Quantinuity allows users to combine computational tasks into data-driven chains using logical workflow elements such as sequences, parallel branches, conditional blocks, and loops. Remote workflow execution can be observed in real-time, monitored occasionally, or left unattended for completion. Data values are automatically transferred downstream through parameter links. Results are persisted in remote storage and can be accessed from anywhere.

Features

• Public or private registries of software container images
• Proprietary, commercial, and open-source applications
• Custom-developed scripts
• Flat, shallow, or deeply nested workflow hierarchies
• Sequences, parallel branches, conditional blocks, and loops
• Parameter sweeps, trade studies, iterators, convergence loops, and optimizers
• Fire-and-forget model execution
• Single source of model truth
• Automatically-saved results for future reference, review, or visualization
• Time limits for applications, models, or individual tasks
• Sharing for real-time collaboration
• Linked parameters for automatic data transfer
• Access to application logs for easier troubleshooting
• Custom user parameters