——Industrial AI ModelOps Platform
By decoupling models from application, CyberCube™ is an interdisciplinary, cross-industry, cross-phase, and
cross-environment industrial AI model building platform, combining DevOps in software engineering and ModelOps
concept in data science. It offers lifecycle closed-loop management of modeling from model design,
exploration, validation-to-deployment, operation and monitoring. The highly integrated environment largely
reduces cost of model development, operation and management.
Democratizing Industrial AI Modeling
Compatible with both Python and Spark
Offer automatic compiling tools for algorithm scripts, enabling higher modeling-to-production
Asset-based zero-code drag-and-drop model construction
Industry-specific modeling templates and hundreds of algorithm operators for prognostics for wind
energy, rotary machinery diagnosis, machining, rail transportation, and system energy efficiency
management
Model Lifecycle Management
Accumulating industrial AI assets, including algorithm operators, features, models, training
results, dependency libraries
Model evaluation and performance metrics to quickly select applicable templates and models, better
leveraging accumulated intelligence assets
Improve Model Deployment Efficiency
One-click deployment to achieve rapid deployment and iterative optimization in production
Supports model management, execution, scheduling and monitoring, enabling dynamic configuration of
data resources and model parameters
Supports diversified and secure deployment strategies
300+
interdisciplinary
algorithms
Industry-specific
for 30+ industries
modeling templates
Full-stack platform
for model building,
deployment, and
management
Seamless
integration with
production
Industry-friendly
model asset
management
Model performance
metrics and
evaluation
framework
Industrial AI asset
accumulation
Comprehensive
information security
system