RAZUR

RAZUR was hired by a beauty software development company to develop an AI-based shade finder. The goal was to accurately match beauty products to a customer's skintone using a profile photo. The RAZUR team, consisting of four senior level engineers, was chosen for their visionary approach and clear communication skills. They started with a discovery phase, followed by wireframes and a MVP prototype. The first beta product was launched using technologies such as Node.js, Tensorflow, Python and other proprietary technology.

For the data management software company, Metatate, RAZUR was tasked with tech strategy, supervising the build of the first version of the product, and providing UX/UI consulting. The company chose RAZUR due to their affordable pricing, cultural fit, and value for cost. The scope of work included oversight and execution of enterprise data platform development, spanning front end, backend/DevOps, and UI/UX.

Fincast, a consumer technology firm, hired RAZUR for product design, MVP architecture, and team management. The CEO of Fincast chose RAZUR due to a personal relationship and trust. The project involved one employee from RAZUR who was responsible for designing, developing, and launching the product MVP. They also recruited, hired, and managed the development team, established best practices and development standards, and managed scrums, sprints, and project management.