Your models. Your rules.
More intelligence.Less exposure.
A place for your team to think bigger. Bring your favorite AI models together, with a guard that keeps sensitive data where it belongs.
Every prompt checked. Every model protected.
A little less friction
Room for ideas.
A boundary for your data.
Write, explore, and solve with the right model. Your guard checks what leaves the workspace, so you can focus on what comes next.
One prompt. Four possible decisions.
Interactive preview. All names and data are examples.
Built around your work
Many minds.
One shared workspace.
Less switching between tabs. More space to do your best work, together.
A second opinion. In a second.
Send one prompt to several models. Compare their perspectives, and find the answer that works for you.
Bring your tools along.
Connect your MCP servers to chat. Set permissions and approvals for the tools your team uses.
Clarity comes standard.
See usage across your team. Manage credits, review activity, and keep spending in view.
For the builders
Your next idea.
Already connected.
The same models. The same guard. Bring LitexAI into your own apps with an OpenAI-compatible API that fits the way you already build.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.litexai.com/v1",
api_key=os.environ["LITEXAI_API_KEY"],
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "user", "content": "Let’s build."}
],
)Nothing out of sight
A clear trail.
For every decision.
See what the guard masks, flags, or blocks. Review and export audit events from one place.
See the guard in actionIllustrative audit events
Good questions
A little more clarity.
What does the guard actually do?
The guard checks each prompt before it reaches a model. Your policies determine whether to allow, mask, flag, or block the request.
Can my team use different AI models?
Yes. Your admins choose the models available in your catalog. Your team can switch between them or compare responses side by side.
Does the guard work with our own apps?
Yes. Requests through the OpenAI-compatible API use the same guard. You can connect an existing OpenAI SDK to your LitexAI endpoint.
Can we run LitexAI in our own network?
LitexAI supports cloud and self-hosted deployment. You can run it inside your own network with the models you choose.
Make space for what’s next
Big ideas.
Well protected.
Give your team a better place to work with AI.