Nexa. Making intelligence feel intuitive.
An exploration of an AI research workspace that brings experiments, model performance, and data into one clear interface - designed to turn technical complexity into an intuitive daily workflow.
ConceptThe question we explored.
Machine learning teams often move between notebooks, experiment trackers, dashboards, and chat threads to answer one question: is the model getting better? Nexa asks what a single, calm workspace for that question could look like - one that a research lead and a product manager could both read at a glance.
Start with the daily question
The overview opens on what changed since yesterday: active experiments, evaluation scores, and compute usage, each with a short trend rather than a dense table.
Make comparison the default
Model performance is always plotted against a baseline, so progress is visible without exporting data into another tool.
Surface activity, not noise
A focused activity feed highlights completed runs, new dataset versions, and deployments - the events that change decisions.
A quiet visual language
A dark, low-contrast canvas with a single mint accent keeps attention on the data and lets status colors carry meaning.
Key features.
Nexa is a design exploration, not a shipped product. It shows how we approach AI tooling: understand the decision the interface supports, then remove everything that does not help make it.
Start a similar project- Experiment overview with trend sparklines
- Model-versus-baseline performance chart
- Dataset usage breakdown
- Running experiment progress
- Top-performing model leaderboard
- Command search across models and datasets
The disciplines involved.
AI development
Turn a real business problem into a usable AI-powered product or feature.
ExploreMachine learning
Predictive models, recommendations, and forecasts built on sound data and evaluation.
ExploreUI/UX design
Research, flows, prototypes, and interfaces that make complex products feel clear.
Explore