Monitor your models. Compliance follows.
Every compliance requirement reduces to a monitoring question. Did the data drift? Did performance degrade? Did outcomes differ across groups? If you monitor properly, the forms fill themselves.
Banks spend 18 months preparing for model validation exams. Data science teams reconstruct what their model did six months ago from Jupyter notebooks and Slack threads. The documentation problem is a monitoring problem in disguise.
"Compliance isn't a goal. It's a byproduct of monitoring done right."
Performance Monitoring
Log predictions and outcomes. Get timestamped proof the model still works.
Distribution Tracking
PSI, KS tests, chi-squared at the feature level. Know which inputs shifted and by how much.
Subgroup Analysis
Disparity ratios across every protected group, every time period. Four-fifths rule violations flagged automatically.
Feature Attribution
SHAP values computed automatically. Adverse action reasons, logged.
Change Logs
Who deployed what, when. Immutable and queryable.
Comprehensive metadata extracted automatically from your models
Monitoring primitives are universal. Regulatory requirements are not. Muon maps your monitoring data to specific frameworks. Today's and tomorrow's.
New regulation? We map your existing evidence to their requirements. You don't re-instrument your models. You don't collect new data. The monitoring you're already doing generates the documentation they need.
| Compliance Platforms | Observability Tools | Muon | |
|---|---|---|---|
| Starting point | Forms to fill | Dashboards to watch | Monitoring primitives |
| Documentation | Manual entry | Not supported | Auto-generated |
| New regulations | New forms | Not supported | New mapping only |
| Audit prep time | Weeks | N/A | Minutes |
Python SDK. REST API. Start with documentation or full monitoring. Add components as you need them.
Banking, insurance, and lending teams.
Setup takes less than a day.
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