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Plug in your own data to deliver accurate, grounded responses
CLōD’s RAG feature gives teams the power to bring proprietary knowledge into every response, so your AI stays accurate, aligned, and useful — without hallucinations.
Recognized by
Supported AI Models
The AI Gorvenance Feature
With CLōD's AI RAGs Add-on, you can tailor your AI model to align it to your development needs, without hallucinations.

Whether you’re building AI copilots, internal tools, or customer-facing apps, RAG makes sure your model doesn’t just respond; it responds with your facts.
Bring your own Data
Connect internal documents, databases, or websites (no fine-tuning needed).
Grounded Generation
Responses are built from real knowledge, not just model predictions.
No Setup Headaches
Add RAG to any model in minutes using our built-in connectors and templates.
Fast & Reliable
Real-time retrieval and response without sacrificing latency or throughput.
Scales With You
Use your own compute or ours. Add sources as your knowledge grows.
Unified API
One API call, two layers: model + retrieval. No new stack required.
Who is the ai RAG feature for?
Product & Innovation Teams

Power AI assistants and search tools that actually know your business, not just general facts.

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.
Engineering Leaders

Connect internal content directly into your model stack. No custom pipelines, no brittle plugins.

Policies on every request, protected data, uptime with fallback & smart routing, and 360° monitoring. Reliability for devs without slowing deploys.
Enterprise Teams
Scale AI without scaling risk: real-time policy enforcement, sensitive data protection, enterprise-grade reliability, and in-depth monitoring.

Keep sensitive data private and avoid hallucinations. Use trusted sources to generate trusted outputs.

AI Consultant
Deployable governance your clients can adopt quickly: enforce rules, block risky outputs, maintain reliability, and provide 360° monitoring to turn policy into practice fast.

Deploy smarter copilots and domain-specific assistants for clients in days.

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.