Widely used in retail to monitor competitors' prices, data scraping is finding new uses. The data collected by these robots can be used both to integrate data between systems and to power AI.
Stabler Technologies (aka Stabler.tech) was born from the meeting between Romain Hévin, ex-Fortinet and Orange Business Services, Anis Gandoura, former senior lead developer at Veepee, and Paul Mouginot, artist and scientific advisor to the Fédération de la Haute Couture and Fashion. The technology developed by the start-up aims to perform extraction on millions of sources to, for example, train an LLM. “Stabler is an industrial extractor of industrial data,” summarizes Romain Hévin. Our mission is to provide the technological building block that will allow companies to create their own ChatGPT. » This is how Imki.tech used Stabler to train generative AI on photos from thousands of fashion sites. Today she helps The Kooples designers in the creation of their collections.
If Stabler.tech rides the wave of generative AI to promote its technology, it can be implemented in many other processes. Online betting sites use it to collect data in order to develop odds, retailers extract data three times a day to obtain the prices charged by their competitors, …
Tech
Canada
