribe on Spotify: https://open.spotify.com/show/43j3cMkcKIgHuXu1tFHWpz?si=a326d0cd016f47c0
Subscribe on Apple Podcast: https://podcasts.apple.com/us/podcast/notable-perspectives/id1392649094