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PHYSICS-INFORMED
Physics-informed
Grounded in process knowledge.
Combine physical principles, process experience and data to ground model analysis in real production conditions.
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INTELLIGENCE FOR THE REAL WORLD
Connect industrial time series and dark data. Turn experience into intelligence that keeps evolving.
From process to discrete manufacturing · AI for Science → Science for Industry
01 / INDUSTRIAL INTELLIGENCE
AI for real productionCombining process knowledge with deep learning, ManuDrive connects historical data, current conditions and future change to support process optimization and production control.
Align temperature, dissolved oxygen, feed and pH on a shared timeline to understand how the variables relate.
Each color represents a variable. The curves show changes that have already occurred.
ENGINEERED FOR INDUSTRY
Four technical approaches, shaped by real production constraints.
PHYSICS-INFORMED
Grounded in process knowledge.
Combine physical principles, process experience and data to ground model analysis in real production conditions.
DATA-EFFICIENT
Start with what you already know.
Bring domain knowledge together with available records, making limited data a starting point for understanding the process.
LIGHTWEIGHT
Designed around the site.
Combine models and modules for each task, with deployment shaped by available compute and existing systems.
TIME-AWARE
Decisions that follow change.
Connect past observations, the present state and future trends in a continuous cycle of prediction, adjustment and feedback.
02 / ACROSS INDUSTRIES
Explore all applications ↗Different industrial settings.
A shared cycle of prediction, optimization and feedback.
Bring temperature, dissolved oxygen, feed rates and process knowledge into models for fermentation, utilities and extraction.
Explore applicationConnect operating data with process knowledge to coordinate aeration, dosing and scheduling across water and wastewater systems.
Explore applicationCombine material properties, machining requirements, tooling knowledge and experience to support tool selection and process planning for custom parts.
Explore applicationConnect processes, equipment and expertise. Let each deployment inform the next improvement.
Explore scheduling and waste operations ↗A CLOSER LOOK / JINCHENG FILMS
Explore our films ↗Production changes over time. Starting with dynamic processes such as biomanufacturing, discover how ManuDrive brings together industrial knowledge, small-sample learning and time-series modeling to connect on-site data, prediction and control optimization—turning industrial experience into AI capabilities that improve through continuous feedback.
03 / AI FOR SCIENCE
All products & models ↗From material properties and living systems to complex industrial processes.
Research → IndustryResearch directions extend into industrial challenges, with each product focused on its own domain.
AI for Science
Intelligent materials design
Explore the relationship between material structure and performance, connecting model predictions, candidate designs and experimental validation.
Explore AlphaMatAI for Science
AI for biological research
Connect computational prediction, candidate design and experimental feedback around biomolecular structure, function and properties.
Explore AlphaBioScience for Industry
Industrial time-series intelligence
Combining process knowledge with deep learning, ManuDrive connects historical data, current conditions and future change to support process optimization and production control.
Explore ManuDriveResearch at the intersection of materials, life sciences and industrial manufacturing.
Explore AIMS Lab research ↗04 / MEASURED IN PRODUCTION
Bringing model value to the production lineTemperature, dissolved oxygen, feed and pH change continuously during fermentation. Combining process data with domain knowledge keeps optimization grounded in production conditions.
Explore the fermentation case ↗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 ↗FIELD ⇄ 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 ↗
05 / NEWS & PERSPECTIVES
All news & insights ↗From understanding processes to validating models, on-site engineers help industrial AI work in real production environments.
Read more ↗Jiemian reports on Jincheng Technology's path from fermentation applications in China to international collaboration.
Read more ↗Yicai interviews Professor Jinjin Li about on-site industrial AI deployment and how its value is realized.
Read more ↗LET’S BUILD WHAT’S NEXT.
