NeoCognition, an AI agent laboratory focused on specialised intelligence, has raised $40 million in seed funding, according to filings with the US Securities and Exchange Commission. Founded by AI researchers Yu Su, Xiang Deng and Yu Gu, the Palo Alto-based company develops AI agents that continuously learn to achieve expert-level intelligence. The startup's mission is to expand access to expertise through these specialised systems. The filing was made under Regulation D of the Securities Act of 1933, which allows companies to sell securities without standard registration requirements. No additional details about investors or valuation were disclosed in the SEC filing.

US AI startup NeoCognition exits stealth with $40m seed. NeoCognition, an AI startup spun out of work by Ohio State professor Yu Su, has emerged from stealth with a US$40 million seed round led by Cambium Capital and Walden Catalyst Ventures. Vista Equity Partners also joined the round, with angels including Intel CEO Lip-Bu Tan and Databricks co-founder Ion Stoica. Su founded the company in 2025 to build self-learning AI agents for enterprises, saying current agents complete tasks as intended only about half the time. Food for thought. Implications, context, and why it matters. NeoCognition's 'expert' agents aim to learn jobs like humans do. * NeoCognition says its agents keep learning how a company works, including processes, limits, and routines, to build a specialized "world model of work" for each setting 1. * The company says this focus can make them quicker and more dependable than general-purpose models. It also says the approach can cut costs and improve safety in high-stakes business use 1. * NeoCognition ties its case to the founders' work on Mind2Web, MMMU, and SeeAct, which cover AI benchmarks and agent studies. It also says work from Su's team is used in frontier large language models from OpenAI, Anthropic, and Google 1. Investors are also backing smaller, task-specific AI approaches. * NeoCognition's funding fits a wider move toward smaller AI models built for one job, which investors believe can beat general-purpose systems in some tasks 2. * Fastino says it trains small models for specific tasks on low-end gaming graphics processing units (GPUs). Yoodli, a communication coaching startup, reached a valuation above US$300 million after a US$40 million series B round by focusing its AI on communication training 23. * The shift suggests companies buying AI care more about dependable performance and lower costs when a system is built for one purpose 2. Stay updated on the go with our mobile app. Get latest insights with smoother, more personalized experience through TIA mobile app. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!