Jincheng Technology (金珵科技)
Category: AI in Manufacturing
Shanghai-based industrial AI company whose ManuDrive time-series control foundation model optimizes process and discrete manufacturing production lines in real time. Jincheng Technology (金珵科技) was founded in 2023. The company is led by Li Jinjin (李金金). Based in Shanghai, China. Team size: 101-500. Latest round: Series A. Key investors include Daotong Investment (道彤投资), Lingang Lanwan Capital (临港蓝湾资本), Shanghai state capital (上海国资), industrial capital, leading market-based funds.
- Founded
- 2023
- Headquarters
- Shanghai, China
- Team size
- 101-500
Value proposition
Real-time closed-loop AI control of industrial production processes (vs. traditional monitoring/statistics software and generic LLMs that don't understand physical constraints), with a risk-sharing revenue-share model where customers pay only after AI generates incremental value.
Products and solutions
ManuDrive — industrial time-series control foundation model with 127 reusable algorithm/function agents ("industrial AI LEGO"), AlphaMat (materials generative model, 2017), AlphaBio (protein prediction model, 2021), ManuDrive (2025). Verticals: biomanufacturing/fermentation, smart water utilities, precision machining, chemical, solid waste.
Unique value
ManuDrive is an industrial time-series control foundation model that fuses physical/process mechanisms with on-site industrial data to output physically-safe, executable control commands — moving AI from static analysis to real-time closed-loop intervention on live production lines, delivering deterministic gains in efficiency, quality and energy cost.
Target customer
Large and mid-sized manufacturing enterprises in process industries (biomanufacturing, chemicals, water treatment) and discrete manufacturing (precision machining).
Industries served
Biomanufacturing/fermentation, Chemicals, Water utilities, Precision/discrete machining, Solid waste treatment
Technology advantage
Physics-informed, data-efficient (small-data) modeling; lightweight on-site deployment; time-aware closed-loop control. 127 standardized reusable agents enable vertical models to be assembled in as little as 1 hour and deployed in 1-2 weeks (vs. months/years). Trained on 180K process variables, 150M physicochemical kinetics data points, 3B equipment time-series data points. Revenue-share business model aligns incentives with customer outcomes.
How they differentiate
Unlike traditional industrial software (monitoring/simulation) and generic LLMs (text processing), ManuDrive abstracts physics-mechanism fusion, time-series processing, safety constraints and line integration into a reusable component library — breaking the project-based model and enabling a "scenario-model-data" flywheel. Risk-sharing revenue-share pricing vs. license/project fees.
Main competitors
Supcon Technology (中控技术, TPT time-series model for process industry), Mogu IoT (蘑菇物联, industrial AI agents/energy systems), Huawei (industrial AI platforms with oil/chemical majors)
Key partnerships
Shanghai Jiao Tong University (AIMS Lab), Chuanning Biotech (川宁生物, exclusive strategic partnership on antibiotic fermentation AI, signed Feb 2024), Chia Tai Biotech (正大生物, overseas fermentation project), collaboration with three leading enterprises via SJTU
Notable customers
Chuanning Biotech (川宁生物), Chia Tai Biotech (正大生物), 100+ mid-to-large manufacturing enterprises
Major milestones
Founded Dec 2023 in Shanghai, Feb 2024 exclusive strategic partnership with Chuanning Biotech, May 2026 ManuDrive publicly launched at SJTU 130th anniversary, July 2026 first overseas order, Aug 2026 Series A completed, Oct 2026 Series A announced publicly
Growth metrics
100+ manufacturing enterprises deployed; profitable within 3 years of founding; revenue growing rapidly; 50% reduction in production fluctuation and 3-5% yield increase at Chuanning Biotech flagship project; single production line generates tens of millions RMB in annual incremental value; first overseas order signed July 2026
Market positioning
Emerging leader in China's industrial AI / Physical AI space, positioned as "industrial intelligence infrastructure" ("AI老法师" / AI master craftsman). Targeting a trillion-RMB AI+manufacturing market as it moves from pilot validation to scaled replication.
Geographic focus
China (domestic manufacturing base), expanding overseas (first international order signed July 2026)
Patents and IP
Published patent application CN121808921A: 面向建筑工业领域的集成化结构智能设计系统和方法 (integrated intelligent structural design system and method for the construction industry). Filed 2026-03-11; published 2026-04-07. Inventors: Du Chen and Li Jinjin. Reported applicant: 上海金珵科技有限公司. Grant not verified.
About Li Jinjin (李金金)
Professor and Director of the AI and Microstructure Laboratory (AIMS Lab) at Shanghai Jiao Tong University; PhD from SJTU; overseas postdoctoral research; returned to SJTU faculty in 2014. Condensed-matter physics background, first-principles computation, AI for Science. Developed AlphaMat, AlphaBio and ManuDrive models.
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Official website: https://www.jinchengcn.com/