HMX Technology is an independent media brand dedicated to helping professionals navigate the rapidly advancing landscape of artificial intelligence, autonomous systems, and intelligent computing infrastructure. We analyze the technologies that matter — rigorously, honestly, and always with clear disclosure of commercial relationships.
The technology landscape has never moved faster — and the signal-to-noise ratio has never been worse. Every week brings new model releases, new framework announcements, new claims of AGI imminent or already arrived. Most of it is self-serving noise. Some of it genuinely matters. Our job is to help practitioners tell the difference.
HMX Technology was founded in 2021 by engineers and analysts who believed the existing technology press had a fundamental conflict of interest: most coverage was shaped by access journalism, advertising dependency, and a structural incentive to amplify announcements rather than scrutinize them. We built something different. Rigorous. Transparent. Written for people who actually have to make decisions about technology, not just read about it.
When we publish sponsored content, we say so — at the top, in clear language, without burying it in footnotes. Our editorial coverage and our commercial relationships exist in separate, clearly labeled categories. Readers deserve to know the difference.
We go deeper than the press release and further than the talking points. Every piece we publish is designed to give readers something they couldn't get from the announcement itself.
Commercial relationships are disclosed prominently. Corrections are published quickly. Our editorial standards are documented and public. We don't hide what we do or how we do it.
AI has genuine transformative potential and real limitations. We cover both without the hype cycles that distort most tech coverage. Extraordinary claims require proportionate scrutiny.
We write for people who build, manage, and deploy technology — not observers commenting from the sidelines. The test for every piece: does it help someone make a better decision?
HMX Technology operates a hybrid editorial model. Some of our content is independently funded. Some is sponsored by technology companies. We believe both models can coexist honestly — but only if the distinction is always clear to readers.
Our advertising standards are designed to meet and exceed Outbrain's content guidelines and applicable FTC disclosure requirements. We have never allowed an advertiser to influence our independent editorial coverage, and we have a documented policy prohibiting this.
Former ML engineering lead. Covers AI systems architecture, model infrastructure, and enterprise AI strategy. 12 years in applied machine learning.
Semiconductor industry background. Specializes in hardware acceleration, neural processing units, and the chip architectures driving AI capability.
Cybersecurity researcher and former penetration tester. Covers AI security, adversarial attacks, model robustness, and emerging threat vectors.
Robotics engineer turned journalist. Covers autonomous vehicles, robotic process automation, drone systems, and embodied AI in industrial contexts.
Reader data as of Q1 2026. All figures are independently tracked.
We consider pitches from practitioners, researchers, and independent experts. Analysis backed by direct experience or data is what we're looking for.
Pitch UsReach a practitioner audience of AI and technology professionals. All sponsored content is clearly labeled and produced to our editorial quality standards.
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