The Boston Quantara Podcast

In this episode of the Boston Quantara Podcast, Lewis sits down with Sai Guduguntla, co-founder and CEO of YC-backed Hyperbound, exploring how their innovative outbound training tools and why enterprise customers are flocking to a seed startup!

We dive deep into:

• What makes Hyperbound’s unique in today’s crowded sales tech stack
• How sales teams are using it day-to-day to drive performance
• Why personalization and real objection handling repetition is the secret to avoiding robotic, spammy outreach
• Their biggest challenges and wins, in enterprise adoption
• Surprising success and user case stories
• Where AI-driven sales enablement is heading in the future

Whether you’re a sales leader looking to upskill your team, or simply curious about the future of AI and sales training, I strongly urge you check out what Hyperbound are doing!

In this episode, we dive into the evolving role of AI in shaping modern go-to-market strategies. Our guest, Johnathan, draws on deep experience working with early-stage founders and revenue teams to explore how AI can amplify customer insight, break down silos between product, marketing, and sales, and blend product-led growth with traditional sales-led approaches.

We unpack the real impact of AI on sales reporting, decision-making, and early-stage metrics—plus how founders can avoid common pitfalls when adopting AI into their GTM stack. Looking ahead, we imagine what an AI-native sales team looks like in 2025, the tools worth building around, and how AI isn’t just a productivity boost—but a creative partner in GTM execution.

If you're building or scaling a startup, this one's for you.

In this episode, we dive into the evolving role of AI in shaping modern go-to-market strategies. Our guest, Johnathan, draws on deep experience working with early-stage founders and revenue teams to explore how AI can amplify customer insight, break down silos between product, marketing, and sales, and blend product-led growth with traditional sales-led approaches.

We unpack the real impact of AI on sales reporting, decision-making, and early-stage metrics—plus how founders can avoid common pitfalls when adopting AI into their GTM stack. Looking ahead, we imagine what an AI-native sales team looks like in 2025, the tools worth building around, and how AI isn’t just a productivity boost—but a creative partner in GTM execution.

If you're building or scaling a startup, this one's for you.

In this episode, we chat with Jake Grafenstein, CTO of Elayne, about his journey to tech leadership and the lessons he's learned along the way. Jake shares how mentorship, team morale, and innovation play a key role in leading AI projects. He also dives into aligning tech with business goals, adopting new technologies, and preparing for the future of AI.

If you're looking for insights on AI leadership and navigating the fast-paced tech world, this one's for you!

In this episode of The Boston Quantara Podcast, we sit down with Research Director Ryan Kmetz to unpack the hidden challenges, false assumptions, and missed opportunities in the world of geospatial technology.

We dig into:

• Why "geospatial" is often misunderstood (and misused)
• The operational blind spots in traditional mapping tools
• Environmental Justice Applications
• Democratizing Geospatial Intelligence
• And how innovation often gets stalled by overpromises and under-delivery

This is a conversation for anyone working in infrastructure, logistics, civic tech—or just trying to make real-world decisions using spatial data that’s anything but straightforward.

In this episode, Damian Speirs is joined by Yiannis Antoniou , CTO and co-founder of Lydatum, to explore the emerging world of AI agents in financial services. As generative AI moves beyond chatbots and into “agentic” systems that make real decisions and take autonomous action, the industry faces urgent questions about risk, governance, and control.

They discuss why traditional AI governance is no longer enough, how agentic systems create new types of operational and compliance risk, and what accountability looks like when autonomous systems make mistakes. With insights drawn from both AI development and regulatory realities, Yiannis offers a framework for thinking clearly—and acting responsibly—as financial institutions embrace AI agents at scale.

Find out more about Lydatum at www.lydatum.com

In this episode of the Boston Quantara Podcast, we dive into what it takes to build software that can keep pace with the ever-evolving world of AI. Dan Kaslovsky shares a candid perspective on why software engineering is less about one-time builds and more about designing for constant change.

From modularity and testing to embracing best practices that support flexibility, we explore how teams can future-proof their work in a landscape where AI tools, models, and demands shift faster than ever.

Whether you’re leading a dev team or writing code yourself, this episode offers a grounded look at the engineering principles that matter most right now.

Have you ever watched someone struggle with technology and wished there was a simpler way? That's exactly the challenge Emily Smith set out to solve when she founded SideNerd, a revolutionary platform that turns text messages into powerful user interfaces.

Emily's journey through a decade in data and marketing technology led her to a crucial insight: while many people—particularly older volunteers at nonprofits—struggle with downloading apps, creating accounts, and navigating complex interfaces, virtually everyone knows how to send a text message. This realization became the foundation for SideNerd, which allows users to interact with databases and complete data entry tasks through simple SMS exchanges.

What makes SideNerd truly innovative is its schema-first design approach. Rather than creating complex conversational flows with endless branches, Emily built a system that starts with the data structure needed for each use case. This methodology aligns with established automation frameworks, focusing on translating messy human input into structured data that can generate insights, inform decisions, and trigger actions. Each stage addresses specific challenges, from data misinterpretation to ensuring insights arrive at the right place and time for decision-makers.

The platform seamlessly integrates with tools organizations already use, like Google Sheets, minimizing disruption while maximizing accessibility. Looking ahead, Emily is expanding SideNerd's capabilities through AI integration with platforms like Zapier and ChatGPT, enabling users to make natural language requests that trigger complex automated workflows—from identifying top volunteers to generating reports and sending personalized communications.

After dedicating over a year to engineering and refining the platform, Emily is now ready to scale operations and help more organizations discover how text-based interfaces can solve their challenges. SideNerd demonstrates that sometimes the most powerful innovation isn't adding complexity, but stripping it away to create technology that truly serves everyone. Check out SideNerd today to see how simplified technology can transform your organization's data capabilities.

In this episode we sit down with Josep Carner Marsal, a visionary in the world of Artificial Intelligence and Machine Learning, who formerly led cutting-edge projects at Google. With years of experience shaping AI advancements, Josep dives deep into the evolution of machine learning, sharing insights from their time at Google and beyond.

From leading pioneering research to navigating the complexities of AI ethics, we explore the highlights of their career, challenges faced, and the future of AI technology. 

In this episode, we sit down with Kevin Wu, founder of Leaping AI, to explore how his team is building self-improving voice agents that go beyond scripted responses—and actually learn from every interaction.

Kevin shares the inside story of launching Leaping AI, the challenges of training conversational models in the real world, and what it takes to turn cutting-edge AI into a scalable, valuable product. We dive into the startup grind, the tech behind continuous learning in AI agents, and the real impact of voice automation across industries.

Whether you're an AI builder, founder, or just curious about where intelligent voice tech is headed—this conversation is packed with insights on turning bold ideas into smart, evolving products.