meilynx_

Platform

End-to-end AI compliance,
from prompt to examiner.

Meilynx is the compliance system of record for AI in financial services. One system enforces policy, governs agents, and produces examination-ready evidence — so the compliance budget buys one coherent audit trail, not a stitched-together stack.

Request a demoDownload a sample examination package
Why Meilynx

One system, not four.

A mid-sized finance team shouldn't buy a model gateway, a DLP tool, an audit pipeline, and a model-inventory spreadsheet — then try to make them tell one story to an examiner.

  • Policy enforced inline, at the data path — not bolted on after the fact.
  • Agent and MCP activity in the same audit trail as a plain LLM call.
  • A tamper-evident record designed to be handed to a regulator.
  • Cost and risk attributed to the team, feature, and outcome that created them.

The system of record

Meilynx owns the compliance and audit layer examiners care about — the one that proves what your AI did, who governed it, and what evidence backs the claim. Your gateway proves nothing to an examiner; Meilynx is the system that does.

How it works

One position in the data path.

A single env-var change routes LLM traffic through the Meilynx proxy. From that one position it enforces policy pre-request and post-response, seals every decision into the audit chain, and attributes spend — while raw prompts and responses never leave your perimeter.

Meilynx Proxy · Inside your perimeter

Request

From your application

Policy

Model allow/deny · schema

PII / MNPI

Real-time detection

Cost

Per-request · budgets

Tools

Agent allow/deny

Provider

OpenAI · Anthropic · Azure · Google

Audit trail

Analytical store · WORM archive · Cryptographic hash chain

Capturing every call · 6-year floor (Fully Managed)

Shadow mode supported for safe rollout.

Architecture

Two planes. One trust boundary.

The data plane runs inside infrastructure dedicated to your organization and owns your audit trail. Only hashed, aggregate metadata flows to the shared control plane — never raw payload.

Your environment

Managed or self-hosted · isolated either way

Trust boundary

  • Application

    Your apps & agents

  • Meilynx Proxy

    Validators · streaming · audit emission

  • Audit Trail

    WORM archive · hash chain · examination export

Raw prompts & responses never leave this boundary.

Per-customer isolated data plane in every deployment mode

Telemetry

metadata

Bundles

policy-as-code

Meilynx control plane

Managed SaaS

  • Policy authoring

    Signed bundles · policy-as-code

  • Compliance console

    Posture · waivers · examination packages

  • Telemetry rollup

    Metadata only · token counts · rule outcomes

No raw payload data ever reaches the control plane.

Capabilities

What the platform does.

Each capability stands on its own and feeds the same examination-ready audit trail.

Inline policy enforcementPre-request and post-response controls at the data path — a one-env-var change, no app rewrite.Examination-ready audit trailA tamper-evident, hash-chained record of every request — examiner-verifiable, not a screenshot collection.Agent & MCP governanceFull agent execution traced and tool calls allowed or denied at the boundary your traffic crosses.Cost & risk attributionEvery dollar and every governance finding attributed to a team, a feature, and an outcome.Deployment modesManaged, bring-your-storage, or self-hosted — a per-customer isolated data plane in every mode.Framework coverageControls that map directly to SR 11-7, NYDFS 500, FINRA 24-09, and SOC 2 — with the artifacts to prove it.
Framework coverage

Controls that map to named regulations.

Not generic compliance — controls that map directly to the frameworks a financial-services examiner asks about.

Available as presets today

Curated control bundles ship in the product. Drop in, scope to your environment, go.

SR 11-7NYDFS 23 NYCRR 500FINRA 24-09SOC 2 Type II
Configurable today, curated bundles in progress

All controls already enforceable via the policy engine. Curated, examiner-aligned bundles are sequenced next.

HIPAA Technical SafeguardsEU AI ActISO 42001NIST AI RMF
Industries served
Financial servicesEnterprise SaaSHealthcareLegalInsurancePublic sector
By the numbers

Built for the data path.

LLM providers

4live

OpenAI · Anthropic · Google · Azure OpenAI

Built-in rule overhead

Sub-ms

Regex, token, and schema checks at the data path

Retention floor

6yr

Fully Managed production, per FINRA 24-09

Data plane

Dedicatedper customer

Isolated in every deployment mode

Get started

See it on your own traffic

A 15-minute walkthrough of inline enforcement, the audit chain, and the examination package.

Request a demoGet the sample package

Founder-led · response within 1 business day