NeoCognition
Category: AI Agents
An AI agent lab developing self-learning agents that achieve domain-specific expertise and enterprise reliability. NeoCognition was founded in 2025. The company is led by Yu Su. Based in Palo Alto, United States. Team size: 11-50. Total funding raised: $40,000,000. Latest round: Seed. Key investors include Cambium Capital, Walden Catalyst Ventures, significant participation from Vista Equity Partners, Lip-Bu Tan, Ion Stoica, Intel CEO.
- Founded
- 2025
- Headquarters
- Palo Alto, United States
- Team size
- 11-50
- Total funding
- $40,000,000
Value proposition
Self-learning AI agents that reliably become experts in any domain, greatly improving task completion rates beyond today's 50% average.
Products and solutions
Self-learning AI agent platform for domain specialization
Target customer
Enterprise teams needing reliable, domain-specialized AI agents for complex workflows
Industries served
Enterprise (horizontal, domain-agnostic)
Technology advantage
Agent architecture that mimics human-like specialization through self-learning, addressing the reliability gap in current generalist agents
How they differentiate
Unlike current agents that are unreliable generalists (~50% success rate), NeoCognition builds agents that self-learn to become trusted experts in any domain, similar to how humans specialize.
Main competitors
Claude Code, OpenClaw, Perplexity computer tools
Key partnerships
Vista Equity Partners — distribution partnership providing access to portfolio of enterprise software companies
Major milestones
Founded in 2025 by Yu Su, spinning out from Ohio State research, Emerged from stealth with $40M seed funding in April 2026
Market positioning
Emerging player in the AI agent space, positioned as a research lab focused on reliability and specialization
About Yu Su
Associate Professor at Ohio State University leading an AI agent lab; Sloan Research Fellow.
Official website: https://neocognition.io/