> ## Documentation Index
> Fetch the complete documentation index at: https://docs.orq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Enterprise | Sovereign AI

> How Orq.ai covers every layer of AI sovereignty: business entity, investors, infrastructure, model routing, ZDR, and data privacy in the European Union.

Sovereignty over AI means more than choosing where a model runs. It requires control at every layer of the stack: where the business is incorporated, who funds it, where infrastructure is hosted, how requests are routed and inferred, and how data is protected at rest and in transit.

**Orq.ai** covers each of these layers.

## Business Entity

**Orq.ai** is incorporated and headquartered in **Amsterdam, Netherlands**, within the European Union. The company was founded in 2022.

## Investors

**Orq.ai** is backed by European and European-aligned investors.

**Seed round (2025):** Led by **seed + speed Ventures** and **Galion exe**, with participation from Curiosity VC, Spacetime, XO Ventures, xdeck ventures, Waves Capital, and GoldenEggCheck.

**Pre-seed:** Led by **Curiosity VC** and **Spacetime** (Adriaan Mol), with angels including Arjé Cahn (Bloomreach) and Koen Köppen (Mollie, Klarna).

## Infrastructure

All data stored within the **Orq.ai** platform resides in data centers located in the European Union, running on Google Cloud Platform.

| Control               | Detail                                                        |
| --------------------- | ------------------------------------------------------------- |
| Encryption at rest    | AES-256                                                       |
| Encryption in transit | TLS 1.2 across all connections                                |
| Compliance            | SOC 2, ISO 27001, and GDPR via Vanta with an independent CISO |
| Deployment option     | VPC deployment on AWS or Azure for additional isolation       |

<CardGroup cols={2}>
  <Card title="VPC Deployment" icon="cloud" href="/docs/enterprise/vpc-deployment">
    Deploy into your own VPC on AWS or Azure.
  </Card>

  <Card title="Trust Center" icon="shield-check" href="https://trust.orq.ai">
    Real-time security and compliance status.
  </Card>
</CardGroup>

## Model Router

The **AI Router** is an EU-hosted gateway that routes traffic across 300+ models from all major providers through a single endpoint. Your application sends requests to one **Orq.ai** endpoint; no direct connections to individual provider APIs are required from your side.

This centralises data flow through EU infrastructure regardless of which underlying model handles the request.

<Card title="AI Router" icon="code-fork" href="/docs/router/using-the-router">
  Configure and route across models from a single EU-hosted endpoint.
</Card>

## Model Inference

The **AI Router** includes a **Location filter** to restrict the model pool to providers that run inference in a specific region. Set the filter to **Europe** to see only European-hosted models.

Many providers offer European inference endpoints. Use the Location filter to find them rather than relying on a static list.

## Zero Data Retention

The **AI Router** includes a **Zero Data Retention (ZDR) filter**. When enabled, the model pool shows only models and providers that guarantee no request data is retained by the provider after the call completes.

This is a provider-level guarantee applied at the routing layer: requests are only dispatched to providers that have confirmed ZDR support.

<Card title="AI Router Models" icon="list" href="/docs/router/using-the-router#filters">
  Enable the ZDR filter to restrict your model pool.
</Card>

## No Training on Your Data

No data that flows through **Orq.ai** is ever used to train or fine-tune any models by **Orq.ai**.

Provider-side training policies vary. Most providers allow training to be disabled; this must be configured directly in the provider's platform. See [Data Compliance](/docs/administer/data-compliance) for details on how **Orq.ai** handles data at the platform level.

<Card title="Trust Center" icon="shield-check" href="https://trust.orq.ai">
  Full data handling policy and real-time compliance status.
</Card>

## PII Anonymization

**Orq.ai** provides three layers of PII control:

**Input masking**: Flag input variables as PII. The value is sent to the model but never stored or shown in logs or traces within **Orq.ai**. To prevent the value from reaching the provider entirely, combine input masking with a ZDR-compliant provider from the [Zero Data Retention](#zero-data-retention) filter.

**Output masking**: Mask entire model responses. Tokens are exchanged with the model but the content is never stored or displayed within **Orq.ai**.

**PII Anonymization evaluator**: Verify that PII has been correctly removed or anonymized in model outputs. Useful in healthcare, legal, and financial contexts.

<Card title="Data Compliance" icon="lock" href="/docs/administer/data-compliance">
  Configure input masking, output masking, and data retention.
</Card>