Fathom
An operating console for AI-native research teams, built to track experiments, evaluations and pipeline status in one view.
Challenge
Fathom's research workflows were spread across disconnected tools, making it difficult for teams to see the status of an experiment, its evaluation results, or what was queued next.
Approach
We designed a single operating console that unifies experiment tracking, evaluation results and pipeline status, giving research teams one place to understand what is running, what shipped, and what needs attention.
Scope
A connected view of every experiment.
Pipeline overview. A single console surfaces every active experiment and its current status at a glance.
Weekly throughput, tracked against target.
Evaluation results, grouped by run.
Run detail. A focused view for inspecting a single experiment without losing context of the wider pipeline.
Model comparison view.
Queue and scheduling state.
Research tools tend to accumulate density over time. Every new capability adds another panel, filter or state. Our starting question was simple: what does a researcher actually need to see in the first five seconds of opening the console?
We organized the interface around three questions: what is running, what changed, and what needs a decision. Everything else moved a layer deeper, reachable but no longer competing for attention on the main screen.
Have something worth
getting right?
Tell us what you're building.
