aiden brotman
42 posts

aiden brotman
@brotdog
turning documents into data extend: https://t.co/eucrKHY6sg
New York, NY Katılım Ocak 2020
47 Takip Edilen26 Takipçiler

I’m excited to share that Hadrius has raised a $22M Series A. This brings our total funding to $27M
We’re building agentic compliance for financial services, starting with investment advisors and broker-dealers
We're already powering most of the fastest-growing fintech RIAs, as well as some of the largest broker-dealers in the world

English
aiden brotman retweetledi

bitcoin ethereum dogecoin litecoin dogecoin dogecoin dogecoin

Mrpunk.eth@mrpunkdoteth
What are we buying on Robinhood
English

me when i find empty shit in the fridge
Samay@Samaytwt
This is how Apple search engine works btw.
English
aiden brotman retweetledi

just packed up the office where Extend grew from 6 → ~30 people
I found a picture from day 1 when we were assembling chairs and desks together on the empty floor
today, we could barely fit everyone in the room for one last photo
onto the next chapter: a full floor in bright and sunny union square
office warming party soon!

English

#NYC #fintech - this one's for you!👏
next Tuesday, we're hosting a rooftop mixer with @RutterAPI and @useOrb, bringing together engineers, PMs, founders & builders from 50+ financial infra teams.
if you enjoy great convos, cold drinks, and insane Empire State Building views, RSVP in the comments ↓
See you on the roof! 📷📷🌆🥂

English

We’re excited to introduce Taste Labs.
Our mission is to end AI slop. We’re building the data and infrastructure layer to give AI models and agents taste.
And today we’re coming out of stealth, announcing our $18.5M seed funding, co-led by @CRV and @AmplifyPartners
AI has nailed objective domains and made it easy to generate anything. But it still feels off. Now, the challenge is judgement. What fits, what feels like you, what’s GREAT. This requires turning a fuzzy, subjective domain into something we can measure and codify. We’re starting with design.
There are two sides to cracking this, the foundation model layer and the agent layer:
- We’ve already been working with the top frontier labs to evaluate and improve their models, crafting the right post-training data and RL environments.
- We’ve also been working with app-layer companies to build the context and verification tools for their agents to produce better, more on-brand, more creative outputs.
We want a future where AI feels right.
If you’re passionate about this mission, join us!
English

@emily_yuan_ @UseCorgi the liability question is exactly where doc accuracy becomes non-negotiable, one misread field on a claim or policy doc and the downstream consequences are real
English

Imagine getting sued because your AI agent messes up.
That's why we built AI coverage at @UseCorgi to help cover new types of risks that AI is creating during this technological shift.
We give our AI agents a lot of autonomy today (e.g. pushing code to production, talking to customers, processing payments). And sometimes, they get things wrong.
English










