[OliverWales]

Yes, I would definitely put Arva in that category.

For now, we limit the amount of decisioning that is made by an LLM and make as much of the business logic as we can concrete in code. It's mostly used to extract information from documents, crawl websites and identify specific fraud signals.

[threeseed]

So what you're saying is that you could've done this startup a decade ago without LLMs using traditional NLP and ML techniques. Or even just with straight up procedural code, OCR and a rules engine. Especially since as you say everything you're dealing with is highly structured.

I work at a bank and everything you mentioned was solved many, many years ago. So the more interesting question then is why are fintechs still using manual techniques despite having the capability to automate it.

[rhimshah]

Not quite!

Fintechs often still have humans review docs, websites, perform web due diligence etc. Efficacy has vastly improved at these validation steps with the assistance of LLMs.

Interesting to hear that your previous bank has automated all of low/medium risk already, from what we have seen more traditional banks are far behind fintechs and are more risk averse in using new technologies. Nice to see that's not the case with all traditional banks.

[Lionga]

They do use automation, OP is just straight up clueless.

[zebomon]

Very cool! Congratulations on the launch, and best of luck to you!

[OliverWales]

Thanks!