Rhino Raises $15M to Build the Future of Federated AI
Summary
More than that, its a moment to reflect on what weve built, why it matters, and where were going next.Rhino was founded on the heels of the EXAM study, a landmark multi-institutional effort that proved the feasibility and value of Federated Learning in real-world clinical environments. That insight sparked a broader realization: if the majority of the worlds data lives in regulated industries - healthcare, pharma, finance - and if those industries cant centralize their data due to regulation, privacy concerns, cyber-risk, and operational constraints, then maybe its time to flip the paradigm entirely.Thats how we started building something bigger: Federated Computing.Over the last four years, weve worked relentlessly to define and deliver this new architecturea seamless, enterprise-grade computing layer that allows AI and analytics to be executed across distributed environments without moving data. We began this journey in collaboration with NVIDIA, and have since expanded our platform into a multi-cloud, hybrid system that integrates deeply into regulated enterprise IT ecosystems. And weve learned something striking: every meaningful federated use-case we engage in, is societally beneficial.Were already seeing this come to life: In biopharma, where federated GenAI is accelerating drug development and protein design (e.g., the FAITE Biopharma Consortium) In healthcare, where hospitals are harmonizing data and collaborating without compromising control (e.g., Sheba Medical Center) In finance, where institutions are fighting fraud with shared models and private data (e.g., Swift Financial Fraud Prevention)We are also expanding to insurance and other regulated sectors where sensitive data is abundant and collaboration is critical.Weve crossed a major technical and operational milestone: 100+ active edge nodesconnecting data centers, virtual private clouds, and secure environments around the world. And weve seen tremendous enthusiasm from leaders in AI and cloud infrastructure, who are supporting both same-cloud and multi-cloud federation, recognizing the real-world constraints on data sharing and helping us achieve deep integration into the infrastructure powering the majority of global cloud compute workloads.An engineering executive at one of our large tech collaborators put it best:We are committed to enabling organizations of all sizes - not just big tech - to collaborate safely, build responsibly, and unlock value from data that was previously trapped by borders, bureaucracy, or risk.