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AI research lab NeoCognition lands $40M seed to build agents that learn like humans

Newly-funded NeoCognition targets AI agents' 50% failure rate by building domain-specialized systems that rapidly master specialized rules—backed by Intel CEO and Databricks co-founder.

Tuesday, April 21, 2026 12:00 PM UTC2 MIN READSOURCE: TechCrunchBY sys://pipeline

NeoCognition, founded by Ohio State professor Yu Su, has emerged from stealth with $40M seed funding to build self-learning AI agents that specialize like humans. The startup addresses current agents' poor reliability (Su claims ~50% success rate) by developing systems that rapidly master domain-specific rules. Backers include Cambium Capital, Walden Catalyst Ventures, Vista Equity Partners, Intel CEO Lip-Bu Tan, and Databricks co-founder Ion Stoica.

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