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How Valon Rebuilt a $13 Trillion Industry From Scratch

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Key takeaways

  • Mortgage industry remains one of the most unchanged sectors since the early 2000s, presenting a huge opportunity for technological overhaul.
  • Valon chose to build its own mortgage servicing platform from scratch within its own servicer to ensure alignment with regulations and to foster innovation.
  • Transforming decades of regulation into a flexible, code-based system of record was a complex and rigorous process that involved extensive study and manual annotation.
  • Demonstrating operational safety and efficiency through their own loans helped Valon gain industry trust and expand rapidly.
  • Modern AI capabilities allow for automating and orchestrating complex workflows, making servicing more personalized, efficient, and adaptive.
  • Deploying new technology into large, regulated enterprises is as much about change management as it is about the technology itself.
  • The company's broader vision extends beyond mortgages to other sectors like commercial real estate and healthcare, leveraging servicing infrastructure for various industries.
  • The mission-driven approach of fixing fundamental infrastructure appeals to talent and provides a compelling purpose beyond profit.

Summary

Introduction to Valon's Market Opportunity and Infrastructure Goals

The episode opens with a discussion on the mortgage industry, highlighting its status as one of the top three industries that has remained largely unchanged technologically since the 2000s. Linda Dew explains that the $13 trillion consumer debt market still runs on legacy systems predating the internet, creating a massive opportunity for disruption. Valin is aiming to rethink this infrastructure by building systems capable of continuous learning and AI integration, tailored to customer-specific needs. Angela Strange sets the context for the episode, emphasizing the scope of the challenge and the importance of modernization in such a heavily regulated space.

Andrew Wang’s Journey into Mortgage and Systemic Challenges

Andrew Wang recounts his initial interest in finance rooted in math, specifically stochastic calculus related to mortgages. His real motivation came from system inefficiencies he encountered working at Soros, where reconciliation errors in mortgage data made him realize the need for better infrastructure. This personal pain led him toward understanding how to build improved systems for mortgage servicing, sparking his involvement in fixing legacy problems.

The State of Mortgage Servicing Industry Before Valon

Linda Dew describes the mortgage industry as incredibly old-fashioned, with most of the $13 trillion consumer debt still managed by a single incumbent whose systems date back to before the internet era. She emphasizes that replacing these outdated systems is daunting; it involves massive enterprise deployments, training thousands of employees, and replacing core operations—the kind of transformation that only a few have attempted successfully. She stresses how the industry’s technological stagnation offers a significant market value for innovation.

Valon’s Entry and Building from Scratch in a Regulated Industry

Valin decided to build from scratch due to the limitations of traditional approaches—simply deploying new software into incumbents or buying existing platforms. The founders chose to start their own mortgage servicer, allowing them to develop technology aligned with regulatory requirements while scaling organically. Dew details how they navigated the complex licensing process, which involved years of regulatory approval, and how they meticulously translated regulation into code. This approach allowed Valon to control the platform’s evolution and demonstrate its capabilities through its own loans before expanding industry-wide.

Regulatory Challenges and Building the System of Record

The speakers discuss the complexity of converting decades of mortgage regulation into an operational platform. Dew explains their rigorous process of studying federal and state laws, annotating and translating thousands of pages into a flexible architecture. This effort was intense, including a notable period spent during COVID reading and coding regulations. Their achievement is creating a regulatory framework that can adapt dynamically to changing laws, enabling a reliable system of record crucial for effective servicing.

Getting Industry Buy-In and Initial Deployment

Valon’s growth was driven by its operational excellence—demonstrating the platform’s safety and efficiency through their own servicing. They competed in the market by lowering costs and improving margins, which attracted attention from major industry players. Dew highlights how their pricing and performance convinced large asset managers and lenders to consider transferring loans to Valon’s system. The company’s success in managing around $200 billion in loans during pilot phases helped establish credibility.

Changing the Industry and Value of the Mission-Driven Approach

The hosts and founders emphasize their purpose: to fundamentally change mortgage servicing infrastructure, not just build a profitable company. Dew notes that their long-term mission is to fix the broken legacy systems and improve customer experiences. This mission-oriented philosophy attracts talent and motivates the team to develop innovative AI-powered solutions, such as agents handling complex workflows and personalized customer interactions, transforming the industry into a more efficient and customer-centric space.

Broader Implications and Future Opportunities in Servicing and AI

The episode concludes with Dew and Wang discussing the broader potential of their platform beyond mortgages. They outline opportunities in commercial real estate, healthcare revenue cycle management, and other regulated industries, emphasizing that servicing is a fundamental function underpinning many sectors. Dew highlights their vision of turning servicing into a tool for ongoing customer engagement, such as building relationships through regular contact—something previously unthinkable. They also touch on the technical challenges of deploying AI in enterprise environments and the importance of change management, not just technology, to succeed in legacy industries.

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Show notes

a16z General Partner Angela Strange sits down with Valon’s Andrew Wang and Linda Du to unpack what it takes to rebuild the infrastructure underneath a $13 trillion mortgage market that still relies heavily on systems designed before the internet.

Linda and Andrew explain why Valon chose the hardest path: becoming a regulated mortgage servicer, translating decades of federal and state regulation into software, and proving the platform on its own loans before selling it to the industry. That foundation made Valon roughly three times as efficient as traditional servicing and created the system of record it is now using to bring AI into complex mortgage workflows. They also discuss what AI makes possible on top of that infrastructure, from agents handling long-tail servicing tasks to voice interfaces and more personalized customer experiences. And they explain why deploying the technology into large regulated enterprises is ultimately as much a change-management challenge as a technical one. 


Resources:

Follow Angela Strange: https://x.com/astrange

Follow Andrew Wang: https://www.linkedin.com/in/wangandrewd

Follow Linda Du: https://www.linkedin.com/in/xlindadu/

Learn more about Valon: https://valon.com

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