Seed · AI & Machine Learning · Heidelberg, Germany · Founded 2025 · 9–15 employees
kausable is a Heidelberg-based deep tech AI startup founded in 2025 by three physicists from Heidelberg University and Black Forest Labs, building a reasoning-first foundational AI model that learns from minimal data and adapts to new scenarios without retraining. Unlike conventional LLMs, kausable develops causal 'world models' that learn cause-and-effect relationships rather than relying on large pattern-matched datasets. The team has published research in collaboration with Columbia University and developed TipPFN, a zero-shot forecasting model for predicting rare, high-impact 'black swan' events in complex dynamic systems. In July 2026, the company raised €12 million in a seed round led by UVC Partners and Entourage, with follow-on from HTGF and Mätch VC, plus angel backing from researchers at OpenAI, Google DeepMind, and Black Forest Labs. Their technology targets high-stakes, dynamic industries including robotics, energy, and finance.