meilynx

Capability

Attribute every dollar, and every risk.

Meilynx sits inline at the data path, so it sees model, tokens, cost, and governance findings on every call. Spend and exposure are attributed to the team, feature, and outcome that created them, as hashed, aggregate metadata.

Cost attribution

Each dollar, before month-end.

Spend is captured at the call, weeks before a provider invoice arrives. Finance sees AI cost per team, per feature, and per outcome while there's still time to act.

Per-team budgets

Set budgets by team, project, or department and watch them in one place.

Hard cost caps

Per-request and per-period caps, enforced inline before the spend happens.

Outcome attribution

Tie spend to the feature and business outcome it produced, as well as the model.
Risk attribution

Governance findings, with an owner.

A blocked MNPI leak or a flagged PII field has an owner. Meilynx maps each finding to the team and workflow behind it, in the same record that backs your examination package.

Findings by team

PII and MNPI findings attributed to the team and workflow that triggered them.

Exposure view

See where sensitive data and risky tool use concentrate across the org.

Same audit chain

Each finding lands in the same record an examiner can verify.
How it stays private

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. Enforcement and attribution run from the same position in the data path, so the dollar figure and the risk finding share one source of truth: the audit trail.

Get started

Put a number on every team's AI

We'll show budgets, caps, and how cost and risk roll up from the data path.

Regulatory updates

When a regulator changes what an AI examination asks for, hear about it first.

Short notes on SR 26-2, NYDFS 500, FINRA, the NAIC bulletin, the EU AI Act, and the employment-AI statutes, plus what we ship. A few emails a month.