Sovereign AI Inference for Europe: Polarise Drive

Every AI feature runs on the same thing underneath: inference. Someone has to actually run the model when a user sends a request. Today, most of that happens on infrastructure outside Europe, even when the product itself is built by a European company.

Polarise Drive changes where that inference happens, without changing how you build.

What Polarise Drive Is

Polarise Drive is a managed inference platform built on two components: a Model Gateway for standardized access to AI models, and an Agentic Engine for building and running AI agents (upcoming). Both work standalone, and both work together.

The Model Gateway is OpenAI SDK compatible. If your product already talks to an OpenAI-compatible API, you don’t rewrite anything. You change the base URL and the API key, and requests start running on Polarise infrastructure instead.

Sovereign AI Inference, in Practice

“Sovereign AI” gets used loosely. In practice, it means one thing: your data is processed under a legal framework you actually control. Polarise Drive runs on European infrastructure, operated by a European legal entity, under EU law. That means: Polarise owns the full stack from infrastructure to token, without third party risk.

This matters for any company handling customer data, regulated data, or anything falling under the EU AI Act, where the question isn’t just “is my provider fast enough,” it’s “who can access this data, and under which jurisdiction.”

Models Built for Different Jobs

Drive gives you access to a growing collection of open-weight models.

Available today:

Model	Provider	Task
GLM_5.2	Zhipu AI	Text Generation (general-purpose)
Qwen_3.8-27b	Qwen	Text Generation
Nemotron_3-ultra	Nvidia	Text Generation
Deepseek_v4-flash	DeepSeek	Text Generation

Upcoming:

Model	Provider	Task
Mistral Large 3	Mistral AI	Text Generation
Mistral Medium 3.5	Mistral AI	Text Generation
Kimi K2.7 Code	Moonshot AI	Code Generation
gemma-4-31b	Google	Vision / Image-to-Text
DeepSeek-OCR	DeepSeek AI	OCR / Document Understanding
EmbeddingGemma-300M	Google	Embeddings
Qwen3-Reranker-4B	Qwen	Reranking
Qwen3-ASR	Qwen	Speech-to-Text
GLM-ASR-Nano	Zhipu AI	Speech-to-Text

New models are added monthly. Don’t see what you need? Reach out and we’ll add it.

Getting Started

There’s no migration project. You create an account, generate an API key, and point your existing integration at the new endpoint. If you’re already using an OpenAI-compatible setup, that’s the entire change.

import openai
import os

client = openai.OpenAI(
    api_key=os.environ.get("POLARISE_API_KEY"),
    base_url='https://api.drive.polarise.com/v1'
)

completion = client.chat.completions.create(
    messages=[{
        'role': 'user',
        'content': 'Summarise this contract clause.'
    }],
    model='glm-5.2'

)

Want to see how fast this actually is? to request access or explore documentation.