Аннотация:High-tech startups face a number of insurmountable problems that prevent them from turning innovative ideas into new products. The article investigates the managerial aspects of commercialization and implementation of high-tech startups in Russia using the case of an automated computer vision analytical system for industrial poultry farming. Entrepreneurship theory and the concept of strategic management constitute the theoretical basis of the study. Among the research methods used in the paper are the POCD framework in combination with SWOT analysis involved in the formation of startup management strategies, as well as Sandelovsky and Barroso’s Meta-Synthesis method applied to identify factors that determine the successful implementation of a startup. The information base of the work was a bank of video data collected at the site of the Federal Scientific Center VNITIP RAS and covering the full life cycle of broiler chickens. A startup to implement machine vision technology for poultry companies was created in 2021 and is at the prototype testing stage. Among the main platforms - contenders for the first testing and scaling of the developed system, the Verkhnevolzhskaya Poultry Farm is considered. As a result of the analysis, three main sources of funding for high-tech start-ups in the field of machine vision systems for poultry farming were identified - the state, industrial corporations and venture capital. At the same time, none of the enterprises in this area, including world-class ones, has yet managed to reach the IPO stage. Two key areas for the launch and commercialization of a Russian start-up in the field of poultry farming are identified - association with developers of integrated digital solutions and / or integration with manufacturers. Recommendations are formulated regarding the implementation of a high-tech start-up: the formation of a public-private partnership, active interaction with research centers and universities, cooperation with business angels, expanding the entrepreneurial competencies of start-ups, clarifying the business model of the project. The mass introduction of machine vision technology in the poultry industry is possible due to the acceleration of technological progress and the elimination of the main obstacle – the high cost of components for these systems.