Skip to main content

What is ONE WARE?

ONE WARE is an ecosystem of tools for creating and deploying efficient Vision AI and Edge AI solutions — from dataset to production, without requiring deep machine learning expertise.

OWS 1.0

The ONE WARE Ecosystem​

ONE WARE Studio​

A cross-platform desktop application (Windows, macOS, Linux) that serves as the central hub for all ONE WARE products. It is open-source and extensible through a plugin system.

  • FPGA and embedded systems development environment
  • Extensible plugin architecture for custom tools and hardware support
  • Plugin marketplace for hardware integrations and extensions
  • Install ONE WARE Studio →

ONE AI​

A proprietary algorithm that automatically creates optimized Vision AI models for your specific hardware and use case. No manual neural network design required.

  • Supports classification, object detection, and segmentation tasks
  • Optimizes models for CPU, GPU, TPU, and FPGA targets
  • Exports to TensorFlow, TF Lite, ONNX, and VHDL formats
  • Get started with ONE AI →

ONE AI Extension​

An extension for ONE WARE Studio that provides a visual interface for the entire AI model creation workflow:

  1. Load and label your dataset
  2. Configure hardware targets and model settings
  3. Train your model (locally or in the cloud)
  4. Export and deploy to your target hardware

ONE WARE Cloud​

The cloud service that powers ONE AI training and manages online projects:

  • Run ONE AI training jobs in the cloud
  • Manage projects and datasets online
  • REST API for automation and integration
  • Option to self-host for private data
  • Cloud API Documentation →

How It All Fits Together​

ONE WARE Studio is the central desktop application. The ONE AI Extension adds a powerful Vision AI module on top of it — for labeling datasets, configuring training, and exporting models. For training, you have two options:

Option A — Train in the Cloud​

Option B — Self-Hosted Training​

Run training on your own hardware while keeping your datasets private. Learn more about Self-Hosted Training →

Next Steps​