Seerene
René Freude is the Head of Engineering at Seerene. René has over 10 years of experience in software development and management. Prior to joining Seerene, they were the Head of Department and Head of Product Development at SPRYLAB Technologies GmbH. There, they managed a team of software developers and was responsible for project management, product development, roadmap planning, stakeholder management, and customer communication. Before that, they worked as a software developer at Carmeq GmbH, where they developed software tools and methods for model-based system and software development. René also completed a Master's thesis on the usage of model transformations in the development of automotive software systems. Freude began their career as an intern at Daimler AG in 2002 and has since gained extensive experience in the automotive industry.
René Freude has a Master of Science in IT-Systems Engineering from the Hasso Plattner Institute and a Dipl. Inf. (FH) in Medieninformatik from Berlin University of Applied Sciences Berlin (BHT).
Their manager is Johannes Bohnet, Founder & Co-CEO. They work with Mathias Hoehme - VP, Finance, Sophia Friederike Hoehn - COO, and Oliver Viel - Director, Marketing & Business Development.
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Seerene
Seerene is the first integrated Digital Engineering Platform for the end-to-end management of software systems. Seerene's software analytics platform provides actionable insights into software development processes, source code, system evolution, and software developers. Seerene, using AI, extracts the meta data and analyses it holistically and with respect to various issues in software development, such as for risk prevention, effort estimation, team composition, etc. The analytics platform incorporates all phases of the software development process and software delivery (end-to-end). By leveraging AI to integrate all available data from tools, methods, and metrics, Seerene creates a new foundation of shared knowledge and insights in the form of their ‘Digital Boardroom’, empowering the decision-markers in software engineering.