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NeoCognition Raises $40M to Build Self-Learning AI Agents That Specialise Like Humans

NeoCognition, a research-focused AI startup developing self-learning agents, has emerged from stealth with $40 million in seed funding. The round was co-led by Cambium Capital and Walden Catalyst Ventures, with participation from Vista Equity Partners and angels including Intel chief executive Lip-Bu Tan and Databricks co-founder Ion Stoica.

The company was founded by Yu Su, an Ohio State University professor who resisted venture capital pressure to commercialise his AI agent research before spinning out the lab last year. Su argued that current AI agents — including those from Claude Code and Perplexity — complete tasks successfully only around half the time, making them too unreliable for autonomous enterprise work.

NeoCognition’s approach mirrors human specialisation: rather than building agents custom-engineered for single verticals, the company is developing generalist agents capable of self-learning and rapidly mastering the rules and relationships of any domain or profession.

The startup plans to sell primarily to enterprises and established SaaS companies. Su highlighted Vista Equity’s vast software portfolio as particularly valuable for direct market access. NeoCognition currently employs around 15 people, the majority holding PhDs.

Featured image: Credit: NeoCognition

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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