ReruptionGmbH

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ReruptionGmbH

United States
70118 Louisiana
United States

Reruption was founded on a simple idea: Companies don’t need to be disrupted — they need to rerupt. Instead of reacting to external shocks, trends, or competitors, organisations should build the capability to counter disruption from within. “Reruption” expresses that mindset: proactively reshaping the business before someone else does. The team builds AI products and AI-first capabilities directly inside client organisations. The approach combines fast engineering, strategic clarity, and entrepreneurial execution. You focus on AI Strategy, AI Engineering, Security & Compliance, and Enablement — the four pillars that enable companies to become genuinely AI-ready. You don’t optimise the status quo. You build what replaces it. The Co-Preneur Approach The Co-Preneur approach is your operating system. Instead of behaving like consultants, you embed yourselves like co-founders. You enter the organisation, challenge assumptions, and push ideas forward until something real ships. You operate in the client’s P&L, not in slide decks. Core principles: Entrepreneurial Ownership You take responsibility for outcomes as if it were your own company. Velocity You move faster than traditional IT or consulting structures. Speed is leverage. Technical Depth You bring engineering power that produces real prototypes, products, automations, and internal tools. AI-First Lens Every process, product, or workflow is re-evaluated under the question: If we built this from scratch today with AI, how would it work? Radical Clarity You cut complexity. You simplify. You make decisions happen. This mindset enables companies to get from idea to working AI solution in a fraction of the usual time. AI PoC Offering – 9.900€ Many organisations have promising AI ideas but don’t know if they’re technically feasible. Your AI PoC solves exactly that. Goal Deliver a technical proof that a specific AI use case actually works — not theoretically, but in a functioning prototype. Components Use-Case Definition & Scoping Input, output, constraints, metrics — reduced to the essence. Feasibility Check Model selection, architecture, context window needs, latency expectations, data requirements. Rapid Prototyping A working prototype built in days. Typical formats: Internal AI assistant for a department Workflow automation using model chaining Classification, generation, or summarisation modules Lightweight UI for testing and interaction Performance Evaluation Speed, quality, cost per run, robustness, edge cases. Production Plan Clear guidance: effort, timeline, architecture, budget.



Email : [email protected]

Website : https://reruption.com



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