Collective intelligence without collective exposure
Life sciences' most important breakthroughs require data beyond what any single organization holds. The Rhino Federated Computing Platform lets pharma, biotech, health systems, and life sciences organizations train on distributed datasets, build shared intelligence networks, and collaborate across institutions without any participant exposing their valuable data.
Use Cases
Activate what you hold. Collaborate on what you need.
How the Rhino FCP powers internal AI readiness and multi-party collaboration across pharma, biotech, and the broader healthcare ecosystem.
Enterprise AI Readiness
Life sciences organizations hold decades of proprietary research data. However, most of it isn't AI-ready due to inconsistent formats, siloed repositories, or no governed access layer. Rhino Data Activation, built on the Rhino FCP, turns that raw research data into harmonized, governed infrastructure that AI workloads can actually use, without requiring it to leave the institution or expose proprietary IP.
Beyond Data Silos: How Federated Computing Unlocks AI Without Compromising Privacy
RWD Networks
Real-world data holds answers to questions that clinical trials can't reach on their own, but assembling evidence across sites, sponsors, and jurisdictions typically means moving data that wasn't designed to move. Rhino Federated Intelligence lets research networks span hospitals, registries, and research centers across borders, combining RWD into population-scale evidence without centralizing a single patient record. For rare disease programs, where patient populations are inherently scattered, federated RWD networks might be the only path to statistically meaningful evidence.
Rare Disease Data Already Exists. It Just Can't Move
Clinical Trial Intelligence
Clinical trials are built to answer predefined questions under a specific protocol—not to make the resulting data continuously reusable. Turning study-specific data into timely insight during execution, and into evidence that can be combined and reused after closeout, requires a separate layer of access, harmonization, governance, and analysis. Rhino Federated Intelligence gives trial teams governed access to data across sites as it's collected, and gives downstream HEOR and commercial teams the infrastructure to compare trial findings against what they see in the real world, without pooling raw patient records in a central environment.
Rewiring Clinical Trials: Predictive, Collaborative, and Federated
Drug Discovery
Increasing the probability of success in drug discovery depends on AI trained on more data than any single organization holds. Rhino Federated Intelligence enables pharma and biotech companies to build networks capable of training on distributed compound, genomic, and clinical datasets across partner organizations, without anyone organization exposing its IP. Lilly TuneLab, built on the Rhino FCP, demonstrates what this looks like at scale with 100+ biotech partners, 30+ AI models available, and over 3 million inference runs.
Federated Computing Provides Decentralized Intelligence for Drug Development At-Scale
