Observe
Organize continuous process data to understand relationships between variables and operating boundaries.
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INDUSTRIAL INTELLIGENCE
Combining process knowledge with deep learning, ManuDrive connects historical data, current conditions and future change to support process optimization and production control.
Discuss your application ↗From biomanufacturing and water systems to precision manufacturing, ManuDrive connects time-series data, process principles and field knowledge in a continuous cycle of prediction, optimization, action and feedback.
Organize continuous process data to understand relationships between variables and operating boundaries.
Combine process knowledge with time-series learning to study how production conditions change.
Develop strategies within process constraints, connect field execution with feedback, and incorporate new production knowledge into the next optimization cycle.
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.
Further reading: Shanghai Jiao Tong University · ManuDrive research announcement ↗
REUSABLE INDUSTRIAL INTELLIGENCE
ManuDrive turns industrial experience and underused data into reusable modules. Its AI specialists are configured around each process, so capabilities developed in one setting can inform the next.
CONFIGURED FOR THE TASK
CONFIGURED FOR THE TASK
CONFIGURED FOR THE TASK
CONFIGURED FOR THE TASK
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.
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 ↗
LET’S BUILD WHAT’S NEXT.