ELLIS Institute Tübingen
The ELLIS Institute Tübingen is the world's first institute within the European Laboratory for Learning and Intelligent Systems (ELLIS) network, founded in 2023 and formally opened in June 2024. Located on the Cyber Valley campus in Tübingen, Germany, it hosts roughly 12 research groups led by top machine learning researchers, with a strong emphasis on foundational AI research integrated with societal relevance. Key focus areas include AI safety and alignment, robust machine learning, AI for science, cooperative machine intelligence, AutoML, and resource-efficient AI. The institute is supported by a €100 million endowment from the Hector Foundation and €25 million from the state of Baden-Württemberg, and maintains close ties with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center.
Funding Details
- Annual Budget
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- Monthly Burn Rate
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $125,000,000
- Fiscal Sponsor
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Theory of Change
The ELLIS Institute Tübingen believes that maintaining Europe's sovereignty and leadership in foundational AI research, conducted within a framework of European values (human-centered, beneficial, and safe AI), is critical to ensuring AI development goes well. By attracting world-class machine learning talent and providing excellent research conditions, the institute generates fundamental scientific advances that improve our understanding of how modern AI systems work and how to make them safer. Multiple research groups directly address AI safety risks: the AI Safety and Alignment group develops technical solutions to reduce risks from general-purpose AI models, focusing on alignment of autonomous LLM agents and rigorous AI evaluations to assess frontier model capabilities and risks; the COMPASS group works on safe, aligned, interpretable, and steerable AI agents; and the safety-aligned learning group studies optimization for secure systems. The causal chain is: excellent fundamental research and talent development → better scientific understanding of AI systems → technical tools for alignment, evaluation, and detecting deceptive AI behavior → reduced risk from advanced AI systems as these findings inform how AI labs and policymakers build and govern frontier models.
Grants Received
from Open Philanthropy
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Details
- Last Updated
- Apr 2, 2026, 10:08 PM UTC
- Created
- Mar 20, 2026, 2:34 AM UTC