Zoo provides a GPU-powered CAD software toolkit for hardware design, enabling engineers to create custom design solutions through a remote streaming infrastructure and an open API. The platform addresses the inefficiencies of traditional hardware design processes by minimizing hardware requirements and enhancing designer productivity with automated workflows.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+5Founders
Product
Problem
Traditional hardware design processes are often inefficient due to high hardware requirements and the need for specialized expertise. This can lead to bottlenecks in design workflows and increased costs for engineering teams.
Solution
Zoo provides a GPU-powered CAD software toolkit designed to streamline hardware design through a remote streaming infrastructure and an open API. The platform minimizes hardware requirements by offloading computation for geometry processing and visualization rendering to its Geometry Engine, enabling tool accessibility across various devices and operating systems. Zoo enhances designer productivity with automated workflows and ML-driven tools like Text-to-CAD, which generates CAD models from text prompts. The platform's ecosystem allows users to develop custom hardware design tools using Zoo's APIs or leverage pre-built tools and third-party integrations, fostering a collaborative and efficient design environment.
Target Audience
The primary audience includes hardware engineers, designers, and developers ranging from hobbyists and startups to large enterprises seeking to expedite hardware design processes and reduce costs.
Features
- GPU-powered geometry engine for efficient processing and rendering
- Remote streaming infrastructure for accessing CAD tools from any device
- Open API for developing custom hardware design tools and integrations
- Text-to-CAD interface for generating CAD models from text prompts using machine learning
- Pre-built tools including a Modeling App and Diff Viewer
- Support for client libraries in Python, TypeScript, Go, and Rust
- Autoscaling infrastructure to handle varying design demands
- KCL (KittyCAD Configuration Language) support for parametric design