Mar 5, 2026 10:49:52 AM

The Rhino Reporter

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Welcome to the inaugural edition of The Rhino Reporter.

In an industry often slowed by fragmented data and rigid silos, we believe in the power of the "Crash"—the collective strength of a unified herd. This newsletter is your curated intelligence briefing on the advancements in Federated Computing across life sciences, financial services, and the AI-forward industries redefining the regulated world.

Keep reading for the news that helps you charge ahead.

Rhino Joins The National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL)

NIIMBL brings together companies, universities, and federal agencies to develop technology that advances American manufacturing in the pharmaceutical industry. By joining this ecosystem of industry leaders Rhino is providing the backbone for more resilient, data-driven American manufacturing.

This marks our second Manufacturing USA partnership, following our work with the ARM Institute (Advanced Robotics for Manufacturing). Together, we’re closing the gap between AI orchestration and physical production.

Collaborative AI for the Next Era of Mining

Mining is entering a new era of digital transformation. Autonomous fleets, electrification, AI-driven safety systems, and sustainability mandates are reshaping how the world’s most critical raw materials are extracted. However, this transformation faces a fundamental challenge: Collaborative intelligence in mining cannot scale under traditional centralized AI. Federated computing transforms mining’s fragmented data into a coordinated strategic asset.

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Fighting Financial Crime Together: Federated Computing for Cross-Bank AML Compliance

Money laundering is the lifeblood of organized crime, terrorism, and corruption. Globally, an estimated $2 trillion is laundered annually, yet less than 1% of illicit funds are ever seized. For financial institutions (FIs), the cost of compliance has ballooned to tens of billions of dollars, but the criminals continue to adapt.

The core problem isn't a lack of effort—it's a lack of collective intelligence. Sophisticated money laundering schemes, like layering through multiple banks or across borders, exploit the fact that FIs mostly operate in isolation. This is where Federated Computing (FC) offers a pathway to collective defense without compromising the confidentiality of private data.

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