Today we announced a $150M Series D at $2.3B, welcoming @RibbitCapital as a new investor and continued participation from @a16z, and others. Within 6 months of bringing ValonOS to market, we closed over $200m in contracted ARR, and ValonOS will power 1 in 6 mortgages in America. If you want to work on hard problems that matter, we're hiring across all teams in NYC, SF, and remotely.
.@Valon just raised a $150M Series D at a $2.3B valuation. Within six months of selling software, they signed over $200M in deals.
(And they're hiring!)
How the seven-year-old company got there:
- Mortgage is $13 trillion of consumer debt running on a system built before the internet, and no servicer will trust a new platform. So Valon became one.
- Co-founder Andrew Wang read every federal and state regulation, 18 hours a day for six months, and turned it into code.
- They ran their own servicer on the software until it hit 3x the industry's efficiency, sold that servicer to a larger mortgage company, and now sell the software to everyone else. One of the biggest servicers in the US is moving 4 million loans onto it, nearly 10% of the market.
Valon is hiring deployment strategists in NY and SF. Read more about their open roles: https://t.co/ZdA0AsffSZ
@xlindadu@wangandrewd
Yesterday, @xlindadu and I announced Valon’s $150M Series D. Forbes profiled our journey and what we think a world with AI agents looks like for the mortgage industry. Thank you, @zoyahasansoomro, for telling our story!
https://t.co/azkEfo9TPx
Today we announced a $150M Series D at $2.3B, welcoming @RibbitCapital as a new investor and continued participation from @a16z, and others. Within 6 months of bringing ValonOS to market, we closed over $200m in contracted ARR, and ValonOS will power 1 in 6 mortgages in America. If you want to work on hard problems that matter, we're hiring across all teams in NYC, SF, and remotely.
@RibbitCapital@a16z Read more from our founders @wangandrewd and
@xlindadu about how we're deploying ValonOS and AI to the mortgage industry: https://t.co/WXIoC0byNe
@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: https://t.co/0ptkmCCffK
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. https://t.co/BAX2owmQj4
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.
https://t.co/NDvFLHGH8Q