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AI Inference built on intelligence
Pick your model. Tune for speed, cost, or Latency.
FAIL-SAFE and reliable by default.
CLōD lets you build AI apps and agents your way with Governance and RAG Add-ons.
Recognized by
Supported AI Models
The CLōD Difference
CLōD is the inference layer for teams who want full control over their AI performance and cost. Tailor your Open Source models strategy by Price, Latency, or Token rate.

Add governance or RAG when needed. Skip it when you don’t. CLōD gives you everything you need to build smarter, scale faster, and stay in control.
Custom Inference Strategy
Prioritize latency, cost, or token rate dynamically. Choose what matters most.
Best Models, Period.
Run Llama 3, Deepseek GPT-4, Claude, Grok, Gemini, Llama 3, Qwen, and more, all in one API.
Prices That Don’t Punish Growth.
Pay as little as $0.02 per 1M tokens. Cheaper than DeepInfra and Novita.
Built for Speed.
Up to 275 output tokens/sec. Low latency, high throughput. Production-ready.
No Lock-In, Ever.
Bring your own compute or run on ours. Full flexibility, no penalties.
Dev-Friendly to the Core.
One simple API. No over-engineered SDKs. Clear docs. Fast onboarding.
GOVERNANCE
ADD-ON
Enable audit logs, filtering, and policies (only when you need them.)
RAG
ADD-ON
Plug in your own data sources to deliver accurate, grounded responses
Who is CLōD for?
AI Consulting & Platform Vendors

Offer clients ready-to-deploy inference infrastructure with optional safety controls.

Deployable governance your clients can adopt quickly: enforce rules, block risky outputs, maintain reliability, and provide 360° monitoring to turn policy into practice fast.
AI-Forward Enterprises
Enforces policies automatically, prevents sensitive data leaks, blocks harmful outputs, and generates audit-ready logs in real time, giving control, compliance, and peace of mind.

Build trusted AI products with compliance options and predictable costs.

AI Product Engineers

Build AI-powered features fast with the models users expect (GPT, Claude, Gemini), without overspending.

Policies on every request, protected data, uptime with fallback & smart routing, and 360° monitoring. Reliability for devs without slowing deploys.
LLM Stack Architects

Choose the best model for each use case without rebuilding infrastructure or switching APIs.

Scale AI without scaling risk: real-time policy enforcement, sensitive data protection, enterprise-grade reliability, and in-depth monitoring.
Quick FAQs
How do I integrate CLoD into my workflow (SDKs, APIs)?

You can connect via direct API calls today, use the OpenAI SDK with minimal setup, and soon we’ll release official SDKs and support for open standards like MCP (Model Context Protocol), a new way to plug tools together without extra coding.

How long does setup take?

Setup takes less than 5 minutes. You simply create an account, generate an API key, and drop it into your workflow. From there, you can start making governed AI requests right away after selecting a preset rulset or customizing your own.

Can I run CLōD on my own infrastructure, or only on yours?

Today, CLōD runs as a managed service on our infrastructure. We handle the reliability, monitoring, and updates so you don’t have to. In the future, we plan to offer deployment options that let you run CLōD on your own infrastructure if needed.

What AI models are currently supported?

CLoD currently supports 26 leading models from providers including OpenAI, Anthropic, Google, Fireworks, xAI, Together, Sambanova, Cerebras, and Groq. This includes well-known models like GPT-4.1, Claude Opus 4, Gemini 2.5, Grok 4, and multiple Llama variants. We’re continuously adding new models, so you’ll always have access to the latest and best-performing options.

With CLōD
AI governance isn’t an afterthought.