NeoCognition raises $40M seed to build AI agents that specialise through experience rather than pre-training

1. 1Build a world model of a domain using AI agents
2. 2Run experiments to test the reliability of current AI agents
3. 3Configure AI agents to learn through experience
4. 4Test the performance of AI agents with specialist knowledge
5. 5Apply the concept of learning through experience to other AI applications

AI engineers and researchers can benefit from this development, as it aims to improve the reliability of AI agents in various domains

💡 AI agents can improve reliability by learning through experience rather than pre-training

💡 NeoCognition raises $40M to build AI agents that learn through experience!