Filtering through potential leads on crunchbase, PitchBook, etc. is a huge effort for any investor. Startups tag themselves as #ai, #blockchain, #socialimpact etc. to appeal to VCs.
But when searching for companies, you are not looking for buzzwords. Plainly exporting filtered lists leads to significant noise.
Is AI actually at the core of the startup's offering, or did they just choose that category to become relevant for investors? Are you looking at a company or merely an idea or research project?
Often times the description offers a better indication if startups match your investment scope, but who has the time to read through all of them? Interns maybe.
Instead, Levity can do that work for you. Bring your own data or quickly tag our sample dataset to train a text classifier according to your personal investment scope.
Build a simple "in scope" vs. "out of scope" classifier in less than an hour or create custom categories for lead scoring and automated outreach – based on your own data.