Chinese AI Startup HyperVolve Raises Tens of Millions RMB in Angel Funding for Research Foundation Models
HyperVolve, a Chinese AI startup founded in August 2026, announced tens of millions of RMB in angel funding led by Lanchi Ventures, with participation from SenseTime Guoxiang Capital, Lenovo Star, Yingnuo Fund, and others. The company aims to build research foundation models with meta-research capabilities, using recursive self-improvement (RSI) as a key technical path, and will use the funds for computing infrastructure and team expansion.
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近日，超进化智能（HyperVolve，以下简称“超进化”）宣布完成数亿元人民币天使轮融资。本轮由蓝驰创投领投，商汤国香资本、联想之星、英诺基金、水木清华校友种子基金等联合投资，澜松资本担任长期战略财务顾问。本轮融资将主要用于算力与训练基础设施建设，以及核心研发团队扩充。 超进化智能成立于2026年8月，致力于研发具备元研究能力的研究基础模型。公司以 RSI（递归自我改进）为关键技术路径，推动模型在新场景专业能力的自我提升，并持续内化到模型参数中，实现模型智能的跃迁。 万卡集群万亿参数模型训练经验，懂基模的人做下一代范式 公司创始人陈恺本科毕业于清华大学，博士毕业于香港中文大学MMLab，曾任上海人工智能实验室大模型中心负责人、商汤科技研究总监，在 AI 顶级会议和期刊发表论文100余篇，谷歌学术引用超过4.5万次，具备学术界与产业界的双重经验。 在上海人工智能实验室期间，陈恺带领团队负责书生（Intern）大模型研发，主导完成万卡集群上万亿参数科学大模型的全流程训练。同时建设了大模型评测体系司南（OpenCompass），该体系已广泛应用于头部大模型企业与科研机构。此前，陈恺曾创建OpenMMLab计算机视觉开源算法体系，GitHub星标数超过14万，具有广泛的国际影响力。 公司核心成员来自上海人工智能实验室及头部科技公司，在大规模基模训练、评测体系建设及科学模型研发方面具备丰富的经验。 聚焦元研究能力，构建模型和系统协同进化闭环 陈恺表示：“Coding是大模型第一个跑通大规模迭代闭环的专业能力，Research会是下一个。”超进化所关注的元研究能力，是模型面对新的专业场景时，提出问题、形成假设、设计方案、自主验证并持续迭代的通用能力，打造具备跨领域研究学习能力的超级研究员大脑，可迁移至科学研究、行业场景研发及AI研究等不同场景。 与大多数公司聚焦在Agent层的自我迭代和进化不同，超进化选择“模型层进化”作为切入点，通过参数更新将新能力内化，使能力能够随模型复用、迁移与交付。当研究对象是AI本身时，研究元能力即转化为模型改进自身的能力，进而产出更强的、更适配任务场景的下一代模型。 为此，公司构建模型（Model）、智能体运行框架（Harness）与评测器（Evaluator）协同进化的闭环，同步优化三者，并正在建设覆盖研究能力与自我改进能力的评测体系。针对高质
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