MORAGA, CA — Atombeam, an AI technology company, has raised $18.3 million through its Regulation A+ offering hosted on StartEngine.
With the close of this round, Atombeam has raised more than $55 million in total funding to date, providing additional capital to accelerate the development and commercialization of its technology as organizations face continued growth in machine-generated data, AI workloads and connected devices. The company’s technology is protected by one of the larger patent estates in its field: 678 filings, of which 308 are issued or allowed and 370 are pending.
Atombeam operates two platforms: two platforms, Neurpac, data compaction and encryption software in commercial production today, and the Persistent Cognitive Machine (PCM), a new AI architecture that learns continuously and does not hallucinate by design.
“Closing this round marks an inflection point for Atombeam. We now have the capital, the team, and the technology to accelerate Neurpac adoption while bringing PCM through independent benchmarking and into customer pilots,” said Charles Yeomans, co-founder, chairman and CEO of Atombeam. “Neurpac is in production with customers today, measured on their own traffic. PCM is something genuinely new: an AI that keeps learning after it ships and becomes an expert in the organization it serves with no data center behind it. In November we will put it beside conventional language models in independent benchmarks.”
Neurpac is software that makes machine data dramatically smaller and secure in one pass, typically removing 50% to 90% of the data that must move and restoring the original exactly at the receiving end. Because the intelligence lives in learned codebooks rather than in each message, Neurpac compacts even the tiny packets that defeat conventional compression, multiplying effective bandwidth, typically by around 4x, on infrastructure customers already own. Results are measured with named parties on satellite, defense, and commercial links, and include independent validation on a major satellite operator’s own traffic; video and other already-compressed content passes through untouched, which is part of why the claims hold.
Atombeam is also developing its Persistent Cognitive Machine (PCM) technology, an AI architecture designed to enable continuous learning and real-time decision-making with persistent memory all while requiring exponentially less power and resources than stateless Large Language Models. PCM is being developed to bring more capable AI processing to resource-constrained environments, including devices and systems where traditional AI architectures can be limited by compute, memory and connectivity requirements.
“With Neurpac we are solving the challenges Large Language models exacerbate – wired, cellular and satellite networks and data centers pushed to the brink by heavy AI workloads and the barrage of data from connected machines,” added Yeomans. “Simultaneously, with PCM we are creating a form of AI that addresses the very weaknesses of LLMs that lead to unprecedented network congestion and data centers that use as much power as small cities. In these ways we are using AI to address both the challenges of AI adoption today while creating the innovations required to realize AI’s full potential in the future.”
