French startup Riminder recently raised a $2.3 million funding round from various business angels, such as Xavier Niel, Jean-Baptiste Rudelle, Romain Niccoli, Franck Le Ouay, Dominique Vidal, Thibaud Elzière and Fred Potter. The company has been building a deep learning-powered tool to sort applications and resumes so you don’t have to. Riminder participated in TechCrunch’s Startup Battlefield.
Riminder won’t replace your HR department altogether, but it can help you save a ton of time when you’re a popular company. Let’s say you are looking for a mobile designer and you usually get hundreds or thousands of applications.
You can then integrate Riminder with your various channels to collect resumes from various sources. The startup then uses optical character recognition to turn PDFs, images, Word documents and more into text. Riminder then tries to understand all your job positions and turn raw text into useful data.
Finally, the service will rank the applications based on public data and internal data. The company has scraped the web and LinkedIn to understand usual career paths.
Existing HR solutions can integrate with Riminder using an API. This way, you could potentially use the same HR platform, but with Riminder’s smart filtering features.
With this initial sorting, your HR team can more easily get straight to the point and interview the top candidates on the list.
While it’s hard to evaluate algorithm bias, Riminder thinks that leveraging artificial intelligence for recruitment can help surface unusual candidates. You could come from a different country and have a different profile, but maybe you have the perfect past experience for a particular job. Riminder isn’t going to overlook those applications.
With today’s funding round, the company is opening an office in San Francisco to get some clients in the U.S.
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