NeoCognition raises $40 million in seed funding to develop specialized AI agents capable of on-the-job learning

ME News Report, April 22 (UTC+8), according to Beating Monitoring, AI research lab NeoCognition announced the completion of a $40 million seed round of funding, emerging from stealth mode. The company is headquartered in Palo Alto, California, founded jointly by Associate Professor Yu Su from Ohio State University, Xiang Deng, and Yu Gu. The round was oversubscribed, with Cambium Capital and Walden Catalyst Ventures leading the investment, and Vista Equity Partners participating. Angel investors include Intel CEO Lip-Bu Tan, Databricks co-founder and Executive Chairman Ion Stoica, as well as AI researchers Dawn Song, Ruslan Salakhutdinov, and Luke Zettlemoyer. NeoCognition aims to address the reliability of intelligent agents. Founder Yu Su stated that currently, AI agents only succeed in about 50% of tasks as expected, with each execution akin to rolling dice. The company’s approach is to enable intelligent agents to autonomously build their own “world models” within their respective domains through practical use, capturing rules, relationships, and constraints in specific business environments, allowing them to quickly specialize on the job rather than relying on general pretraining. Yu Su established an LLM intelligent agent research lab at Ohio State University before ChatGPT, with previous notable projects including Mind2Web, MMMU, and SeeAct. The business route targets enterprise clients, mainly serving SaaS companies, helping them embed continuously improving AI employees into their products and operational processes. Vista Equity Partners owns many enterprise software companies, and their participation is also seen as a distribution channel. The team consists of about 15 people, most holding PhDs, with no publicly available products yet. (Source: BlockBeats)