The best model
for every task.
Automatically.

One endpoint. We identify your task, route to the model proven best at that specific work, and return the result. Frontier-quality output. Significantly lower cost. One line of code.

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85.7% on LiveBench

Beats the best single model across 682 tasks

54% on KWBench

Nearly double the best single model (27.9%)

7.9× cheaper than frontier

Frontier-quality output at a fraction of the cost

Read the benchmarks →

Sovereign AI API

Autark Cloud

Serverless AI inference and dedicated GPU clusters behind a single OpenAI-compatible endpoint. Every request is routed to the best model for the task and runs on zero data retention infrastructure.

  • OpenAI-compatible: one base URL change, no rearchitecting
  • Automatic best-model routing across open-source and frontier models
  • Serverless inference or dedicated GPU clusters in your region
  • Zero data retention: GDPR DPA included as standard
Explore Autark Cloud
python
from openai import OpenAI

client = OpenAI(
    api_key="autark_sk_YOUR_KEY",
    base_url="https://api.autark.ai/v1",
)

response = client.chat.completions.create(
    model="autark",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

One API. Every model. Always the right one.

Not every task needs the chief of surgery. But when it does: you better not send the intern. We identify what your request actually demands: summarization, extraction, reasoning, classification: and at what depth level. Then we route to the model we've verified performs best at that specific work through continuous blind evaluation. No single model wins everything. We make sure you always get the one that wins yours.

You shouldn't have to bet your business on a single model.

Cheaper at equivalent quality

Every prompt routed to the right model. Simple tasks hit efficient models — complex reasoning gets frontier power only when it actually matters. You're not paying GPT rates to extract a date from an email.

Quality that improves on its own

Every new model that launches enters our evaluation pipeline. If it beats the current leader for a task type, it becomes the new default. Your code never changes. Your results get better.

No competitive risk

We don't build models. We don't build products that compete with yours. Our only revenue is your inference. If you succeed, we succeed. No conflict. No lock-in.

Every new model is a free performance upgrade.

Models will never be uniformly good at everything. Every architecture has different failure surfaces. Every training corpus creates different blind spots. Every release reshuffles the landscape. This chaos is permanent: and permanent chaos means permanent optimization work. Our evaluation pipeline absorbs and routes every new model in hours. You get the upgrade without touching a line of code.

We don't guess. We prove it. Continuously.

Every task type we route is backed by a continuous blind evaluation pipeline. This methodology is the defensible asset.

Step 1

New model drops

Enters evaluation automatically. Tested against every task type in our matrix: blind, graded, cost-weighted.

Step 2

We prove it's better

A judge model scores every response against a task-specific rubric. It doesn't know which model wrote what. No bias.

Step 3

Routes update

Your next request hits the new winner. No code changes, no migration. Your results improve on their own.

Model Access

You define the objective. We handle the wiring.

Autark provides sovereign, pre-optimised AI for every business use case: no model expertise required. We've done the configuration, fine-tuning, and infrastructure work so your team can just plug in and go. Compatible with frontier providers: routed through Autark, not dependent on them.

4–10×cheaper than leading models from the big AI labs
3–5×faster inference on dedicated LPUs & GPU clusters
One APIOpenAI-compatible connection, zero rearchitecting
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How Autark compares.

Other providers ask you to trust their policy. Autark makes data exposure architecturally impossible: and delivers more on top.

Autark
OpenAI Enterprise
Anthropic
Google Vertex
ZDR enforced at infrastructure level: no contractual promise required
Best model per task, every time: no code changes
Built-in prompt quality layer: every request optimized before inference
Access to all major models: not locked to one provider
Sovereign European cloud with regional data residency
Yes
Partial
No

Privacy isn't a setting. It's the architecture.

Autark runs on Zero Data Retention infrastructure. Prompts are processed in memory and discarded. Nothing is stored. Nothing is used for training. This isn't a toggle in your settings: it's how the inference pipeline is built.

Sovereignty is a staircase, not a checkbox. Start with contractual ZDR on serverless infrastructure. Move to rented EU cards for physical data residency. Graduate to your own hardware in a jurisdiction you choose. Same models at every tier: only the silicon changes. Same integration. Your sovereignty grows as your trust deepens.

Zero Data Retention

Prompts processed in memory and discarded. Architectural, not contractual.

GDPR DPA included

Standard, not an enterprise upgrade. Data processed and gone.

HIPAA & SOC 2

Covered through infrastructure partners' BAAs. Ask for details.

Infrastructure Partners

GroqFireworks AIHetznerNebius

European cloud with regional data residency. Finland, Germany, France, Iceland: or any region where our infrastructure partners operate. Learn more →

Pay for performance. Not for a logo.

Three capability levels. Pay only for the tokens you use. Shallow tasks automatically hit cheaper models. No configuration required.

See which model wins your tasks.

Get an API key. Make a few calls. Compare quality and cost against your current provider. The routing is automatic: you'll see the difference in your first session.

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Common questions.

Anything not covered here? Talk to us directly.