SaaS & Web Apps · Design study
Aether MLOps: Machine Learning Platform UX Design
An enterprise platform study organizing datasets, experiments and model review around the people responsible for them. The design emphasizes lifecycle clarity and operational handoffs.
Interface architecture study
Aether MLOps
ML lifecycle information architecture · Experiment and dataset navigation · Deployment review workflow
Work shown
Product experience and interface design. The material on this page describes design choices and proposed workflows.
Project focus
The study focuses on interface decisions, proposed workflows and the requirements a similar product would need to address.
Design decisions
Connect experiments to the relevant dataset and model version.
Separate deployment readiness from a successful training run.
Make permissions, review decisions and failure states visible.
Scope illustrated
- ML lifecycle information architecture
- Experiment and dataset navigation
- Deployment review workflow
For a similar project, we would agree the target users, business constraints, prototype feedback plan and acceptance criteria before development. We agree success measures during discovery and review them against a defined baseline after launch.