Cognitive AI Toolkit
AI Toolkit & Sandbox
A managed lifecycle suite: notebooks, AutoML, custom training, synthetic data, experiment tracking, and Responsible-AI checks in one workspace.
Sandbox projects
312
GPU hours / mo
9,448
AutoML jobs
1.2k
RAI pass rate
97%
Functional capabilities
Mapped to the RFP functional requirements
Low-Code / No-Code IDEs
Build AI models via simplified interfaces.
AutoML Support
Automated model selection, training and tuning.
Custom Model Training
Advanced development with scripting.
Synthetic Data Generation
Artificial datasets for training/testing.
Version Control & Experiments
Track model iterations and history.
Explainability & Bias Detection
Responsible AI checks integrated.
Multi-User Collaboration
Shared model development across teams.
Model Packaging & Export
Convert sandbox models to deployable artifacts.
Metadata & Lineage
Auto-attach model and data lineage.
Project Sharing & Access
Secure access to models, data and experiments.
Compliance Validation
Ensure ethical and regulatory standards.
Catalogue Re-use
Re-use open models and agents from marketplace.
Who uses this
- Data Scientist
- ML Engineer
- Domain SME
Runs on approved hyperscalers
GCP
Google Cloud (Vertex AI)
me-central2 (Doha)
AZURE
Microsoft Azure (AI Foundry)
qatarcentral
OCI
Oracle Cloud (OCI AI Services)
me-jeddah-1 / qatar-doha-1