Rnest is a piece of software that helps to resolve problems using internet data. Philippe Charlot, its founder, started with a simple fact: 90% of information useful for deci s ion-making i s avai l able on the internet. Yet finding the right information is particularly complicated: sources are innumerable, traditional searches refer to only a limited number of results and the time necessary to read, understand and summarise the web pages presents a significant obstacle. When faced with an issue, a user will typically ask a question on a major search engine (Google, Bing, Quant or Yahoo to name only the largest of them) or, for the more enlightened, on monitoring software (Quid, Palantir, Digimind or Amplyfi). These search engines and pieces of software search for keywords in web pages, on predefined sources and for almost zero productivity.
However, thanks to Rnest, the user can make a request for which the software will undertake a precise exploration of the internet in a URL, in hypertext or even in nearby text and will proceed to validate the pages visited precisely at phrase level (not just page level). This gives a result that is much more precise and relevant. Rnest is capable of exploring almost 250,000 web pages in a few hours. The software is also capable of proposing a problematised summary note in response to the initial request.
‘Find out what nobody knows yet, just with what you know’, Rnest promises. After formulating his or her question, no matter how complicated, the user initiates the search, and Rnest explores the web in real time to extract the most relevant content.
This artificial intelligence, made in France, navigates the web fully independently, is inspired by human behaviour and fulfils extremely varied needs across all sectors of activity. For example, based on the question ‘what are the innovation strategies of the top 200 French companies?’, Rnest will visit one million web pages, effectively saving the equivalent of 833 days of reading.
Among its first clients are BNP Paribas, Bouygues Télécom, Total, EDF and now Accuracy. Indeed, Accuracy will benefit from Rnest’s power in Open Source to enrich its advisory services to its clients.