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A platform lowers the barrier of entry and enables fewer engineers to reinvent less, allowing them to focus on implementing AI that is specific to the business.
Grace for data science
As a data scientist, you want to have the freedom to build models using open source components you trust. With Grace, you have the flexibility to do so and the platform reduce the engineering work required.
Data ingestion & transformation
Data source catalog
Tabular, text, video, image
Ingest from any data source
Data connectivity with code
Analysis tools
Dash apps
Python and R libraries
Notebooks
Model development
Multi projects and models
Model performance logging
R & Python
GPU/CPU
Model deployment
Docker based deployment
Pipeline supported model runs
Load balanced APIs
Grace for IT operations
With Grace, you get the tools to manage models in production efficiently. From monitoring dashboards to alarms and retraining schedules. Grace makes your daily routine easy.
Production
One click deployment
Horizontal scaling
Kubernetes pipeline builder
Image, video and NLP supported
Business Integration
Application builder
Secure APIs
Dashboarding
Analytics & dashboards
Metrics logging
Dashboarding
PDF exporting of model stats
Usage stats
Model lifecycle management
IT Operations dashboard
DS and IT KPIs
Infrastructure cost control
MLOps monitoring
Grace for platform administration
Grace offers a platform to ease the way to administer the platform. You manage one software rather than multiple single components which can save you time and resources as well as reduce risk.
Access management
User management
Permission
User authentication integration
Platform resource management
Platform resource allocation
Platform cost administration
Platform operational management
Platform KPI monitoring
Platform alert administration
Custom image management
Deployment administration
Project administration
Project management
Project resource allocation
Project/user access management
Project collaboration
Vendor-neutral
Our platform support Microsoft Azure, Google Cloud Platform, Amazon Web Services, as well as on-premise installations and hybrid options.
Want to orchestrate enterprise-wide AI?
Speak to one of our experts to find out how we can help