Emi Labs

About Emi Labs

Emi Labs provides a recruitment automation platform specifically engineered for the high-volume hiring needs of frontline workers. The company was founded in 2017 by Mateo Cavasotto (CEO) and Andrés Arslanian (CTO) in Buenos Aires, Argentina. The founders' journey began while volunteering for a micro-credit NGO in Argentina, where they identified the challenges digitally underserved populations faced in accessing professional opportunities. This experience led them to create a chat-based solution to help individuals document their work history, which eventually evolved into the B2B platform Emi Labs is today after identifying a corresponding need from companies with massive hiring requirements.

The company's core business revolves around a Software as a Service (SaaS) model, offering an AI-powered platform that automates the entire recruitment lifecycle for its clients. This platform is designed to serve large enterprises in sectors such as retail, logistics, food services, and industrial manufacturing. Global brands like Walmart, Burger King, Heineken, and OXXO use the service to streamline their hiring processes. Revenue is generated by providing these enterprises with tools that shorten hiring times, enhance recruiter productivity, and improve the candidate experience.

Emi's product operates through a conversational AI interface, engaging candidates on accessible chat applications like WhatsApp and Facebook Messenger. Key features include intelligent candidate screening and filtering using AI, automated interview scheduling, geolocation, digital document collection, and personalized onboarding. The platform also provides detailed, real-time analytics and customizable dashboards for HR teams to make data-informed decisions. A significant selling point is its ability to integrate seamlessly with existing HR technology stacks, such as SAP SuccessFactors, ensuring smooth adoption and data consistency. By automating repetitive tasks, Emi allows recruiters to focus on qualified candidates, which has been shown to reduce time-to-hire and improve retention rates.