AI built for the rigor of finance.
Joined September 2020
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Proud to partner with @AfterQuery and @nvidia to build more efficient models for investors with our credit expertise.
@AfterQuery just moved an open model past the cost-accuracy frontier in finance.
We post-trained @NVIDIAAI Nemotron 3.5 Super VL on expert credit tasks with @hebbia.
Perfect solved: 47% to 74%. That beats Sol 6, and lands within 3 points of Astra 6, at about 1/7 the cost.
Link to the full case study in replies.
Hebbia is partnering with @OctusCredit to bring credit intelligence into the platform where credit teams already work.
Screen credits, monitor portfolios, and track restructurings, with every answer cited to the source.
Link in comments.
Hebbia retweeted
woke up to see hebbia design featured in @FastCompany!!
thought i'd share some process for designing max. when we set out to design our harness, we had a ton of ambiguity:
- is a character appropriate for finance?
- should it be anthropomorphic ?
- should it be cute in case it fucks up?
- did it make sense for our brand?
- is it going to clutter the interface?
not to mention our early prototypes literally crashed browsers. the metallic inspo we took from TARS and watch design was heavyyy to process.
so why chase it? it would be easier and faster to just... ship without it. our intuition said giving the experience the extra touch would pay off, and where many eng teams might've just ripped it out and moved on if it was crashing browsers—ours doubled down.
early testing showed that not only was the product a massive improvement, but max gave customers a mental and visual anchor to speak to. they perceived max as trustworthy, and also loved fidgeting with it on our home page (lmao).
5 months later & here’s where we are:
- retention is at an all time high
- brand sentiment is at an all time high
- customers refer to max by name
- we have a new core element to build our product and brand upon
now there’s a new set of questions:
- do people in finance want an army or just one max?
- will people still love it in a year?
- what is the shelf life of maximalism?
takeaways thus far:
1. one of the most exciting things about being a designer today is that ai flattens disciplines. product, brand, animation, & marketing can all coexist and compound user experiences in ways that were too expensive to explore even a year ago.
2. this is not revolutionary in any way, but getting obsessed with our industry, its history, and our customers let us craft something that is uniquely ours in a time where cloning is rampant and the tech industry’s conflation of efficiency and minimalism has diminished opinionated design.
we’ll share a full brand case next week.
cheers.
Hebbia retweeted
It’s not just about having a record quarter, it’s also who you do it with. Proud of team @hebbia
Hebbia retweeted
Every startup says they have the best team. We looked at the data.
@paraformtalent’s Talent Density Index ranks which companies attract, develop and retain the people the market values most.
The latest edition is live.
New Top 50: paraform.com/talent-density-…
Hebbia retweeted
It's October, just in time for our THIRD major product launch these last few months!
Introducing “Headless Hebbia”
Our Matrix, Knowledge Graph, and Process Graph products now accessible via MCP or API... to power Claude, ChatGPT, Copilot, or internal builds with your institutional intelligence.
Opus 5.5 is a major step up over Opus 5.
Our evals show it covers most of what our expert rubrics look for on end-to-end finance workflows.
On retrieval evals, Opus 5.5 hit our best citation recall to date, with better token efficiency to keep cost in check.
For teams running document-heavy research and citation-dependent workflows, this is the clearest jump we've measured between model versions.
In the span of a few weeks, AI has attacked one of math’s hardest problems, broken into systems built to contain it, and designed potential new cancer treatments.
When will AI beat the markets?
The next trillion dollar prize is staring the labs in the face...
Astra set a new high in our evals: it produced the best decks we've tested and followed the brief 17% more faithfully than the next-best model, while sourcing its claims to the right document 19% more often. For analysts working through dense financial materials, that means decks and answers you can hand to a client and defend line by line.
We had a busy summer of product ships.
We launched Max, Matrix 2.0, and a wave of platform upgrades.
Read the latest edition of The Disclosure: bit.ly/September_Disclosure
Hebbia retweeted
So PROUD of the @Hebbia team for today's Matrix 2.0 launch.
Customer love grows every day... best feeling there is!