kausable raises €12M to rethink how AI learns
AI systems need constant, costly retraining. European AI startup kausable raises €12 million in a seed funding round to solve this problem by developing reasoning-first frontier AI that adapts efficie... The startup is developing causal "world models" trained on synthetic data that can adapt to new situations from only a handful of examples, targeting applications from robotics to healthcare.
Key Takeaways
- Artificial Intelligence kausable raises €12M to rethink how AI learns The startup is developing causal "world models" trained on synthetic data that can adapt to new situations from only a handful of examples, targeting applications from robotics to healthcare.
Cate Lawrence 1 hour ago Share Share Send email Copy link AI systems need constant, costly retraining.
- The round is led by the German and Belgian investors UVC Partners and Entourage, with follow-on from the German investors HTGF and Mätch VC.
- At the heart of kausable's approach is what it calls a 'world model' - a robust set of causal intuitions that allows the AI to adapt quickly to changes in its environment using very little new information.
Haux explained: "Humans don't need to repeat the same task a million times to learn it.
- It often requires huge amounts of data and constant retraining whenever conditions change.
" Instead of continually updating a model's internal weights, kausable trains a foundation model once and enables it to learn new tasks from just a handful of examples.
- Our models instead learn directly from causal relationships.
Stats & Key Facts
- #European AI startup kausable raises €12 million in a seed funding round to solve this problem by developing reasoning-first frontier AI that adapts efficie...
- #European AI startup kausable raises €12 million in a seed funding round to solve this problem by developing reasoning-first frontier AI that adapts efficiently to changing context without further retraining.
- #kausable began developing its idea in 2024, incorporated in early 2025, and worked with the Startup BW Pre-Seed programme before raising approximately €1.
The startup is developing causal "world models" trained on synthetic data that can adapt to new situations from only a handful of examples, targeting applications from robotics to healthcare. Artificial Intelligence kausable raises €12M to rethink how AI learns The startup is developing causal "world models" trained on synthetic data that can adapt to new situations from only a handful of examples, targeting applications from robotics to healthcare. Cate Lawrence 1 hour ago Share Share Send email Copy link AI systems need constant, costly retraining.
European AI startup kausable raises €12 million in a seed funding round to solve this problem by developing reasoning-first frontier AI that adapts efficiently to changing context without further retraining. The European frontier lab kausable has ties to Heidelberg University and Black Forest Labs (BFL), one of Germany's most prominent AI companies. The round is led by the German and Belgian investors UVC Partners and Entourage, with follow-on from the German investors HTGF and Mätch VC.
From Heidelberg University to frontier AI Johannes Haux (CEO), Dr Benjamin Herdeanu (CTO), and Gregor Ramien (COO) founded the European frontier AI lab kausable in 2025 based on their research at Heidelberg University and their working experience at start-ups as well as in highly regulated industries such as cybersecurity and the banking sector. kausable began developing its idea in 2024, incorporated in early 2025, and worked with the Startup BW Pre-Seed programme before raising approximately €1. Teaching AI to reason, not retrain A reasoning-first model is designed to learn and adapt more like humans.
For more details please read the original article at Tech.eu.
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