Atombeam on Winning Best Data Management Solution for Its AI-Powered Neurpac Technology

Atombeam’s Neurpac was recently named the Best Data Management Solution by the 2026 Big Data Tech Ascension Awards for its AI-powered approach to reducing bandwidth demands and improving how machines transmit data. In this Q&A, Atombeam CEO Charles Yeomans discusses how its Data-as-Codewords technology compacts data without the latency of traditional compression, why it could reshape IoT and satellite communications, and how the company’s Persistent Cognitive Machine fits into its broader vision for more efficient edge AI.

Atombeam Neurpac was recently named "Best Data Management Solution" by the Tech Ascension Awards. What core challenge does this technology solve for today's data-driven organizations?

Infrastructure is facing a digital sustainability crisis. IDC projects global data creation will reach 221 zettabytes by 2026, and the networks carrying that data are not growing anywhere near as fast. Neurpac attacks the bandwidth bottleneck directly: it uses AI to compact data by an average of 75 percent, without the latency and compute overhead of traditional compression. The deeper idea is a change in how machines communicate. By replacing raw data with learned codewords, an approach we call Data-as-Codewords, Neurpac effectively quadruples the bandwidth of a link without touching the hardware underneath it.

How does Neurpac's Data-as-Codewords approach differ from traditional compression algorithms like GZIP or Zlib?

Traditional algorithms were designed for large, human-readable files, and they struggle with the tiny payloads that dominate machine and IoT traffic, packets of 4 to 100 bytes. On payloads that small, conventional compression often makes the data bigger, because the algorithm's own overhead exceeds the savings. Neurpac learns the patterns in a data type in advance and replaces them with compact codewords at transmission time, which is why it achieves high-ratio lossless compaction on exactly the traffic everyone else has given up on. To our knowledge it is the only solution in the world that does this, and it is what makes Neurpac uniquely suited to the extreme edge.

You often speak about the Extreme Edge. Why is Neurpac particularly transformative for IoT and satellite environments?

In satellite communications, bandwidth is the single most expensive resource in the system. Neurpac lets operators roughly quadruple throughput on constellations already in orbit, which is the economic equivalent of launching new capacity without the multi-billion dollar launch. For IoT, the same mathematics runs in reverse: a remote, battery-powered sensor can send 4x the data through the same radio, or send the same data using far less power. In sectors like oil and gas or precision agriculture, where real-time safety monitoring competes with battery life and link budgets, that trade is transformative.

Security is a major concern for any data management solution. How does Atombeam approach security as part of the compaction process?

Security arrives as a byproduct rather than a bolt-on. Because Neurpac transforms data into dense codewords, the transmitted traffic no longer resembles conventional byte sequences, which gives an interceptor dramatically less to work with before encryption is even applied. We then layer standard encryption on top, with TLS 1.3 as our default protocol. The result is a link that is smaller, faster, and harder to read, and the security came along at no additional cost in compute or latency.

Can you share a recent real-world outcome where an Atombeam customer saw immediate business impact?

Alhamrani Universal, Saudi Arabia's largest fintech provider, is a good example. Using Neurpac to accelerate point-of-sale batch transfers, they initially cut their daily regional backup window from 12 hours to 3, and continued optimization has now brought the same data load down to 10 minutes. A transfer that once consumed half a day now completes before a coffee break, which makes the move from daily batching to real-time transmission from ATMs a practical near-term step rather than an aspiration.

Beyond Neurpac, Atombeam is gaining recognition for the Persistent Cognitive Machine (PCM). How does this play into your vision for next-generation AI?

PCM is our answer to the economic paradox at the heart of AI: capabilities are improving, but the compute, power, and dollars required are growing far faster. It is a new architecture built on geometric understanding rather than statistical pattern matching, designed to learn continuously and run efficiently at the edge instead of in a distant data center. In prototype testing it has demonstrated roughly 840 times greater compute efficiency than a small language model on subjects it has learned. Neurpac optimizes how data moves; PCM aims to change how machines think about it. Together they address the two sides of the same sustainability problem.