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Company Description
Supper & Supper GmbH is a Berlin-based data science and AI consultancy specializing in AI-powered geodata analytics and enterprise-scale machine learning solutions. With more than 14 years of experience, 55+ experts, and over 80 clients worldwide, the firm helps organizations turn complex data into actionable products across the full lifecycle—from strategy to prototyping to production. Its Cloud and Data Services portfolio spans cloud architecture consulting and reviews, MLOps services, ongoing support, data consulting, a hands-on Data Lab for rapid prototyping, production-grade Data Operations, and scalable Data Infrastructure engineering. Supper & Supper is recognized for GEO AI expertise, applying deep learning to satellite imagery, orthophotos, and 3D point clouds to power digital twins, infrastructure intelligence, and automated asset inventories; the company’s Pointly 3D point cloud classification capabilities accelerate labeling and object detection for use cases such as road and bridge maintenance, utility mapping, and forest inventories. In agriculture, the team supports digital farming through advanced modeling, explainable AI, and pipeline automation, exemplified by projects with Bayer Crop Science (including the ResiYou platform) and Syngenta’s Portfolio Sustainability Framework, where robust data pipelines, lakehouse integrations, and analytics visualizations enable better decisions and measurable impact. For mechanical engineering and industrial environments, Supper & Supper delivers anomaly detection, predictive maintenance, and quality optimization, bringing models from concept to resilient, monitored services running in secure cloud environments on providers like Microsoft Azure, AWS, and Google Cloud, and leveraging containerization with Docker for portability and speed. Clients and partners include leading enterprises and public sector organizations such as VINCI/Eurovia, Volkswagen, Autobahn GmbH, Skyguide, Allianz, Wolfsburg AG, and Bavarian state bodies. The firm emphasizes rigorous engineering, scalable deployments, and collaborative coaching to embed agile, cloud-native practices, ensuring AI initiatives not only prove value quickly but also endure in operations.
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