German artificial intelligence startup kausable has raised €12 million in a Seed funding round to accelerate development of its reasoning-first foundation AI model, which is designed to adapt to changing environments without requiring continual retraining.
Funding to Accelerate AI Development
The investment round was led by UVC Partners and Entourage, with follow-on participation from existing investors HTGF and Mätch VC.
The company is also backed by several angel investors from the AI and academic communities, including individuals affiliated with Black Forest Labs, OpenAI, Google DeepMind, Noxtua, and the European Laboratory for Learning and Intelligent Systems (ELLIS).
Founded in 2025, kausable was established by Johannes Haux (Chief Executive Officer), Dr. Benjamin Herdeanu (Chief Technology Officer), and Gregor Ramien (Chief Operating Officer), three physicists with connections to Heidelberg University and Black Forest Labs.
Focus on Adaptive AI Models
The startup is developing a reasoning-first foundation model that it says can learn from limited data, adapt to new situations without retraining, and respond to scenarios that were not anticipated during development.
According to the company, conventional AI systems typically rely on increasingly large datasets and repeated retraining to maintain performance as conditions change.
kausable said its approach instead uses a “world model” that continuously adapts as new information becomes available, enabling the integration of diverse data sources and operation in dynamic environments.
The company said the technology is intended for applications in sectors such as robotics, energy and finance, where operating conditions can change rapidly.
Research and Product Development
Among the company’s recent developments is TipPFN, a zero-shot forecasting model designed to predict rare, high-impact events in complex systems, including applications in healthcare and the energy sector.
kausable previously completed a €1.5 million pre-Seed funding round and recently co-authored a research paper with researchers from Columbia University validating the causal reasoning architecture underlying its AI model.
Long-Term Vision
Chief Executive Officer Johannes Haux said the company’s objective is to develop AI systems capable of adapting to changing environments more efficiently than existing models.
“The world evolves rapidly, and so should AI. However, even the most capable current AI systems are very static in how they interpret the world and need constant, time-consuming, and costly retraining.”
He added that kausable’s world model is designed to learn efficiently while adapting to changing conditions with minimal additional information.
“With kausable we solve this problem by developing a new kind of world model that learns efficiently and robustly on its own and adapts to the ever-changing world.”
Pieterjan Bouten, co-founder of Entourage, said the company’s approach differs from many current AI systems by emphasizing reasoning rather than memorization.
“Most AI models are trained to remember the past. kausable is building AI that can reason about the future.”
He added that the company’s focus on adaptive reasoning and causal inference represents a different approach to foundation AI development.
Expansion Plans
kausable said the new funding will be used to expand its current team of nine specialists and continue developing its adaptive foundation model.