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Features
Broad Applicability Across Industries
Regardless of material type, Datachemical LAB supports workflows
from R&D to manufacturing on a single platform.
Major application examples
Predicting experimental conditions that achieve
target performance using as few as 20–30 data points
Automatically generating thousands of candidate experimental conditions
and selecting promising ones to test
Quantifying chemical structures and predicting new structures
to achieve target performance
Estimating difficult-to-measure parameters from sensor data
in real time to support process operations
High Predictive Accuracy
and Advanced Analysis
Datachemical LAB incorporates research
from the Data Chemical Engineering Laboratory
at Meiji University together with
the latest advances in data science
and materials informatics.
Hiromasa Kaneko
CTO / Professor of the School of Science and Technology, Meiji University
Author of 4 books
30+ joint research projects
with companies and universities
Director of the Data Chemical Engineering Laboratory
The laboratory collaborates with
SUMITOMO CHEMICAL, SEKISUI CHEMICAL, TOSHIBA, Panasonic, Furuya Metal, RIKEN, The University of Tokyo, Kyoto University, The University of Osaka, St. Marianna University, and others.
In addition to high prediction accuracy,
Datachemical LAB supports the full workflow:
Preprocessing → Model Building → Prediction
Comprehensive Learning
and Training Support
We provide a range of support services,
including a support website, operation guides,
and assistance from our technical team,
so that even beginners in data science
can learn and use Datachemical LAB.
Product Tutorial Videos
We provide tutorial videos explaining
how to use Datachemical LAB.
The videos cover the major functions
and help users understand
the purpose and workflow of each feature.
Interactive Tutorials
More than 10 guided scenarios simulate
real analysis workflows.
Each scenario walks users through
the process from start to finish,
explaining the operations and interface steps
so users can practice and understand
the analysis workflow.
Free Training Package
(Available for annual users)
Users can learn the data analysis process
using sample datasets provided by Datachemical.
Internal accounts can be assigned
to members of your organization,
allowing you to monitor learning progress.
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