Saving the world from mainframes, legacy systems, and outdated infrastructure with ValonOS: the AI-native operating system for mortgage servicing

NY/SF
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👋 hello world. we're here to build a revolution in regulated finance. we hope you'll join us.
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Valon retweeted
Replying to @get_sphere
@Get_Sphere and @a16z are hosting Ground Truth: a half-day event for senior engineers building at the intersection of AI and regulation. Regulated spaces are the last layer of AI infrastructure yet to be unlocked. For good reason: they run on unstructured, contradictory and constantly moving rules. They exist as a reasoning problem, and reasoning is what AI made buildable. We're bringing together the people shipping in the space for lived insights on two technical topics: 1/ Reliability guarantees in production AI + human-in-the-loop design 2/ Compliance-as-a-moat With the engineers and technical leaders: - @Harvey: Abhishek Verma - @valon: Tamjid Rahman - @raindrop_ai: Zub - @Luminai: Vamsi Chitters - @Forus: Anirudh Jain - @Databricks: Conor B. Murphy + others to be announced Spots limited, RSVP via the link: groundtruth.getsphere.com/
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We use AI aggressively and have also turned off AI access for new (non-engineering) hires. Here’s why: 👇
An AI startup CEO says AI overuse increased costs and left colleagues cleaning up AI slop. Now, most new hires must learn the job without it. bit.ly/4zMa98D
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and it's never been a better time to join :). open roles at valon.ai
This is my new favorite mission statement: “saving the world from mainframes, legacy systems and outdated infrastructure” @xlindadu @wangandrewd @valon
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Valon retweeted
1/ Two weeks ago, we turned off AI access for every new non-engineering hire at @valon. That is a strange decision for a company at the frontier of AI adoption. It is also one of the biggest bets we can make on our people. valon.ai/blog/we-turned-off-…
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Valon retweeted
1/ Six months ago our design team pointed Claude at our Figma kit. It choked: 200,000 layers, inconsistent tokens. It gave up, screenshotted the kit, and guessed. That failure taught us what designing with AI actually is. valon.ai/blog/we-re-all-desi…
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Valon retweeted
Asked what he would build if he started over, Patrick Collison did not name an AI lab. He said he'd go for "the janky 1990s software" running whole industries nobody in the Valley will touch. 3 examples of this: 1) Vertical SaaS
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“Deployed engineer” shouldn’t be a buzzword. At Valon, our teams are actively deploying AI-native software across some of the most complex and regulated environments in finance. Want to learn more about the work and meet the team? Join us for a round of golf in NYC on the 13th. Register here: luma.com/mozklm4q
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Valon retweeted
pushing to prod on a Friday but at least we have unlimited Claude Code + Codex tokens and a coffee bar @valon
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welcome to the world of mortgage servicing 🧡
Welcome to the world of mortgage servicing! Asked DeepSeek V4 Pro to make a mortgage servicing themed romhack of Pokemon Red
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Welcome to the world of mortgage servicing! Asked DeepSeek V4 Pro to make a mortgage servicing themed romhack of Pokemon Red
Cooking up something fun as a test for DeepSeek V4 Pro
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Valon retweeted
we're using this in production. examples: - eng team loves a specific PM's PRDs? extract their taste, generate PRDs that read the same - AI gets the facts right but the output reads like slop. this fixes slop by anchoring to what "good" actually looks like - tested it across PRDs, process docs, and other domains. adds quality back in automatically the key insight: with AI its easy to get correct. the hard part is getting good. this is a system for bottling "good."
autoreason constructs taste from debate. but whose taste? the judges'. that's undirected optimization. what if you only need one golden doc? anchor to it. extract criteria. hill-climb. when the eval saturates, the gap reveals criteria no human would have thought to specify. extract again. repeat. debate uses a human-defined jury as the loss function. this RLs the loss function itself.
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Who let the dogs out? Who, who, who, who, who?
if your office dogs aren’t vibe coding you’re ngmi
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shipping PRs and hitting macros we're claude-maxxing and protein-maxxing >69,000 grams of protein consumed at our NYC office this year so far
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We built a pipeline that mines our PR review threads and turns the recurring patterns into automated review rules Convention nits from human reviewers dropped ~40% and shifted to design questions. Write-up here: valon.ai/blog/your-best-engi… Skill here: github.com/valon-technologie…
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+188 to what @kylebrussell said. (also the number of open roles we have rn). check them out here: valon.ai
If you were impacted by the Block layoffs, Valon is hiring across engineering, data, product, design, and operations valon.ai/about
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