When speaking with industry veterans, we’ve gained key insights into the scale of hiring challenges. To fill just one position, recruitment teams typically screen around 10 candidates—a 10x pipeline—which translates into 10x the number of interviews. For a company hiring 1,000 employees per year, this means conducting 10,000 initial interviews—a resource-intensive process that extends time-to-hire and significantly increases costs. Now, imagine an organization looking to hire 10,000 employees—they would need to screen 100,000 candidates. For 25,000 hires, that number rises to 250,000 interviews. This is an exponential problem as Hiring is slow, costly, and biased, still reliant on outdated methods that fail to provide real-time insights into candidate skills and fit. These inefficiencies are especially painful in industries with high compliance needs or large-scale hiring demands.

At Voece AI, we are an AI-first organization leveraging deep technology to revolutionize the recruitment process. Our platform utilizes advanced artificial intelligence and machine learning algorithms to conduct live, adaptive 24*7 interviews, closely mimicking human interaction. This innovation not only streamlines the hiring process but also ensures a consistent and unbiased evaluation process, aligning with the innovative spirit of deep tech initiatives. With our AI Recruiter solution, we help in eliminating scheduling conflicts, reducing bias, and drastically cutting down hiring time. By automating the initial interview process, we help companies save over 70% in hiring costs while improving efficiency at scale. Voece AI transforms recruitment with human-like AI interviews, automating screening, removing bias, and delivering real-time insights. The result? Faster, fairer, and more cost-effective hiring—built for scale.