Preferred Networks develops deep learning frameworks and robotics technologies to enhance automation in manufacturing, transportation, and healthcare. Their solutions address inefficiencies in traditional processes by enabling real-time data analysis and decision-making through advanced algorithms and custom hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Many industries face challenges in optimizing complex processes, automating tasks, and extracting valuable insights from large datasets, often requiring specialized expertise and significant computational resources. Traditional methods struggle to keep pace with the increasing complexity and volume of data, hindering innovation and efficiency.
Solution
Preferred Networks (PFN) develops and deploys deep learning and robotics technologies to address these challenges across various sectors, including manufacturing, transportation, and healthcare. PFN provides solutions that enable real-time data analysis, intelligent automation, and accelerated research and development. Their approach combines advanced algorithms, custom hardware, and specialized software frameworks to deliver practical applications of cutting-edge technologies. By focusing on solving real-world problems that are difficult to address with existing technologies, PFN aims to make the real world computable, enabling rapid realization of advanced solutions.
Target Audience
PFN's primary customers include companies in manufacturing, transportation, healthcare, and other industries seeking to leverage deep learning and robotics for automation, optimization, and innovation, as well as research institutions and organizations requiring advanced computing infrastructure.
Features
- Deep learning frameworks designed for efficient training and inference
- Custom deep learning processors (MN-Core) for accelerated computation
- Solutions for manufacturing automation, including visual inspection and robotics
- Technologies for autonomous driving and connected vehicles
- Applications in bio and healthcare, such as omics analysis and medical image analysis
- Development of personal robots for human living spaces
- Hyperparameter optimization framework (Optuna) for machine learning models
- Computing infrastructure for large-scale problem-solving with deep learning (Supercomputers)