Muon is an AI coworker for risk and compliance departments at banks and fintechs. It handles model validation docs, bias testing, drift monitoring, and audit prep so your team works on decisions, not paperwork.
Your team spends more time documenting models than actually managing risk. Every audit means weeks of reconstructing what happened from Jupyter notebooks and Slack threads.
Model validation reports take weeks to write. Teams reconstruct evidence after the fact, copying metrics from notebooks into Word docs. Every audit is a fire drill.
SR 11-7, EU AI Act, ECOA, NIST AI RMF. Each one needs its own documentation format. Your team re-does the work for every framework, every time.
Data drifts. Populations shift. Performance degrades. By the time a human reviews the model, the documentation is already stale.
"We spend 60% of our time producing documents that prove we did the work instead of doing the work."
Muon connects to your ML environment, continuously monitors your models, and generates audit-ready documentation mapped to any regulatory framework.
Lightweight SDK or REST API. Muon starts capturing predictions, outcomes, feature distributions, and model metadata automatically.
Performance metrics, data drift, fairness across protected groups, feature attribution, all tracked around the clock. Issues get flagged before they become findings.
Muon maps monitoring data to SR 11-7, EU AI Act, ECOA, or your internal policies. Validation reports, model cards, and bias assessments, generated and ready for review.
Think of Muon as the team member who never drops the ball on documentation, never misses a drift event, and has every metric ready when the examiner calls.
Performance evidence with timestamped proof. Precision, recall, AUC, Brier score, all logged every evaluation window.
Disparity ratios across every protected group, every period. Four-fifths rule violations flagged the moment they appear.
PSI, KS tests, chi-squared at the feature level. Muon tells you which inputs shifted and by how much.
SHAP values computed automatically. Adverse action reasons ready for ECOA. Feature attribution logged for every decision.
Source data, transformations, training runs, all hashed and versioned. Prove exactly what data went into which model.
Who deployed what, when, and why. Immutable records that examiners trust. No more reconstructing history from memory.
Muon captures everything once. Then maps your evidence to whichever regulation applies, today's and tomorrow's.
New regulation? Muon maps your existing evidence to their requirements. You don't re-instrument. You don't collect new data. The monitoring you're already doing generates the documentation they need.
| Compliance platforms | Observability tools | Muon | |
|---|---|---|---|
| Approach | Forms to fill | Dashboards to watch | Coworker that handles it |
| Documentation | Manual entry | Not supported | Auto-generated |
| New regulation | New forms to fill | Not supported | New mapping, same data |
| Bias testing | Periodic, manual | Basic metrics | Continuous, automatic |
| Audit readiness | Weeks of prep | N/A | Always ready |
| Persona | Compliance officer | ML engineer | Both, one system |
Python SDK. REST API. Slack and email alerts built in. Need on-prem? We can do that, no data leaves your environment. Start with one model and expand from there.
We'll run Muon against one of your models and deliver a validation report mapped to SR 11-7 or EU AI Act, the kind of doc an examiner would expect.
For banking, insurance, and lending teams. Takes less than a week.
Got it. We'll reach out within 48 hours to set up your assessment.