DeGirum develops an AI Hub that integrates hardware and software infrastructure to streamline the development and deployment of edge AI applications. By providing a unified software toolchain and flexible hardware options, it reduces time to market and minimizes costs associated with multiple hardware and application investments.
Funding
$42.1M 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.
Founders
Product
Problem
Developing and deploying edge AI applications is complex, requiring expertise in hardware selection, software integration, and model optimization. The traditional approach involves investments in various hardware platforms, multiple application software stacks, and model porting efforts, leading to increased costs and delayed time to market.
Solution
DeGirum provides an AI Hub that simplifies edge AI development by integrating hardware and software infrastructure. The platform offers a unified software toolchain, including a Python SDK and C++ APIs, along with model and device management services. This allows developers to design, evaluate, and deploy AI models on various hardware options, including the DeGirum Orca accelerator, NVIDIA GPUs, EdgeTPUs, and CPUs, using a single software toolchain. By streamlining the development cycle, DeGirum reduces the time and costs associated with building and deploying edge AI applications.
Target Audience
The primary target audience includes developers and organizations building edge AI applications in areas such as object detection, classification, and complex pipelining.
Features
- Unified software toolchain with Python SDK and C++ APIs for developing AI applications.
- Model and device management services for seamless deployment and remote management.
- Cloud compiler and evaluation tools for integrating machine learning models.
- Support for various hardware options, including DeGirum Orca, NVIDIA GPUs, EdgeTPUs, and CPUs.
- Ability to test applications on real hardware before investing in it.
- Tools for object detection, classification, semantic segmentation, pose estimation, and gesture detection.