Industry Case Studies
Real examples of companies successfully using AI to solve business problems. Learn from practical implementations across various industries.
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The New Speed: How AI Projects Go Live in Weeks Instead of Months
Anyone who needs 6 months for an AI project today has already lost — not because of the competition, but because of the learning curve. In the last 18 months, I've built more working products than in the 10 years before.
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Co-Preneurship in the AI Era: Co-Founders on Demand Instead of Consultants
Co-preneurship means: we act as co-founders on demand — with speed, ownership and early prototypes. Learn how Reruption delivers AI projects faster and with better risk awareness.
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AI Architecture for Longevity: Start Fast, Stay Maintainable
Get productive quickly with AI while building systems that remain maintainable over the long term: We outline architecture principles, deployment paths and practical examples so AI products work today and stay scalable tomorrow.
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Building AI Copilots That Are Highly Reliable
How do you create copilots that act like dependable domain experts rather than creative chatbots? We present a technical and methodological framework with concrete patterns.
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Enterprise AI Security 2025: Guide to Audit-Proof AI Systems
Practical guide to secure, audit-proof AI systems in enterprises: Tenant Isolation, data classification, audit trails, model versioning, and our architecture with Hetzner, Coolify, Postgres and an internal AI proxy.
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Hetzner-native LLM Cluster: Secure, high-performance and cost-efficient self-host infrastructure
How companies can build their own LLM clusters on Hetzner: step-by-step architecture, SaaS vs. self-host cost comparison, deployment with Coolify and best practices for security and auditability.
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