creates infrastructure for hardware design
CAD Software for Modern Hardware Design
The industry is due for a refresh
Design demands have outpaced today’s hardware design infrastructure.
We're laying the foundation for a modern hardware design toolkit, so that you can create new design tools never before possible.
- GPU-powered engine
- Pay-as-you-go
- Remote streaming
- Open API-compliant
The Ecosystem
Develop your own hardware design tools with our infrastructure, or use our pre-built tools.
Your tools
BUILD OFF OUR APIsTraining environments
Powerful, modern design tools
Whether you're a hobbyist, part of a startup, or involved in a large enterprise, Zoo's secure infrastructure is built to expedite the development and growth of your projects and tools.
Modeling App
Public AlphaA CAD modeling tool that brings the best of both worlds from point-and-click and code editing.
Developer Platform
Learn how to call our KittyCAD and ML-ephant APIs, build your own hardware design tools, and much more.
Move faster with lower costs
Save time and engineering resources through increased designer productivity. Reduce costs through automated workflows, higher performance, and customized tools.
Minimize hardware requirements
Offload the computation for geometry processing and visualization rendering to our Geometry Engine, allowing for tools built for any device, any operating system.
Accelerate design with ML
Using tools like our Text-to-CAD interface, generate hardware designs that you can finalize. Extend Text-to-CAD via our Machine Learning APIs.
Start building with
Get started with 40 free minutes of API access, followed by a cost of $0.50 per minute for additional usage.
Modeling App, Text-to-CAD, and Diff Viewer are currently free to use.
import { endpoints, type PromptResponse } from '$lib/endpoints'
import { error, json } from '@sveltejs/kit'
import type { RequestHandler } from './$types'
export type PromptLoadResponse = {
status: number
body?: PromptResponse
}
export const POST: RequestHandler = async ({ cookies, fetch, request }) => {
const token = cookies.get('__Secure-next-auth.session-token')
if (!token) throw error(401, 'You must be logged in to use this API.')
const body = await request.json()
if (!body?.prompt) throw error(422, 'Please include a model ID under the "prompt" key.')
const response = await fetch(endpoints.prompt(), {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`
},
body: JSON.stringify({
prompt: body.prompt
})
})
const data = (await response.json()) as PromptResponse
return json({
status: response.status,
body: data
} satisfies PromptLoadResponse)
}
View on GitHub- 4 client libraries
- Learnable interface
- 5 inspiring tools
- Autoscaling infrastructure