Sovereign AI Gateway
The AI gateway for every LLM
One API to access, route and control AI across models, teams and applications.
Trusted by teams operating AI in production
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How it works
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Smart Routing
Stop paying frontier prices for simple prompts.
Orq.ai routes each request to the model that fits the task, balancing cost, speed and quality
MODEL SPEND
lower model costs
Most requests don’t need the most expensive model. Simple prompts go to fast, low-cost models. Hard ones still get frontier quality.
Cost
Cheapest model that passes
Speed
Latency targets per route
Quality
Evaluated before and after
REQUEST
ROUTED TO
COST / REQ
Classify support ticket
SIMPLE
€0.0001
Summarize meeting notes
SIMPLE
€0.0003
Extract invoice fields
STANDARD
€0.0021
Translate product page
STANDARD
€0.0034
Draft contract analysis
COMPLEX
€0.0410
ILLUSTRATIVE EXAMPLE VS. SENDING ALL TO FRONTIER
-48% SPEND · SAME EVAL SCORE
For platform and enterprise teams
Ready for the whole organization, not just one developer.
See what is being used, decide what is allowed, and enforce it before requests reach a provider.
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Observe
Usage and cost attributed to every user, team, and project.
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Control
Per-user and per-team limits on usage and spend, enforced automatically.
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Govern
Role-based permissions across teams, projects, and environments.
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Route
Simple prompts go to cheaper models. You set the quality bar.
INTEGRATIONS
Works with the stack you already run.
Testimonials
Trusted by teams running AI at scale.
LLM providers
Explore LLM providers
Find model creators and inference providers. Compare available models, regions and zero data retention coverage.
FAQs
Frequently asked questions
What is an AI gateway?
An AI gateway, also called an LLM gateway or AI router, is a control layer between your applications and AI providers. It gives teams one place to access models, route requests, apply policies, monitor usage and control costs.
How is Orq.ai different from calling model providers directly?
Instead of integrating and managing every provider separately, Orq.ai gives you one API and one control plane across models and providers. You can switch models, apply routing rules, manage access and monitor usage without rebuilding your application each time.
Can we use multiple AI models and providers through Orq.ai?
Yes. Orq.ai is designed to give teams access to multiple models and providers through a single interface, so workloads can be routed based on cost, quality, latency, policy or availability.
How does Orq.ai help control AI costs?
You can track usage and spend centrally, set budgets and quotas, and use routing rules to avoid sending every request to the most expensive model. Smart routing can direct simpler tasks to more cost-efficient models where appropriate.
How does Orq.ai support governance and security?
Teams can define who can access which models and tools, apply policies such as PII redaction to AI traffic, monitor requests and maintain visibility through audit trails and observability. This makes control part of the runtime rather than something added after the fact.
Do we need to replace our existing AI stack?
No. The gateway is designed to sit between your existing applications, agents and workflows and the models they already use. You can introduce it incrementally without rebuilding the rest of your stack.
Get your API key and start routing in minutes.
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