Yesterday we hosted a wonderful happy hour 🍻 in NYC with @get_tabs.
It was *packed* - we had 500+ signups, had to implement a waitlist, and the bar was full!
Every attendee was an AI builder. It was awesome to see how folks were both building their own startups or working at early stage companies across finance, insurance, healthcare, legal, and more. The NYC startup scene is great (and it’s refreshing to see the vertical application focus here vs SF)
If you’re an engineer looking for roles at a fast-growing AI startup, or a founder looking to automate your billing/revrec, check out @get_tabs :)
If you’re building in finance/insurance/healthcare/any industry with a lot of paperwork, and need reliable high-quality document OCR, check out LlamaParse by @llama_index! 📑
Also L’Industrie pizza is great 🍕
Yesterday we gave an in-person NYC workshop on automating your financial document ingestion pipelines with AI.
If you're an investment bank, accounting team, finance AI startup, fintech company, and you're processing a massive amount of consumer/regulatory/public financial paperwork at scale - you might find these resources useful!
@LoganMarkewich built a full set of tutorials showing how you can stitch together VLM-enabled document parsing with schemas and business logic into an e2e workflow. This is both much more accurate than existing OCR solutions in extracting out data with much less human review, and can be easily stitched together with your downstream agent applications.
Check it out: https://github.com/logan-markewich/finparse-pipeline
If you're interested in VLM-powered doc processing, come check out LlamaParse: https://cloud.llamaindex.ai/
