Scale faster, safer,
and smarter
Lamatic’s middleware serves as a backbone to all your builds. Serverless infrastructure makes scaling smooth and easy.
Request a Demo.png)
Lamatic’s serverless edge ensures your apps respond instantly, whether your users are in New York, Tokyo, or Berlin. No DevOps team required, zero scaling headaches, millisecond response times globally
With MCP, you have the power to define the boundaries of AI interaction with your systems. By setting these parameters, you ensure that AI tools enhance your operations without compromising security or data integrity.
Separate dev, staging, and production environments so your team can test, validate, and release without fear. Validate results with real-world data, push to staging or deploy to production in one click
Transform messy, unstructured data into clean, AI-ready knowledge. ETL pipelines (Extract, Transform, Load). Sync across APIs, databases, or cloud storage. Built-in Vector Store for lightning-fast retrieval in RAG apps
Connect Everything Without the Chaos

Move Faster Without Breaking Things
Think of Middleware as your AI control room. Instead of duct-taping APIs, you drag, drop, and deploy. Cut out the backend grind. Launch new AI features in weeks, not months, while staying reliable.

Never Lose Progress or Risk Rollbacks
Track every change, every test, every deployment. Experiment boldly, knowing you can rewind anytime.
Roll back an update that slowed API performance
Compare results between two prompt strategies
Audit changes when multiple developers contribute
Bring Middleware Right Into Your Code
Embed workflows directly with SDKs—just a few lines of code to supercharge your app.
//npm i lamatic
import { Lamatic } from "lamatic";
const lamatic = new Lamatic({
apiKey: "your-api-key",
projectId: "your-project-id",
endpoint: "your-endpoint",
});
## one line execution
const response = await lamatic.executeFlow(flowId, payload);#npm i lamatic
import { Lamatic } from 'lamatic'
const client = new Lamatic({
projectId: process.env.LAMATIC_PROJECT_ID,
apiKey: process.env.LAMATIC_API_KEY,
})
export default function Page() {
const handleClick = async () => {
const response = await client.executeFlow(process.env.LAMATIC_FLOW_ID, {
prompt: 'hello',
})
console.log(response)
}
return (
<button onClick={handleClick}>Execute Flow</button>
)
}import os
import requests
response = requests.post(
os.getenv('LAMATIC_ENDPOINT'),
headers={
"Authorization": f"Bearer {os.getenv('LAMATIC_API_KEY')}",
"Content-Type": "application/json",
"x-project-id": os.getenv('LAMATIC_PROJECT_ID')
},
json={
"query": """query ExecuteWorkflow($workflowId: String!, $topic: String) {
executeWorkflow(workflowId: $workflowId, payload: {topic: $topic}) {
status
result
}
}""",
"variables": {
"workflowId": os.getenv('LAMATIC_WORKFLOW_ID'),
"topic": "topic"
}
}
)
print(response.json() if response.status_code == 200 else f"Error: {response.status_code} - {response.text}")curl -X POST https://<project>.lamatic.dev \
-H "Authorization: Bearer ${LAMATIC_API_KEY}" \
-H "Content-Type: application/json" \
-H "x-project-id: YOUR_PROJECT_ID" \
-d '{
"query": "query ExecuteWorkflow($workflowId: String!, $prompt: String) { executeWorkflow(workflowId: $workflowId, payload: { prompt: $prompt }) { status result } }",
"variables": {
"workflowId": "YOUR_WORKFLOW_ID",
"prompt": "The excited car draws."
}
}'With Lamatic Widgets, you can embed customizable GenAI components into any app with just a few lines of code. Don’t just build workflows—ship beautiful user experiences, fully customizable to match your brand
What Lamatic made happen:

.jpeg)






Let's turn your expertise into AI Agents together
Book a demo to see how Lamatic can help your turn your pain point or disruptive idea into a Reliable Agentic Application.
Get a Demo
