"GenSynth is easy to use and can be effective at accelerating the design and production of compact, customized deep neural network[s]"
Audi Electronics Venture
"Intel and DarwinAI frequently work together to optimize and accelerate artificial intelligence performance on a variety of Intel hardware... But in addition to performance, we are very supportive of their research into algorithm transparency and explainability, which will help make AI deployments fair, auditable and ethical."
Wei Li, VP & GM of ML Performance, Intel
"[DarwinAI] helps reduce the data processed on customers’ systems running NVIDIA Jetson modules on site and NVIDIA V100 Tensor Core GPUs in the cloud for training and inference."
"The DarwinAI team has introduced concrete performance metrics for explainability... Their toolset takes the concept to the next level by translating explainable insights into recommendations for both model design and dataset augmentation."
Drew Gray, CTO of Voyage
Develop production-ready AI in weeks
Deploy AI to any hardware, from cloud to edge devices
Explain AI predictions, errors and biases
Explain trade offs between AI models
Train AI to higher accuracies faster
Reduce training and runtime costs
Free up engineering time to focus on innovation
Deploy on-premise or in the cloud