Healthcare data is naturally sensitive and distributed across many institutions. The only way to derive useful insights is to use the data where it is, without the need to centralize it beforehand.
Gathering high-quality datasets for autonomous or assisted driving poses many challenges. Fleet learning approaches select rare high-value data samples without the need to collect vast amounts of low-value data beforehand.
Delivering intelligent solutions whilst preserving user privacy used to difficult to achive. With federated learning and federated analytics, the data stays private while only the insights are shared to improve prediction quality.
We believe we can help companies of all sizes to unlock the potential of artificial intelligence.
AI Ideation Workshop
We support your team and organization to build intuition about AI. Our workshop format enables you to make educated decisions about AI initiatives that improve your products or business processes. Project proposals usually begin as loose ideas that will then be analyzed and structured throughout the workshop until we end up with a detailed concept that can move forward to implementation.
Data is naturally distributed but we ignore most of it and do not take full advantage of it. We help you to identify potential AI use-cases and define all technical requirements to make it production-ready. We can design and build the first AI prototype to show your organization the full potential of AI systems and possible next steps to define your AI strategy.
AI Product Building
Federated learning, fleet learning, and federated analytics enable us to build intelligent AI systems with full data privacy. Based on your your existing machine learning system or strategy, we build a fleet-based system on top of it that allows exchanging knowledge with full data privacy. Our background ensures that the systems are both scalable and state-of-the-art.