Capability
Attribute every dollar — and every risk.
Because Meilynx sits inline at the data path, it sees model, tokens, cost, and governance findings on every call. That spend and exposure gets attributed to the team, feature, and outcome that created it — captured as hashed, aggregate metadata, never raw payload.
Every dollar, before month-end.
Spend is captured at the call, not reconstructed from a provider invoice weeks later — so finance sees AI cost per team, per feature, and per outcome while there's still time to act.
Per-team budgets
Hard cost caps
Outcome attribution
Governance findings, with an owner.
A blocked MNPI leak or a redacted PII field isn't just an event — it's attributable. Meilynx maps every finding to the team and workflow behind it, in the same record that backs your examination package.
Findings by team
Exposure view
Same audit chain
Attribution without exposure.
The proxy processes prompts and responses inside your perimeter. Only hashed, aggregate metadata — token counts, cost, rule outcomes — flows to the shared control plane for dashboards and rollups.
- Raw prompts and responses never leave your environment.
- Spend and findings roll up by team, project, and environment.
- The same metadata powers budgets, anomaly detection, and the compliance posture view.
A note on cost
Cost is a feature of the governance system, not a separate product. Because enforcement and attribution run from the same position in the data path, the dollar figure and the risk finding share one source of truth — the audit trail — instead of living in two tools that never quite agree.
Put a number on every team's AI
We'll show budgets, caps, and how cost and risk roll up from the data path.