xpresso Workflow Orchestration
Reliable And Easy-To-Use Toolkits To Build Complex
AI/ML Workflows
Standardized approach to enable faster iteration of model development, training and frequent model deployments
Create Complex Pipelines In Minutes
- Automate the complexity of ML pipelines
- Quickly design and code end-to-end data and model pipeline flows with drag-drop functionality
- Accelerate pipeline creation by using pre-built components from xpresso’s components library
- Create reusable components that can be used across solutions by including them in the components library
Build And Deploy Effortlessly
- Built-in DevOps automation to accelerate the process from development to production
- Rapidly build docker containers with a single click
- Easily deploy machine learning workflows on Kubeflow and Spark
- Customize workflows to be able to run experiments in parallel with varying parameters and datasets
Cognitive Modelling To Actionable Insights
- Run experiments in parallel to rapidly identify the most optimum model to take to production
- Track and visualize each experiment run along with the metrics to enhance quality control and allow for continuous improvement
- Schedule experiment runs to optimize resource utilization
- Conduct A/B or 1..n tests with various set of inputs to measure the outputs
