Dr. D.

It fetches the resources and links where the data is from, so easier to show then describe here:)

Happy to share with you some examples. Do you have a set of 30-50 target companies? Happy to send over a loom. I can also come up with some companies of course.

Are these small, medium size, or public companies? We are gathering the data per account using LLMs for our FinTech Payment customers and it works quite well. But they use a set of different proxies and measures to correlate it with. How precise and accurate does the data need to be?

We have a scraping tool that scrapes office addresses from the website. Not sure if it would be helpful. But happy to share it pro bono if you send me the URLs. Also, I met a founder the other that has a database with people home addresses. But it would be a manual approach going through it one by one.

Rahul do you have the company names?

Our GTM AI leadership roundtables / monthly series in NYC and soon SF: https://lu.ma/user/desireejessica, next one is on Aug 13th.

To generate alpha it is always great to have data, including behavioral data using sophisticated prediction models. Happy to help, this is what we focus on at Loyee.ai. Its a technology I developed during my PhD for hedge funds and asset pricing 🙂 It's great to inform Clay what to look out for and how to penetrate the market fastest!

Hi Suman, always happy to be a resource. I founded the company Loyee.ai, and we are big on ICP definition:)