BlueRun Ventures Leads $6 Million Seed and Angel Round in Luchen Tech | BlueRun Ventures

Recently, Luchen Tech announced the completion of a $6 million seed and angel funding round, with BlueRun Ventures leading the angel round. Sinovation Ventures and ZhenFund co-led the seed round, with both rounds completed within a single year. The funding will primarily be used to recruit top talent and expand into new markets.

Jianping Shi, Investment Partner at BlueRun Ventures, stated: "With the rapid evolution and development of AI foundation models, pre-trained model architectures, and large language models, AI is beginning to effectively meet customer expectations and solve real pain points. However, enterprises face substantial costs during AI model training, maintenance, and inference. To enable customers to effectively integrate broad AI capabilities throughout their business lifecycle, Luchen Tech has developed a high-performance AI platform whose open-source products allow users to dramatically improve model training and inference efficiency without code modifications, while remaining ecosystem-friendly. As an early investor in Luchen, BlueRun is pleased to see the company gaining increasing user recognition for its product leadership and global open-source ecosystem, and beginning to scale rapidly. We look forward to the company accelerating and deepening its mission of empowering industries with AI, and growing into a globally renowned AI company."

Founded in Beijing in July 2021, Luchen Tech has established an overseas R&D center in Singapore. The company is dedicated to unleashing AI productivity. Through self-developed technologies including efficient multi-dimensional parallelism, heterogeneous memory management, large-scale optimization libraries, and adaptive task scheduling, it has built Colossal-AI, a general deep learning system for the large model era that efficiently accelerates the deployment of large AI models and helps enterprises achieve intelligent industrial upgrading at low cost.

Luchen boasts a world-class R&D team, with core members from top global institutions including UC Berkeley, Stanford University, Tsinghua and Peking Universities, National University of Singapore, and Nanyang Technological University. Collectively, team members have published nearly 100 papers in top international academic journals and conferences, and previously held positions at leading technology companies including Google, Microsoft, NVIDIA, IBM, and Intel, accumulating over ten years of technical expertise in high-performance computing, artificial intelligence, and distributed systems.

Luchen Tech has keenly identified the sharp contradiction between the exponential growth of AI models and the comparatively slow growth of hardware computing power, targeting the trillion-dollar enterprise AI market. Drawing on years of outstanding academic achievements and deep industrial experience, the company has solved multiple core technical challenges including multi-dimensional tensor parallelism, sequence parallelism, heterogeneous memory management, large-scale optimization libraries, and adaptive task scheduling. Its flagship product, the general AI large model training and inference system Colossal-AI, enables efficient and rapid deployment of AI large model training and inference, reducing the cost of AI large model applications. Just months after open-sourcing, the Colossal-AI system has garnered approximately 5,000 GitHub Stars, repeatedly topped GitHub's global trending charts, and attracted users worldwide. The company has already established partnerships with numerous well-known vendors and open-source communities, spanning autonomous driving, cloud computing, biomedicine, chip design, and intelligent retail.

Facing this milestone new starting point, Luchen Tech founder Professor Yang You stated: "The global enterprise AI market exceeds one trillion dollars. The digital and intelligent transformation of industries across the board cannot succeed without high-performance AI. Luchen Tech's general deep learning system Colossal-AI for the large model era addresses an essential need in the future AI market. Our solutions help enterprises and users effectively reduce the costs of large AI model training and inference, comprehensively facilitate the deployment of large AI models, and empower intelligent upgrading across the entire industrial chain."

Going forward, Luchen Tech will continue exploring frontier technologies, strengthening core capabilities, enriching its product portfolio, and continuously improving solutions and ecosystems for large AI models—helping enterprise users achieve cost reduction and efficiency gains in deploying large AI models, and truly unleashing AI productivity.

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BlueRun Ventures was established in Silicon Valley in 1998. BlueRun Ventures China was founded in 2005 and is a venture capital firm focused on early-stage startups.

Currently, BlueRun Ventures China manages multiple USD and RMB dual-currency funds, with assets under management exceeding RMB 15 billion, making it one of the largest early-stage funds in China. The firm invests primarily at Pre-A and Series A stages, covering hard tech and innovative interaction, enterprise technology, new consumer, and healthcare sectors. It has cumulatively invested in over 150 startups, including Li Auto, Waterdrop, QingCloud, Guazi.com, Qudian, Songguo Mobility, Ganji.com, Energy Monster, Yuntu Semiconductor, Machenike, Cloud Saint Intelligence, Anxin Netshield, and BioMap.

BlueRun Ventures has been ranked first in Zero2IPO's "China Top 30 Early-Stage Investment Institutions" and ChinaVenture's "China Best Early-Stage Venture Capital Institutions TOP30," and was named among Preqin's Top 10 global venture capital fund managers for sustained high-return performance.

Additionally, BlueRun Ventures has for multiple consecutive years received honors from Forbes China, 36Kr, Cyzone, Caixin Media, CBNweekly, Jiemian, and other media organizations, including "China's Best Early-Stage Firm of the Year," "China's Top Venture Capital Firm," "Most Entrepreneur-Friendly Early-Stage Firm of the Year," and "Most Influential Early-Stage Firm of the Year."