Why Stealth Cram

The World is Ready for a New Computing Architecture

The Age of Intelligence needs more than better chips, bigger data centers and prolific power generation. It requires a truly different and more sustainable computing architecture.

Stealth Cram presents a new paradigm for computations that demonstrates 1000x greater efficiency in testing. Somewhat counterintuitively, it begins by moving data far less.

Dr. Jian-Ping (JP) Wang holding a CRAM chip

Origin story

It Started with a Question

In 2002, Dr. Jian-Ping (JP) Wang asked a deceptively simple question: What if memory itself could perform computation? Rather than accepting the architectural compromises that had confined computing for decades, he pursued a new path built around spintronics, memory technologies and reconsideration of where computation happens.

JP’s question became a more than 20-year scientific pursuit involving pioneering university research, millions of dollars in federal investment, deep semiconductor industry collaboration and extensive experimental validation. Along the way, the work progressed from scientific hypothesis to a high-functioning compute-in-memory architecture.

We now know computation can happen within memory, and we’re incredibly excited about how far the architecture can scale.

“We're looking for people who are excited by problems that haven't yet been solved—not because they're easy, but because figuring them out could change the trajectory of computing.”

Dr. Jian-Ping (JP) Wang, Founder & CEO

Milestones

From Discovery to Deployment

Stealth Cram is now translating CRAM into commercial silicon, optimizing it for gargantuan workloads, building the surrounding software and systems and working with ecosystem partners to prepare the architecture for market.

01Fundamental Research
02Architectural Discovery
03System Engineering
04 · NowCommercial Silicon
05Strategic Partnerships
06Platform Adoption

Leadership

Right Team, Right Time

Breakthrough computing architectures rarely emerge overnight. They’re the product of sustained scientific curiosity, disciplined engineering and the persistence to solve problems others have accepted as limitations.

Under Dr. Jian-Ping Wang's leadership, Stealth Cram builds upon more than two decades of pioneering research in spintronics, memory technologies and next-generation computing systems. Together with an experienced leadership team, distinguished advisors and research collaborators, it has methodically translated foundational scientific discovery into a commercially viable computing technology breakthrough.

Dr. Jian-Ping (JP) Wang

Founder & CEO

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Dr. Jian-Ping (JP) Wang is the founder of Stealth Cram and one of the world's leading innovators in spintronics, memory technologies and next-generation computing architecture. As Distinguished McKnight University Professor and Robert F. Hartmann Chair of Electrical and Computer Engineering at the University of Minnesota, his career has been dedicated to rethinking the fundamental architecture of computing through breakthroughs in nanomagnetism and quantum spintronics.

For more than two decades, Dr. Wang has pursued a single question: What if memory itself could perform computation? That pursuit has resulted in one of the deepest bodies of research surrounding digital compute-in-memory, extensive federal and semiconductor industry support, and leadership of major national research initiatives advancing spintronic computing and memory technologies. His work has helped bridge fundamental physics, semiconductor engineering and commercial innovation.

Dr. Wang is also a proven entrepreneur with 99 U.S. patents to his name. He is the inventor and co-founder of Niron Magnetics, whose rare-earth-free magnet technology was recognized as one of TIME magazine's Best Inventions of 2023 and is now advancing toward large-scale U.S. manufacturing. He has founded multiple technology companies translating university research into commercially impactful products and is uniquely recognized by both the semiconductor and magnetic research communities for contributions that have shaped modern memory, storage and computing technologies.

At Stealth Cram, Dr. Wang is leading the commercialization of CRAM with the conviction that the next era of intelligent computing will come not from incremental improvements to today's architecture, but by fundamentally reimagining how computation itself is performed.

Marie Rahne

Co-founder, Business Development Director

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Marie Rahne leads business development and strategic partnerships for Stealth Cram, helping translate breakthrough computing research into commercial opportunities with customers, investors and ecosystem partners. She works at the intersection of technology, strategy and market development, building the relationships needed to bring CRAM from laboratory innovation to industry adoption.

Throughout her career, Rahne has focused on connecting deep technologies with practical business outcomes. She brings experience developing commercialization strategies, cultivating strategic partnerships and communicating complex technical concepts to investors, customers and collaborators. Her ability to bridge engineering and business makes her an essential partner in shaping Stealth Cram's long-term growth.

At Stealth Cram, Rahne is helping construct the commercial pathway around the technology by aligning investors, semiconductor partners, prospective customers and software ecosystems so that technical progress can translate into strategic and market value.

Research

Decades of Relentless Discovery to Eliminate One Key Bottleneck

Breakthrough computing architectures aren't validated by ambition, but through repeated experimentation, peer review and scientific scrutiny.

Stealth Cram’s founders have been testing and refining the principles behind CRAM over decades of university research, sponsored programs, publications and experimental demonstrations. That accumulated work spans pioneering advances in spintronics, magnetic memory, cell-level computing and array design, among other areas.

The result is a rigorously investigated architecture being translated toward commercially deployable computing intelligence.