meilynx

For the Head of Model Risk

LLMs are models. SR 26-2 still expects them governed.

Generative AI entered your firm's decision workflows without entering your model inventory. Meilynx closes that gap: a complete inventory from live traffic, ongoing monitoring, and documentation an independent validator can rely on.

model inventory · from live traffic
  • gpt-4ochat-support · 3 teams
    inventoried
  • claude-sonnetdoc-summary · 1 team
    inventoried
  • text-embed-3search · 2 teams
    inventoried
  • gpt-4o-minifirst seen 2d ago
    new

nothing in use is missing · auto-populated

The gap you're closing

Shadow models, missing documentation.

A model you can't see can't be validated, monitored, or governed. LLMs proliferate faster than any manual inventory keeps up.

  • An incomplete inventory of which models are actually in use.
  • No ongoing monitoring of model use and behavior.
  • Documentation too thin for effective challenge or validation.
  • Controls that compliance can't read or audit.
How Meilynx answers

Evidence the validator can trust.

Meilynx supplies the inventory, monitoring, and documentation that validation depends on. It doesn't replace your validators; it equips them.

  • A model inventory derived from live traffic, so nothing in use is missing.
  • Continuous monitoring of model use, cost, and governance findings.
  • A tamper-evident record that serves as durable documentation.
  • Versioned policy-as-code your validators and examiners can read.
Get started

Bring AI into your model-risk program

See the auto-generated inventory, monitoring, and validation evidence on real traffic.

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.