Publications

The hidden first step of AI Act compliance: getting system boundaries and risk classification right

Which system and who is accountable?

The first practical step for any operator looking to comply with the EU AI Act is risk classification, the process of mapping and assigning their AI systems into one of the legislation’s four “risk classes.”

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AI Insight Paper - Making Business Decisions in the Realm of Large Language Models

Discover how LLMs can transform business decision-making: this report outlines key factors, business-oriented strategies, and best-practice paths to turn AI potential into real advantage.

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AI regulation made in Germany?

“AI Regulation made in Germany?” outlines how Germany can implement the EU AI Act — with four strategic pillars and concrete recommendations for oversight, compliance evaluation, innovation labs and rights-based risk assessment.

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Generative AI in the European Startup Landscape 2024

Explore the 2024 snapshot of Europe’s generative-AI startup landscape: top ventures, key technologies, funding data and growth hurdles — plus expert recommendations to support the next wave of AI innovation.

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AI Startup Landscape (2025)

Explore Germany’s top AI-startup landscape: 935 companies, 36 % growth year-on-year, regional, tech & funding data – expertly compiled by the appliedAI Instutute.

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Policy Brief Regulatory Sandbox

“AI Regulation made in Germany?” outlines how Germany can implement the EU AI Act — with four strategic pillars and concrete recommendations for oversight, compliance evaluation, innovation labs and rights-based risk assessment.

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AI Startup Landscape (2024)

Explore Germany’s AI startup ecosystem: 687 firms, 35% growth, full tech, funding and regional breakdowns – compiled by the appliedAI Institute.

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AI Startup Landscape (2023)

Explore the 2023 snapshot of Germany’s AI startup landscape: 508 companies, key hubs in Berlin & Munich, detailed insights into tech trends, regional distribution and funding.

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AI startup Landscape (2022)

Explore Germany’s thriving AI-startup landscape of 2022 – a data-driven overview of the top ventures, their tech focus and growth potential.

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AI Startup Landscape (2021)

Explore Germany’s AI startup scene in 2021: 278 top startups, growth indicators, funding insights and regional hubs Berlin & Munich.

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AI-Startup Landscape (2020)

Explore Germany’s 2020 AI startup snapshot: 247 leading companies, dominant hubs Berlin & Munich, significant growth in manufacturing, mobility and healthcare sectors.

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AI Startup Landscape (2019)

Explore Germany’s 2019 AI-startup landscape: 214 top AI startups, covering ML-based innovations, industry diversity, regional hubs and ecosystem dynamics — curated from a screening of over 1,000 companies by appliedAI.

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AI Startup Landscape (2018)

Explore Germany’s 2018 AI startup snapshot: 132 AI firms, tech trends, industry focus and early ecosystem dynamics — a foundational view of Germany’s AI-startup landscape.

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