CISO
Tamper-evident audit chain. Examiner-ready evidence, not screenshot collections.
Audit chain
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.
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
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.
Inbound
Request
Outbound
Provider
Audit substrate
ClickHouse · WORM archive · Cryptographic hash chain
Every request, response, and policy decision captured to immutable storage in your environment. Examination-ready evidence — never delegated to the control plane.
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
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.
Managed or self-hosted · isolated either way
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
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.
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.
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.
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’.
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.
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
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.
Curated control bundles ship in the product. Drop in, scope to your environment, go.
All controls already enforceable via the policy engine. Curated, examiner-aligned bundles are sequenced next.
Mocked from real product surfaces. Book a 15-minute walkthrough to see live data.
Observe
AI spend / mo
$12,840
↓ 8%
Success rate
94.2%
↑ 2.1%
Cost / outcome
$7.06
↓ 12%
cost by workflow $/outcome
Illustrative example. to see the real platform.
Enforce
Illustrative example. to see the real platform.
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
See how Meilynx gives your team full visibility, real-time governance, and data privacy—in one 15-minute walkthrough.
Book a focused 15-minute walkthrough. No commitment.