Decentralized data will power the next generation of machine learning models. Are you prepared?
PowerFlow is the end-to-end federated learning platform anchored on principles of usability, privacy, observability, and model performance. With end-to-end infrastructure, built-in differential privacy, and sophisticated management tools it makes it easy to train performant machine learning models with decentralized data.
Discover new possibilities for machine learning.
Train models with data across multiple geographies while complying with data residency regulations.
Improve software product offerings with powerful models trained using your customers’ data.
Leverage data from subsidiaries and franchisees without resource-intensive data centralization or data sharing agreements.
Use new data sets to overcome data scarcity and build new or better models that were previously infeasible.
Tap into decentralized data and accelerate your business.
Avoid centralizing data
Build new models across siloed data without the high effort, cost, and risk of centralizing it.
Capture new opportunities
Generate new revenue sources and enhance existing products with new and better machine learning models.
Monetize your data
Let your data work for you, while you retain complete control of it on your server.
Without sacrificing privacy and security
Reduce data and IP privacy and security risks with differential privacy and other technologies.
Train your network-powered models today with federated learning.
PowerFlow is the federated learning platform that enables organizations to easily train machine learning models on decentralized data to unlock new opportunities and get better model performance. See how PowerFlow can make federated learning work for you.Learn more