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.
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
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.
https://t.co/6ewjhjeaYr
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