The intelligence no single entity can build alone
Financial services' hardest AI problems can't be solved by one institution operating on one dataset. Centralizing data isn't the answer, as legacy systems, transaction volume, residency requirements, and commercial sensitivity make it a non-starter. The Rhino Federated Computing Platform (Rhino FCP) lets banks, payment networks, and financial institutions generate intelligence across distributed data without any of it ever leaving the source.
Use Cases
Shared intelligence. Sovereign data.
See how the Rhino FCP powers cross-institution collaboration and internal AI readiness across banking, payments, and financial services.
Enterprise AI Readiness
Financial institutions hold decades of proprietary data across core banking, payments, risk, and compliance systems, each in different formats and often subject to different data residency requirements. Rhino Data Activation, built on the Rhino FCP, turns that fragmented data into harmonized, governed infrastructure ready for primary use AI and analytics, without consolidation or cross-border movement. That includes connecting on-premises data with frontier models in the cloud, without the underlying data ever leaving the institution.
Beyond Data Silos: How Federated Computing Unlocks AI Without Compromising Privacy
Agentic AI & Operational Intelligence
AML transaction monitoring, KYC review, and document processing are high-volume workflows where agentic AI delivers real value. However, giving AI agents access to production data introduces serious compliance and security risk. The Rhino FCP lets institutions deploy agents that run inside their own environment against live data, with every action logged and no developers ever touching production records. The same infrastructure supports governed agent registries and enterprise-wide knowledge layers, giving institutions a trusted framework for managing which agents can act on which data.
Digital Asset Infrastructure
As financial markets migrate to blockchain-based settlement — digital securities, stablecoins, tokenized assets — the data surrounding those transactions still lives off-chain. Observing, analyzing, and building intelligence across that data requires collaboration between institutions that can't share raw records. Rhino Federated Intelligence gives banks, exchanges, and infrastructure providers a governed layer to run federated analytics and train shared AI models across distributed transaction data, without any participant exposing proprietary information.
Learn about Rhino Federated Intelligence
Consortium Intelligence
Many of the hardest problems in financial services can't be solved by one institution working alone. Fraud patterns, AML signals, cybersecurity threats, and liquidity dynamics all look different from inside any single institution's walls. Rhino Federated Intelligence lets banks, payment networks, and financial institutions pool intelligence across distributed data, building shared models for financial crime detection, KYC, treasury visibility, and cybersecurity without transaction data or customer records ever leaving the source.
Federated Computing in Banking: A New Paradigm for Secure Data Collaborations & AI Development
