AI research lab NeoCognition lands $40M seed to build agents that learn like humans
NeoCognition, an AI research lab, has emerged from stealth with $40 million in seed funding to develop self-learning AI agents that can specialize in any domain. The startup aims to create reliable AI agents that can work independently, unlike current agents that successfully complete tasks only about 50% of the time.
NeoCognition, a startup led by Ohio State professor Yu Su, has secured $40 million in seed funding to develop AI agents that learn like humans. The funding round was co-led by Cambium Capital and Walden Catalyst Ventures. Current AI agents are unreliable, successfully completing tasks only about 50% of the time. NeoCognition aims to change this by developing an agent system that can self-learn to become an expert in any domain. The startup plans to sell its agent systems to enterprises, including established SaaS companies. With about 15 employees, mostly PhD holders, NeoCognition has the potential to revolutionize AI reliability.
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