What’s Next for Sales Training? Inside Hyperbound’s AI-Driven Approach With Co-Founder Sai Guduguntla

What’s Next for Sales Training? Inside Hyperbound’s AI-Driven Approach With Co-Founder Sai Guduguntla

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!

Title: Blending Sales, Product & AI: A New Era of Go-to-Market with Jonathan Fritz

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.

The Problem with Geospatial Tech (and Why It's Not Just a Map)

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.

AI Agents in Finance: Risk, Governance & Accountability with Yiannis Antoniou

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 [http://www.lydatum.com]

When Simplicity Becomes Revolutionary: Emily Smith's Vision for Inclusive Tech

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.