AI Governance Platform · Enterprise

Govern every LLM call.In your environment.

Compliant. Auditable. Under control.

Meilynx is the governance layer for enterprises that need to prove their AI is under control—not just fast and cheap. Inline policy enforcement, examination-grade audit trails, and cost attribution — running on dedicated infrastructure per customer, whether we operate it or you do.

How it works
Direct control mapping:SR 11-7 model riskNYDFS 500 audit trailFINRA 24-09HIPAA technical safeguardsMNPI & PII detection
Outcomes by role

Built for the people answerable to examiners.

Concrete artifacts you can hand to a regulator, an examiner, or a board — not slideware.

CISO

Tamper-evident audit chain. Examiner-ready evidence, not screenshot collections.

Audit chain

CCO

Auto-generated SR 11-7 model inventory and NYDFS certification package, from live traffic.

Model inventory

CTO

One-line SDK change. Zero-trust LLM access with policy-as-code your compliance team can read.

Policy-as-code

CFO

Per-team budgets with hard cost caps. Every dollar attributed before month-end.

Budget caps

How enforcement works

Every request, inspected inline.

One proxy sits between your applications and every LLM provider. Four inspection stages enforce policy before the request leaves your environment, and every call—prompt, response, and decision—is captured to a tamper-evident audit substrate your examiners can verify.

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 substrate

ClickHouse · WORM archive · Cryptographic hash chain

Capturing every call · 7-year retention

<50ms p99 added latency. Shadow mode supported for safe rollout.

Works with every major provider

OpenAI
Anthropic
AWS
Azure
Google Cloud
Vertex AI
Hugging Face
Architecture

Two planes. One trust boundary.

Each customer gets a dedicated data plane — managed by us inside isolated per-customer infrastructure, or run by you on your own. Either way it owns your audit substrate. The control plane is a shared SaaS that distributes signed governance bundles and aggregates telemetry metadata — never raw payload. The proxy is going Apache 2.0 at SOC 2 GA; the binary you run is the binary you can read.

Your environment

Managed or self-hosted · isolated either way

Trust boundary
  • Application

    Your apps & agents

  • Meilynx Proxy

    Validators · streaming · audit emission

  • Audit substrate

    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.

What it does

Govern. Comply. Optimize.

Three integrated capabilities, one deployment. Each pillar runs at the proxy — in your dedicated infrastructure, managed or self-hosted — and feeds the same audit substrate.

01 / Govern

Policy enforcement at the request layer.

Three-tier detection (regex, ML classifier, LLM judge) inspects every prompt and response in flight. Block, redact, or log based on policy—per team, per app, per model.

  • Model allow / deny lists
  • PII, MNPI, PHI detection
  • Prompt injection & jailbreak
  • Per-tenant policy isolation
  • Block, redact, or shadow mode
02 / Comply

Audit trail your examiners will accept.

Every request, response, policy decision, and human review is captured to immutable storage in your environment. Controls map directly to named regulations—not generic ‘best practice’.

  • Tamper-evident hash chain
  • ClickHouse + S3 WORM archive
  • 7-year retention by default
  • Examination package export
  • Reviewer & sign-off workflows
03 / Optimize

Cost correlated to outcomes & risk.

The only platform that ties LLM spend to business outcomes and compliance events in a single view. Risk-adjusted spend by team, app, and model—not just raw token bills.

  • Per-team budgets & enforcement
  • Outcome ingestion API
  • Model routing recommendations
  • Anomaly detection on spend
  • Compliance events as outcomes
By the numbers

Production-grade. Examination-ready.

Operational characteristics that matter when AI workloads are critical infrastructure.

Latency overhead

<50ms

P99 added latency on inline policy enforcement

Provider coverage

4/ live

OpenAI · Anthropic · Google · Azure OpenAI

Time to deploy

1day

Managed proxy · 1–2 weeks self-hosted

Data residency

Dedicatedper customer

Isolated data plane in every deployment mode · raw payload never reaches shared systems

Regulation coverage

Built for regulated industries.

Controls map directly to named regulations—not generic best practice. The proxy already enforces the underlying controls; what ships next is preset bundles, not capability.

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
The product

See it running.

Mocked from real product surfaces. Book a 15-minute walkthrough to see live data.

Observe

Cost, performance, and outcomes.

  • Cost analytics tied to business outcomes, not just token counts
  • AI health monitoring with anomaly detection (proprietary ML)
  • Custom KPIs by workflow, team, and customer segment
  • Optimization recommendations and impact simulation
analytics · cost & outcomes

AI spend / mo

$12,840

↓ 8%

Success rate

94.2%

↑ 2.1%

Cost / outcome

$7.06

↓ 12%

cost by workflow $/outcome

  • chat-support
    $14.04
  • doc-summary
    $9.12
  • code-gen
    $6.28
  • search
    $4.09
Anomalydoc-summary cost +34% vs. baseline

Illustrative example. to see the real platform.

Enforce

Governance rules that run in production.

  • Model allow/deny lists and token limits per workflow
  • Cost caps and budget enforcement in real time
  • 200+ governance policies — safety, data leakage, PII, industry-specific
  • Draft, review, and publish rules with confidence
governance · live intercept log
  • PROMPT
    PII detectedSSN pattern in user message
    BLOCKED
  • RESPONSE
    Data leakage blockedAPI key exposed in model output
    BLOCKED
  • PROMPT
    Harmful contentPolicy violation · jailbreak attempt
    BLOCKED
  • RESPONSE
    Off-topic driftResponse outside allowed scope
    WARN

Illustrative example. to see the real platform.

Frequently asked questions

Questions from CISOs, compliance, and engineering leaders.

What happens to my prompts and responses?

They stay in your dedicated, isolated infrastructure — whether Meilynx operates it (Managed) or you do (Self-Hosted). The proxy processes prompts and responses there; only hashed, aggregate metadata flows to the shared control plane for dashboards and analytics. Raw payload never reaches Meilynx-shared systems.

What's your SOC 2 status?

SOC 2 Type I audit is engaged with Prescient Assurance; fieldwork is scheduled and the report is targeted for mid-July 2026 at the earliest. Type II observation begins immediately after. Initial scope covers the Security and Confidentiality Trust Service Criteria across our Managed and Self-Hosted deployment modes.

Is the proxy open source?

Yes — the proxy is going Apache 2.0 at SOC 2 GA (mid-July 2026 at the earliest), and before our first paying customer. Design partners deploying with us today get source access under mutual NDA. Self-hosted operators run their own build of the same binary the Managed and BYOS modes run.

How long does deployment actually take?

All three modes deploy the proxy into infrastructure dedicated to your organization — the difference is who operates it, not whether your data is mixed with anyone else's. Fully Managed: ~1 day — the proxy runs in a per-customer environment we operate, and you change one base URL. Bring Your Storage: 3–5 days, with audit data landing in your storage. Self-Hosted: 1–2 weeks, including bundle signing keys and your own observability hookups. All three modes share the same proxy binary and policy engine.

Do I need to change my application code?

No. Meilynx integrates at the SDK or URL-level — typically a one-line configuration change. Your existing AI calls continue to work as-is.

Can I enforce different policies per team or workflow?

Yes. Governance rules are scoped by workflow, team, environment, or customer segment. You can set different budgets, model restrictions, and safety thresholds for each. We also built industry-specific presets to get you started quickly.

What if I use multiple AI providers?

Meilynx works across OpenAI, Anthropic, Google, and other providers. You get unified cost analytics and governance regardless of which models you use.

How do you handle agentic and multi-step workflows?

Meilynx traces full agent execution chains — including retries, tool calls, and sub-agent invocations — so you can attribute cost and enforce policies at the workflow level, not just per-call.

How does Meilynx fit our existing IdP and SIEM?

OIDC / SAML SSO via Okta or Microsoft Entra ID for the control plane. Audit events stream to Splunk, Datadog, or any S3-compatible sink — proxy-side, in your environment, with no payload data crossing the wire to a SaaS aggregator.

Trust & compliance posture

SOC 2 Type I· Prescient Assurance · fieldwork scheduled
Open source proxy· Apache 2.0 · at SOC 2 GA · source access under NDA
GDPR-ready
HIPAA-ready
EU AI Act-aligned
Data residency· Per-customer isolated
Ready to evaluate Meilynx?

Take control of your production AI.

See how Meilynx gives your team full visibility, real-time governance, and data privacy—in one 15-minute walkthrough.

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