Product

Intelligent routing for the AI you already run

An in-perimeter intelligence layer that routes every request to the right model across cost, latency, compliance, quality, and personalization, without your data leaving your network.

Multi-axis

Optimization axes

Cost, latency, quality, compliance, personalization, and custom metrics you define

Hybrid

Deployment modes

On-prem, VPC, and air-gapped

OpenAI-compatible endpoint

Drop-in for your existing SDK

Fail-closed

Policy enforcement

Residency rules before routing

Capabilities

Built for hybrid AI at enterprise scale

Drop-in compatibility

OpenAI-compatible API. Point your SDK at Cardix; no application rewrite. Streaming supported.

Hybrid model catalog

On-prem inference, private deployments, and approved cloud APIs, unified under a single routing endpoint.

Multi-dimensional optimization

Balance cost, latency, quality, compliance, personalization, and any custom metric you define on every request. Tune the weights to match what your business values.

Personalized, self-improving routing

Cardix learns from your traffic which models excel for each team and workload, then adapts selection per request. Intelligence stays on your infrastructure.

Compliance-aware routing

Cardix deploys inside your network. Request content is never sent to Cardix-the-vendor. Outbound traffic goes only to model backends you approve.

Cost and quality visibility

Audit trail of every routing decision. Compare actual spend against an all-frontier baseline to quantify savings.

Flexible deployment

VPC, on-premises, or air-gapped. A single stateless service that fits your existing infrastructure.

Deep dive

How each capability works

One endpoint

Every model in your fleet, one routing layer

Replace separate endpoints for on-prem inference, private deployments, and approved cloud APIs with a single OpenAI-compatible interface. Cardix routes across your entire hybrid catalog.

Explore product →

Your apps

Cardix

On-prem

Cloud

Higher availability

Resilient routing when backends fail

When a model backend is unavailable, Cardix falls back to the next eligible option, respecting policy constraints on every retry. No custom failover logic required.

See architecture →

Primary backendActive

Fallback #1

Fallback #2

Cost intelligence

Right model, right price, every request

Stop defaulting every query to a frontier model. Cardix weighs cost against quality and latency on every call, then tracks spend against an all-frontier baseline.

Cost visibility →

Optimized spend

↓ 56%

vs. all-frontier

Illustrative

Metrics stay on your infrastructure

Data policies

Policy before routing, inside your perimeter

Every request is classified for sensitivity and task type. Residency rules are enforced before any model is considered. Cardix deploys in your VPC, on-prem, or air-gapped environment.

How policy works →

Your perimeter

1Classify sensitivity

2Apply residency rules

3Select eligible model

Personalization

Routing that learns your organization

Cardix improves from your traffic signals, learning which models excel for which teams and workloads. Intelligence stays on your infrastructure and adapts as your fleet evolves.

Self-improving routing →

EngineeringFast modelHigh

LegalOn-prem LLMHigh

FinanceFrontier (gated)Matched

Drop-in compatibility

Your OpenAI SDK works out of the box

Point your existing client at Cardix. Change the base URL and keep building.

openai_sdk.py

from openai import OpenAI

client = OpenAI(
    base_url="https://cardix.internal/v1",
    api_key="your-internal-key",
)

response = client.chat.completions.create(
    model="auto",
    messages=[{"role": "user", "content": "Summarize this report."}],
    stream=True,
)

Get started

Deploy intelligent routing inside your perimeter

Review the architecture, assess fit for your stack, and speak with our team about your deployment requirements.

See how it works Contact us