A neuromorphic engineering company betting that the future of AI is analog, energy-efficient, and small enough to sit inside the device.
CYBERSWARM INC. - the corporate logo, photographed straight, as a logo prefers. A nine-person company whose ambition (a computing layer between digital and quantum) runs several sizes larger than its wordmark.
Here is a fact that the AI industry mostly says quietly: the machines that run modern AI are extremely good at multiplying numbers and fairly terrible at being brains. CyberSwarm's entire proposition is that this gap is not a rounding error. It is the business.
The setup is the kind of thing that sounds like a metaphor until you look at the electricity bill. Digital chips keep memory in one place and computation in another, and they spend an enormous amount of energy shuttling data between the two. Brains, inconveniently for the semiconductor industry, do not do this. A neuron stores and processes in the same spot, runs on roughly the power of a dim lightbulb, and does the whole thing in parallel. CyberSwarm looked at that arrangement and decided to copy the homework.
The company was founded in 2017 by Mihai Raneti, who is the sort of founder willing to say, on the record, that "the future of AI will require entirely new architectures." Founders say this constantly. The interesting part is that Raneti's company is actually building the silicon to back the sentence, using components called memristors - resistors that remember - which store and compute information simultaneously, the way biological neurons do.
The product line has a name that would be at home in a science-fiction novel and a spec sheet at the same time: the Swarm Nervous System, a neuromorphic engine designed to learn and adapt locally. There is also a neuromorphic System-on-a-Chip aimed specifically at cybersecurity, which secures communication between connected devices without phoning home to a distant server. That last detail is the quiet part. If the data never leaves the device, a whole category of privacy and security problems simply never gets a chance to happen. CyberSwarm has essentially turned "we didn't send your data anywhere" into a feature, which is both good engineering and good marketing.
Geographically, the company is a bit of a magic trick. It is headquartered in San Mateo, California, the appropriate zip code for a deep-tech hardware bet, while its research and engineering roots run through Ploiesti, Romania, and its collaborations reach into Romanian research institutions. The team is about nine people. Nine people, one chip, and a claim that they are building a new computational layer that sits between traditional digital systems and quantum computing. It is the sort of ambition-to-headcount ratio that makes venture capitalists either nervous or interested, and occasionally both.
The money says interested. Draper Associates backed the company early, in 2018, and then did the deeply unglamorous deep-tech thing of waiting. Eight years later, in May 2026, CyberSwarm closed a $50 million Series A led by Falanga Invest Perton. Ian Imrisek, Falanga's CEO, offered the standard-issue conviction quote - that neuromorphic computing "will become one of the defining technological directions of the next decade" - which is what you say when you have just written a check that large.
What the money is actually for is less cinematic and more telling: research, engineering headcount, industry partnerships, and the transition from "we have a compelling architecture" to "you can buy it." CyberSwarm is pointing the proceeds at automotive, aerospace, defense, healthcare, and robotics - which is to say, everywhere you want a device to think for itself without waiting on a network round-trip. Reported revenue sits at roughly $3 million, the kind of figure that matters less as income and more as evidence that someone, somewhere, is already paying.
The honest risk here is time. Neuromorphic computing has been "five years away" for about two decades, and analog computing has a long history of being elegant, efficient, and commercially stubborn. CyberSwarm's counter-argument is that the constraint finally changed: AI got genuinely hungry for power, memristors got real, and a small company decided the timing had lined up. Whether it has is the whole question. But it is a good question, and CyberSwarm has raised $50 million to spend the next few years answering it.
Memristors hold information and process it in the same place - no costly shuttling between memory and processor, the way biological neurons operate.
The Swarm Nervous System runs machine-learning algorithms locally, on-device, so hardware can adapt without the internet or a data center.
Because processing stays local, sensitive data never leaves the device - turning privacy and security into a property of the silicon itself.
Target deployment sectors named for the Series A. Bar lengths are illustrative of stated focus, not measured market share.
Sources: company site & About page; start-up.ro; Romania Journal; Dealroom; Forbes.ro; Crunchbase; PitchBook; Tracxn. Revenue (~$3M, 2026) and sector emphasis are reported estimates.
A neuromorphic computing engine that learns and adapts by mimicking the brain, enabling low-power, edge-based AI embedded in devices for autonomy - no cloud connection required.
A System-on-a-Chip dedicated to cybersecurity that secures communication between connected devices and protects critical business assets at the edge.
Analog architecture where memristors store and process information simultaneously - a computational layer positioned between digital systems and quantum computing.
Mihai Raneti starts the company to build brain-inspired neuromorphic hardware.
The company secures early backing and begins the long march from thesis to silicon.
Falanga Invest Perton leads a $50 million round to scale memristor-based computing toward commercial deployment.
The company describes its architecture as a new computational layer between digital and quantum computing - not a faster version of either.
Its memristors store and process in the same place, quietly undoing the memory-versus-compute split that digital chips are built on.
Silicon Valley headquarters, Ploiesti, Romania engineering roots - the company runs on two continents at once.
The core AI engine is named the Swarm Nervous System, which is exactly as literal as it sounds.
The whole operation runs on about nine people - a headcount-to-ambition ratio that is either reckless or the point.
Draper backed it in 2018 and waited eight years for the Series A - a small master class in deep-tech patience.
Brain-inspired, memristor-based neuromorphic hardware - including the Swarm Nervous System engine and a neuromorphic System-on-a-Chip for cybersecurity - that runs energy-efficient AI locally at the edge without the cloud.
It was founded in 2017 by Mihai Raneti, who serves as Founder and CEO.
It raised a $50 million Series A in May 2026 led by Falanga Invest Perton, and has been backed by Draper Associates since 2018.
It is headquartered in San Mateo, California, with research and engineering roots in Ploiesti, Romania.
Instead of separating memory and processing like digital chips, neuromorphic hardware uses components such as memristors that store and compute simultaneously - closer to how biological neurons work, enabling low-power, adaptive AI.
Video: no official CyberSwarm YouTube interview or product-demo channel was confirmed at publication. Search "CyberSwarm neuromorphic Mihai Raneti" on YouTube for talks and press coverage as they surface. Details labeled reported or estimated draw on third-party databases and press, not company filings.