Applied XL raises $1.5M to build ‘editorial algorithms’ that track real-time data

24 Apr, 2021

Applied XL raises $1.5M to build ‘editorial algorithms’ that track real-time data
Photo by UX Indonesia on Unsplash

– Applied XL, a startup creating machine learning tools with what it describes as a journalistic lens, is announcing that it has raised $1.5m in seed funding.
– The company is led by CEO Francesco Marconi (previously R&D chief at The Wall Street Journal) and CTO Erin Riglin (former WSJ automation editor).
– The company started out by working on a number of different data and machine learning projects as it looked for product-market fit — but it’s now ready to focus on its first major industry, life sciences, with a product launching broadly this summer.
– The startup is compared to Bloomberg and Dow Jones, suggesting that just as those companies were able to collect and standardize financial data, Applied XL will do the same in a variety of other industries.

Business Information Systems Business Intelligence Information Technology Machine Learning News North America
Crunchbase icon

Content report

The following text will be sent to our editors: