Hector Fioretos, founder of the newly established AI company Wayless, aims to help biomedical researchers navigate the vast sea of scientific articles. By combining advanced AI language models with an understanding of researchers’ needs, the company is developing an app designed to simplify finding relevant scientific articles.
Wayless is led by 20-year-old Hector Fioretos, who is working toward launching an early app version soon.
Since September, we’ve been working on the idea, and we estimate that an early version of the app will be ready by January for customer testing. We are three co-founders—two programmers and myself, managing the business side,” says Hector Fioretos, CEO of Wayless.
The app is designed to search peer-reviewed articles in PubMed, the world’s largest medical database, containing over 30 million references to journal articles. The results will include proper citations.
The app will be offered as a subscription service. In the future, we could add more databases. For comparison, ChatGPT also uses language models but searches broadly across the entire internet. It doesn’t always provide accurate answers and sometimes includes references that don’t exist,” explains Hector, adding:
We want to help researchers save time. They read extensively to find answers to their scientific questions. PubMed’s current search function is keyword-based and often generates thousands of hits, many of which are irrelevant. With our app, researchers can type in a question and get an automated response with references. They’ll have a personalized library of articles and better control over their sources.”
Hector Fioretos isn’t worried about significant competition at the moment.
There are similar search engines in the U.S., but they are too broad. We believe our app will appeal to students and researchers in both academia and industry,” says Hector Fioretos.
This article is a translation from Rapidus’ article by Elisabeth Ottoson.Â
