Bringing RF Field Testing into the Lab with RFix's Daniel Ferber
Daniel Ferber is the co-founder and CEO of RFix, a company that builds end-to-end simulation of radio frequency signals so engineers can test their equipment in the lab before they ever go out into the field.
Daniel Ferber is the co-founder and CEO of RFix, a company that builds end-to-end simulation of radio frequency signals so engineers can test their equipment in the lab before they ever go out into the field.
How did you get into this field and what led you to found RFix?
For two years I worked in ELTA (IAI), Israel, serving as the right hand to the chief technology officer. It was a great opportunity, and he let me take on a lot. I worked as a product manager and as an algorithm developer, and installed systems all across the globe. After that, I went to the Hebrew University, where I studied mathematics and computer science. That is also where things came together with my co-founder, Bar Harel, and we started RFix.
What does RFix do?
RFix does end-to-end simulation of radio frequency signals, from the transmitter to the receiver. Companies that develop signal processing algorithms and hardware normally have to go out into the field to see whether the communication signal they built actually works under real interference and propagation conditions. Our goal is to reduce how often they need to do that. We simulate the entire chain so they can do the work in the lab and show up to the field already fine-tuned.
Defense is a good example. If a company needs to test the communication link between a missile and its ground station, it has to launch the missile to gather data, maybe 10 or 20 times, and each launch can cost around $1 million. If they can instead produce that data and those recordings inside the lab, they can validate their equipment and arrive in the field far more prepared.
Can you walk through how the platform actually works?
At its core, the platform is built around terrain-aware RF simulation, with a broader mission to introduce modern, agile technologies to the traditional RF industry. Engineers can generate realistic recordings of wireless test scenarios through an intuitive, node-based visual interface. By chaining together waveform sources, protocol emitters, channel models, and analysis blocks, they can manage complex test environments within a single graph.
Users can place emitters and receivers directly on a map, reviewing them alongside terrain overlays in the exact spatial context of the operating area. We apply realistic propagation behavior, factoring in real-world constraints like interference and fading, using a combination of ITU-R models and other advanced terrain workflows. Because trust is paramount in this space, we strictly validate all of our nodes and simulated protocols against external legacy tools and industry-standard signal analyzers to ensure absolute hardware-level fidelity.
From there, the platform can mass-produce labeled IQ datasets. Those datasets feed receiver testing, algorithm validation, and machine learning training. Engineers can inspect the data using built-in spectrogram and time-domain views before exporting it as raw IQ recordings, SigMF pairs, or portable project files directly into downstream toolchains.
To further bridge the gap between legacy RF engineering and modern software development, we also provide full AI assistance through MCP servers. This allows users to leverage large language models for automated scenario building and configuration. Ultimately, because these scenarios can be reused in repeatable, batch-oriented API workflows, teams can generate vital test data at scale rather than one recording at a time, allowing them to thoroughly evaluate systems long before field deployment.
Beyond defense, what other applications does the technology have?
Defense is our beachhead, as the demand currently is high, but we are also aiming at telecommunications. With 5G and 6G antennas, for example, you want to see how they perform across different scenarios and different terrains. Or for example, you might have Bluetooth and Wi-Fi operating in the same room, and you want to see how they interfere with each other and how you can recalibrate your algorithms to get more out of the transmission.
How are you funding RFix, and where are you in the process?
It is just the two of us. We have been fully bootstrapped for the past year while we built the entire simulation engine together, and we only started commercializing it recently. Now we are about to begin a seed round to integrate a generative AI model into the simulation, so that it relies not only on mathematical models but on something much higher fidelity. We are preparing the ground for that round and talking with a number of VCs across Europe and Israel.
There are plenty of Israeli VCs, really a lot of them, but there are also plenty in other countries, so for us it is a combination of the two. We do not have any preference between an Israeli VC and a foreign one. Either would be a win.
How would you describe the state of deep tech in Israel right now?
Cybersecurity is a top priority for investors these days, because Israel is so well known for it. But here at Hello Tomorrow, we are seeing many different Israeli companies present their work and get backed by VCs, and a lot of them present themselves as deep technology ventures. I think the deep tech scene is growing, and I think it should grow much more.
Right now there seems to be a shift away from ventures built for an immediate outcome and toward something deeper. I think that is partly down to the cloud and AI revolution, which has shown founders that they need to build real infrastructure rather than just software.
Israel's military is often described as the country's primary technology incubator. Is that still the case?
The military is a hub for technological advancement, because it provides both the technical knowledge and the operational experience that go with it. It is integral. I honestly do not know where Israel would be without that military technology base. So yes, I think the country's tech is still very much built on it.
Do you see a lot of Israeli deep tech founders leaving the country?
It is happening, but I do not think it is at the scale people talk about. I have seen it go both ways. Some people would rather build a European or U.S. venture than an Israeli one, and others go in the opposite direction. As someone in the scene, I do not see a huge trend of people leaving, though it is something that is happening given current events.
How do you define deep tech?
To me, deep tech is about building infrastructure. It is not something that necessarily produces an immediate outcome today, but it will serve many other ideas and startups that can use the technology to grow and build applicable things on top of it.
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