See something missing or want to suggest a feature or want to colloborate?
Please contact us at [email protected] and include the url of the page you were on.
Every single company that has filed with the SEC since 1995, this also includes overseas companies such as SAP, Alibaba and companies that went bust such as Enron.
Yes, we would love to work on process that can do that at scale. Using OpenAI's latest o1 and o3 models, we can do a lot that than what is possible with the faster models; these largely work on the surface. If one has the entire dataset indexed and ready to go, as we do, a lot more is possible, with more compute/iterations. For example, Sector wide reports, Sellside reports for undercovered companies, Excel models that build on existing statements are all very doable.
We don't really have plans to make a plug and play api at the moment, but we can provide a custom api if it's worth the effort.
We process filings as they come in, and during peak times during earnings season, it can take upto 15 minutes filing to appear. We are working on improving this. If you still don't see it, You can drop us an email and we shall fix that for you.
Claude + 1 ; The backend is postgres with about 15 mio rows, azure storage with more than 100 mio files and cron jobs for updating filings, tickers, transcripts as they come in and a combination of the large LLM apis. The front end is a remix/nodejs stack. Most code is JS/python. If you have any ideas on selling or building or colloborating, please get in touch :)