We are 4 enthusiastic people with various high-tech companies background, and would love to try something different. At the beginning, our plan was to create an AI interview tool and sell to different customers. But soon we realized that it doesn’t work, because many of our potential customers can develop by themselves, and unwilling to buy ours.

After conducting market research, we noticed that the gig economy aligns perfectly with our product. It involves a high volume of interviews, with less personalized or professional questions compared to white-collar roles, and a constant stream of candidates. This model ensures steady revenue, as we charge recruiters based on the number of interviews conducted.
At the time, manufacturing factories faced extremely high recruitment costs. Many built large in-house recruitment departments, renting office spaces for interviews, purchasing testing equipment, and hiring full-time interviewers to conduct repetitive, manual assessments. Others chose to outsource to RPO or BPO companies, which often resulted in complex processes, time-consuming coordination, high costs, and widespread issues like impersonation or plagiarism.

Our goal was to streamline this chaotic process and provide a scalable solution for companies hiring large volumes of short-term or freelance workers—often hundreds or even thousands per day—by automating interviews and improving efficiency through AI.