DynamoFL

DynamoFL is an artificial intelligence company that helps machine learning (ML) and artificial intelligence (AI) companies and teams train personalized ML models without collecting user data, capable for use in highly compliant industries. Further, these ML and data pipelines are developed to remain privacy-preserving and are capable of being plugged into existing ML workflows to distributively train models without centrally collecting data. The company was founded in 2021 by Vaikkunth Mugunthan and Christian Lau and is headquartered in San Francisco.

DynamFL's platform is built to enable developers to train personalized machine learning models that do not require developers to collect user data while maintaining a high level of performance. This is achieved, according to DynamoFL, by using optimization methods such as ensuring ML and AI models are good for a client's overall task. This approach uses federated learning techniques, which are intended to address the problem of data governance and privacy through the training of AI models across decentralized edge devices or servers that store data samples locally. This platform can be used to create the data infrastructure to ensure client devices work seamlessly and cohesively.