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INTELLIGENCE IN ACTION
Across process and discrete manufacturing, combine industrial principles, time-series data and field expertise to address real production challenges.
Temperature, dissolved oxygen, feed and pH change continuously during fermentation. Combining process data with domain knowledge keeps optimization grounded in production conditions.
Public reporting describes Jincheng's work with Chuanning Biotech, using an intelligent virtual engineer to support fermentation control and assess model value on operating production lines.
PUBLIC REPORTING · APPLICATION-SPECIFIC RESULTS
Higher average output than the control group
Yicai's May 2026 report cites Chuanning Biotech's 2025 annual report. These results reflect specific operating and implementation conditions and do not imply the same improvement for every project.Read the original report ↗02 / WATER SYSTEMS
Water systemsConnect operating data with process knowledge to coordinate aeration, dosing and scheduling across water and wastewater systems.
A partnership signed with Jiangsu United Water in August 2026 supports demonstration projects and international expansion.
Explore the application and validation ↗03 / PRECISION MANUFACTURING
Precision manufacturingCombine material properties, machining requirements, tooling knowledge and experience to support tool selection and process planning for custom parts.
Compare operating conditions after adjustments to improve the next recommendation.
Concept diagram · illustrative pump and control unit
04 / ENERGY & OPERATIONS
Energy and utilitiesAnalyze equipment load, energy use and operating records together to identify anomalies and inform operational adjustments.
Read temperature and concentration → suggest parameter changes → validate the results.
Concept diagram · stages depend on the project
05 / PROCESS OPTIMIZATION
Extraction and process optimizationTrack temperature, concentration and other changes from extraction to concentration to assess which settings to adjust and how the changes perform.
Further application directions
Explore production plans shaped by real operating constraints.
Assist production task planning
Explore decision support informed by materials and operating conditions.
Assist identification and incineration scheduling
Start with your operating conditions. Explore what fits.
Discuss an applicationFIELD ⇄ RESEARCH
Deploy in the field. Keep improving.Industrial knowledge lives in equipment records, process parameters and the experience of skilled operators. We turn this underused data and expertise into AI capabilities that can be validated, reused and continuously improved.
Start with a production challenge ↗Explore how modules combine ↗Configured for each scenario Reused through practice
Align on-site data, deploy models and adapt them to the process, working with researchers on validation and refinement.
Work with the research team to refine algorithms and retain knowledge, turning local experience into reusable industrial capabilities.
Module counts and collaboration follow published reports and company materials; configurations are project-specific. Published report · August 2026 ↗
LET’S BUILD WHAT’S NEXT.