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Valon

Valon

Software Development

New York, NY 16,621 followers

The AI-native operating system for mortgage servicing. Building a better foundation for the American Dream.

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About us

Valon: the AI-native operating system for mortgage servicing. Building a better foundation for the American Dream. A New Foundation for Complex, Regulated Workflows Mortgage servicing is core infrastructure for the U.S. economy, underpinning the American Dream of owning a home, yet it relies on software that pre-dates the creation of the internet. Valon built a system of record that unifies workflows, data, and money movement into a single, coherent platform. The result is software that scales with complexity instead of collapsing under it. There are $100B+ in mortgages on the platform. $230M raised to date. And ValonOS has 3x lower servicing cost with +30% higher customer satisfaction (compared to industry averages). If you’re energized by solving the hardest problems, moving fast without breaking trust, and finding joy in cracking what others will not touch, come work at Valon.

Website
https://www.valon.ai/
Industry
Software Development
Company size
201-500 employees
Headquarters
New York, NY
Type
Privately Held
Founded
2019
Specialties
fintech, consumertech, software, Agentic AI, system of record, and AI

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Employees at Valon

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Updates

  • View organization page for Valon
    Valon

    16,621 followers

    What's it like working at the intersection of AI and regulation? Tamjid Rahman has spent the last 2 years living this reality and will be sharing his experience at the Ground Truth conference in SF. Some open spots if you're curious to learn more!

    View profile for Tamjid Rahman
    Tamjid Rahman

    I'll be a panelist at Ground Truth, a half-day conference hosted by Sphere x Andreessen Horowitz, on September 17th in SF. We still have a few open seats. If you're building in regulated, high-stakes environments, apply here: https://lnkd.in/g-WgYRas More on Ground Truth: For senior engineers working at the intersection of AI x regulation. Two technical panels: (1) Reliability guarantees in production AI and human-in-the-loop design and (2) Compliance as a moat On the second panel, I'll share how I'm seeing compliance requirements reposture from cost center to moat, and how truly grokking your domain is becoming more important, not less! I'm excited to learn from fellow engineers hailing from the likes of Harvey, Luminai, Databricks, Raindrop, and other teams shipping AI where the stakes are high.

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  • View organization page for Valon
    Valon

    16,621 followers

    A few weeks ago, we turned off AI access for (most) new hires. We use AI aggressively at Valon. But people need to understand the work first; in mortgage servicing, that means building enough judgment to question and verify the output. Thanks to Sarah E. Needleman K. and Business Insider for covering the decision.

  • View organization page for Valon
    Valon

    16,621 followers

    We turned off AI access for new (non-engineering) hires. We use AI aggressively and expect folks to learn the shape of the problem before they use AI to solve it. In mortgage servicing, that means getting into the details, learning how the systems work, and building enough judgment to question and verify the output. Andrew W. explains why we made this decision and how we’re rethinking the way people ramp at Valon.

    View profile for Andrew W.
    Andrew W.

    Two weeks ago, we turned off AI access for every new non-engineering hire at Valon. That is a weird decision for a company at the frontier of AI adoption, even though our experienced employees have become extraordinarily fast with it. With deep context, they now solve in 20 minutes what used to take hours or days. That is exactly the problem. Those difficult handoffs were our apprenticeship model. New employees learned mortgage servicing by debugging reconciliation errors and tracing edge cases. Now experienced people can do the work faster than they can delegate it, while new employees can produce answers that are perhaps 95% right before they know enough to recognize the 5% that is wrong. Candidly, turning off access is crude and temporary. Access now begins when a manager can attest that a new employee knows enough to question the model and verify its work. The goal is not less AI. It is AI that strengthens judgment instead of replacing the experiences that create it. We are investing in compounding people. Full post in the comments.

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  • View organization page for Valon
    Valon

    16,621 followers

    Our design team stopped asking "how do we connect Figma to the codebase" and started asking a better question: "what's the highest-leverage thing a design team does when models can produce the pixels?" Their answer: the thinking. The design system is now 'rules in markdown', context shaped for the models and the designers are climbing the stack from pixels to strategy. A candid conversation with the team on what worked, what didn't (early prototypes created more noise than alignment), and what's next. https://lnkd.in/gwqn8B-B

  • View organization page for Valon
    Valon

    16,621 followers

    Today marks an important transition for Valon. After years of operating a mortgage servicer ourselves, we are now a technology company, fully focused on building the software that other servicers can use. We took the long road to build ValonOS. We operated a mortgage servicer ourselves because the software had to work in the real world: across payments, escrow, borrower assistance, investor requirements, compliance, and the edge cases that never show up in a demo. Carrington Mortgage Services, LLC has also adopted ValonOS as its core servicing platform. Carrington is a leading specialist in Ginnie Mae servicing, and following its acquisition of Valon Mortgage, its combined servicing platform is expected to approach 2 million loans. Carrington spent real time with ValonOS, asked hard questions, and saw firsthand how it handles the complexity of government servicing. Their operating experience will make the platform stronger. To the Valon Mortgage team: you built the operation that proved the technology. The platform you helped shape and the borrowers you serve are both stronger for it. We are grateful for everything you built and excited for your next chapter with Carrington! For Valon, our next chapter is about building better software for mortgage servicing. This work matters because servicing is part of the foundation of the American Dream: helping people make payments, navigate hardship, and stay connected to their homes. If you like solving the hardest problems that others run away from, we’re hiring across Eng, Product, and Deployment. Come join us: valon.ai

  • Valon reposted this

    View profile for Simon Taylor
    Simon Taylor Simon Taylor is an Influencer

    🚨 FINTECH NERDON Speaker Drop // Part 1 🎮 The co-founder of Chime. The co-founder & CEO of Mercury. The CEO of Figure. The co-founder & president of Valon. The president & CEO of the Financial Technology Association. Plus leaders from Plaid, Gusto, Ava Labs, Navan, Forward Financing, OnePay, Bretton AI, Flourish, Banco Plata and Net Interest. --- I started Nerdcon because when you put builders in a room, the conversation changes. People get real. Say the quiet part out loud. So the sessions match: - Chime on building your own core banking system - Figure on building the 21st century competitor to Fannie Mae - Plaid's CTO on the AI ideas they're cooking - Marc Rubinstein bringing a capital markets lens to fintech for the first time on our stage Everyone on this card has shipped the thing they'll talk about. That's the bar for a Nerdcon stage. --- San Diego. November 19 and 20. Part 2 drops shortly. Tickets: https://lnkd.in/grMdQdWs Who do you want to see on the Part 2 card? 👇

  • Valon reposted this

    View profile for Linda Du
    Linda Du

    It was great chatting with Michael B. Tannenbaum on the inaugural episode of Figure's new podcast, Unblocked, to talk about rebuilding the infrastructure behind the American mortgage. The largest problems to solve are often hiding in plain sight. We talked about why we picked mortgage, a huge market sitting on decades-old technology that most founders wouldn’t touch. We got into why Valon had to become a servicer ourselves to earn the right to sell the software, and why the real value to be created with AI over the next few years is in deploying it into large enterprises, not in building the models. Full episode in the comments.

  • View organization page for Valon
    Valon

    16,621 followers

    We’re hosting two events at Valon’s SF office next week. Tuesday, June 16 | 5-8pm We’re bringing together product leaders and operators for an invite-only discussion on what it actually takes to build an AI-native product org right now. We’ll talk about how the PM role is changing, what good hiring looks like today, and the contrarian case for more junior hires. There will be drinks, light bites, and a build-your-own terrarium bar on the terrace. Wednesday, June 17 | 5pm We’re hosting Demomaxxing @ Valon. 10 demos from builders showing what they’re working on, plus a hand-picked group of investors in the room. Submit to demo, or come meet other builders. Space is limited. Link to RSVP in the comments!

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