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Apex Intelligence is a next-generation foundation model research lab built around native self-evolving AI systems for open-ended scientific discovery.
We pursue AI systems capable of closed-loop cognitive iteration — systems that autonomously refine reasoning, generate cross-domain hypotheses, and expand the frontier of understanding. Our goal is to move beyond static knowledge recognition toward machines that uncover hidden causal structures, identify universal patterns, and make genuine discoveries.
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Our AI research system Apex Research has passed a Turing test for scientific research at top AI conferences. Among 34 fully AI-generated manuscripts submitted to ACL Rolling Review, 8 received average overall scores above 3.0, outperforming more than 88% of human submissions. Two achieved a score of 3.67, exceeding the competitive acceptance threshold and outperforming more than 99% of human papers.
Read our report: AI Can Publish at Top AI Conferences Now!
Our leadership combines talent from Google, Microsoft, Amazon, Kimi, Zhipu AI, and Ant Group, with academic roots at Tsinghua, Harvard, MIT, and the University of Michigan. Expertise spans foundation models, reasoning systems, reinforcement learning, agent coordination, safety & alignment, robotics, and AI for science.
We are actively recruiting founding members across all disciplines. If you're passionate about building self-evolving AI systems from the ground up, reach out at hr@apexin.ai.