Chicago, Illinois — January 2026 — As artificial intelligence reshapes hiring, workforce training, and early-career employment across the United States, career readiness has become a growing issue for both employers and job seekers. Companies in finance, technology, consulting, and advanced services increasingly expect candidates to show not only technical knowledge, but also structured communication, analytical thinking, adaptability, and the ability to perform under pressure. This shift has exposed a persistent gap in the labor market. Many candidates are qualified on paper, yet struggle to present their capabilities effectively during structured interviews, case discussions, behavioral assessments, and time-sensitive hiring processes. Access to high-quality preparation also remains uneven, often depending on private coaching, professional networks, alumni resources, or informal guidance.
Uru Technologies LLC, a Chicago-based technology company led by Gemma Sun, is addressing this gap through AI-powered workforce readiness and career preparation platforms. Sun serves as the company’s chief executive officer and product designer, leading product strategy, user experience design, platform direction, market positioning, and execution of AI-driven tools for career preparation and talent matching. The company’s flagship product, 66 Days Prep, was launched through Apple’s App Store ecosystem in late 2025. The platform helps users prepare for job applications and interviews through structured practice, progress tracking, preparation planning, and AI-assisted feedback. Instead of offering one-time coaching, the product is built around a continuous improvement model: users set goals, complete repeated preparation tasks, review performance, and adjust their strategy over time. Sun’s product direction came from direct experience in high-pressure professional hiring environments. During her time in investment banking at Mizuho Securities in New York, she observed that many candidates did not fall short because of limited ability, but because they lacked a repeatable method for organizing answers, framing business problems, and communicating clearly under pressure. She converted this observation into a product model centered on structured preparation, measurable improvement, and timely feedback. The product has already moved beyond the concept stage and achieved measurable market validation within approximately three to four months of launch. App Store Connect data shows that 66 Days Prep acquired more than 4,800 users in a single month, with approximately 198% growth. In a recent reporting period, the platform generated more than $10,000 in proceeds, with the majority of revenue originating from U.S. users. Since launch, it has reached approximately $20,100 in lifetime revenue. The platform also achieved an estimated 23.87% conversion rate, placing it above the 75th percentile among comparable education applications. An earlier App Store reporting period also showed strong initial traction. From December 7, 2025 to January 6, 2026, 66 Days Prep: Career Tracker recorded 4.84K app units, representing a 198% increase over the prior period. During the same period, the app generated 256 in-app purchases, up 374%, and reached $5.94K in sales, reflecting a 355% increase. Together, these figures show user adoption, revenue generation, paying-user conversion, and early willingness to pay for AI-assisted career preparation in the United States.
Early user feedback further supports the platform’s practical value. Users reported that the product provides structured and actionable feedback that is difficult to obtain through traditional preparation methods. One user described it as “the first time” they had received clear, real-time feedback on how to structure interview answers. Another said the platform helped them understand exactly what they were doing wrong and improve quickly. These responses suggest that the product addresses a specific weakness in interview preparation: candidates often know they need to improve, but lack concrete, timely, and repeatable guidance. The company’s execution is supported by a focused technical team. Sun works closely with her co-founder and technical lead, Jerry Ding, whom she previously worked with at Mizuho Securities. Ding oversees engineering and feature deployment, helping the team turn product requirements into scalable technical releases and iterate quickly based on user needs and market feedback. The broader importance of 66 Days Prep lies in its alignment with major U.S. workforce trends. Employers are placing greater emphasis on skills-based hiring, AI literacy, communication ability, and continuous learning. At the same time, early-career roles are becoming more competitive as AI changes job requirements and raises expectations for productivity, judgment, and adaptability. When qualified candidates fail to present their skills effectively, employers may overlook capable talent, hiring cycles may lengthen, and skilled labor may be underused. AI-assisted preparation tools can help reduce this friction by improving how candidates organize, practice, and demonstrate their abilities before entering formal hiring pipelines. Sun has also led additional technology initiatives beyond 66 Days Prep, including Uru, a platform focused on improving efficiency in the secondhand resale market through automation and cross-platform listing tools. This project further shows her ability to identify inefficient workflows and develop technology-driven solutions that reduce manual effort and support scalable operations.
In parallel, Sun has engaged with the broader U.S. startup ecosystem through efforts to collaborate with accelerators, connect with angel investors, and participate in venture and entrepreneurship initiatives within Northwestern University. These activities support continued product refinement, market validation, and potential scaling of the company’s platforms. Through 66 Days Prep, Gemma Sun has demonstrated the ability to design, build, launch, and commercialize an AI-powered workforce readiness product with measurable adoption, engagement, conversion, and revenue. Combined with her broader technology initiatives and startup ecosystem engagement, her work positions Uru Technologies within an emerging category of workforce technology focused on improving career readiness, expanding access to structured preparation, and strengthening high-skilled talent utilization in the United States.