You can think of our technology as a fast and gentle way of “listening” to materials without touching them. Instead of sending a single signal and waiting for a single echo, our system operates in the millimeter-wave range using multiple frequency bands at the same time—or, more precisely, within an extremely short time window in which everything appears to occur simultaneously. Each band captures its own part of reality and returns its own reflection. When these reflections are sampled almost simultaneously, they form a pattern, a complex fingerprint that carries information about what we want to understand: whether liquid is present, how much there is, how something is composed, or how it is changing.
The important thing, therefore, is not a single number, but the pattern itself. Just as a chord conveys more information than a single note, the combination of reflections conveys more than any individual signal could ever provide. Each frequency band is influenced by different properties of what is being examined; some bands are sensitive to water, while others are sensitive to structure, density, or surface characteristics. When the system collects all these nuances at the same moment, we obtain a rich representation of reality as it is here and now, without inserting, pressing, or opening anything.
After the data has been collected, pattern analysis takes over. The computer compares the current pattern with previously known patterns and simultaneously learns from new ones. It works somewhat like the way we recognize a familiar voice in a noisy room: not because we measure a single tone, but because the brain interprets the whole picture—rhythm, timbre, emphasis—and matches it against memory. In the same way, our radar patterns are matched against a reference bank. When the pattern is close to something we have seen before, the system can indicate what is likely to be present and in what condition. When the pattern deviates in an interesting way, it is stored and becomes part of the system’s collectively growing body of experience.
This approach makes the technology robust in real-world environments, where conditions are rarely perfect. Because multiple frequency bands are read essentially simultaneously, it is more difficult for a single disturbance or a reflection from the wrong direction to determine the result. The pattern as a whole carries the truth—and when parts of it are disturbed, the rest can still speak clearly. This makes the measurements stable over time and reduces the risk of false alarms. It also provides an inherent level of safety: there is no need to expose skin, switch to specialized products, or attach sensors to the body. The technology is non-invasive, works at a distance, and works through everyday barriers such as clothing, packaging, or bed linen. This property is important both for privacy and for practical everyday use, particularly for children and people who want to avoid unnecessary discomfort.
In practice, this means that a person can stand in front of the sensor and receive a result within a few seconds. The simultaneous measurements across different frequency bands form a pattern that reveals, for example, the current state of a person’s glucose level—not as an isolated point, but as a reading that becomes increasingly better as the system gets to know that particular person. The same basic principle enables the system to detect and estimate the amount of liquid in an incontinence product from a distance, without anyone having to lift the covers, interrupt sleep, or perform manual checks. It is the pattern from multiple bands—captured almost simultaneously—that carries the answer.
For healthcare and care services, this means more present but less intrusive monitoring. The system can issue an alert when it is genuinely needed and remain silent when everything is as it should be. Privacy is protected because the person does not need to be undressed, photographed, or measured using physical sensors.
For healthcare professionals, this means that time can be spent where it is most useful, and decisions can be made more quickly because relevant information is already available before they arrive. For families, it means calmer nights and fewer interruptions, because monitoring takes place in the background without disturbing anyone.
In industry, transportation, and logistics, the same pattern-based radar analysis can be used to look inside processes and products without opening, cutting, or destroying them. A sealed container does not need to be opened in order to estimate the properties of its contents; it is sufficient to read the pattern that arises when multiple frequencies interact with the material. In safety-critical environments, materials that are difficult to distinguish visually can nevertheless reveal themselves through their electromagnetic fingerprints. Here, the pattern becomes the objective truth, independent of labels, color, or shape.
Another effect of measuring many frequencies so close together in time is that trends can be followed without the result fluctuating because of small, temporary disturbances. When the whole picture is analyzed, the system becomes good at recognizing what is normal and detecting what is abnormal. The person using the technology in everyday life therefore receives not only a number here and now, but an understanding of how the condition changes over time. This makes it easier to act in time, adjust habits, and make informed decisions without stress.
The fact that the technology is being developed as a platform means that the same basic principle—simultaneous measurements across multiple frequency bands that form a pattern, followed by pattern analysis—can be packaged in different ways. In a home, it can be hidden within the surroundings and always ready. In a care environment, it can cover the entire area without anyone having to wear equipment. On a production line, it can become part of quality assurance without slowing down the flow. What they have in common is that the technology is fast, discreet, and designed for the reality in which people live and work.
Ultimately, it is about moving from pursuing a single number to understanding a context. When multiple reflections are sampled almost simultaneously across different frequency bands, a pattern emerges that contains more nuances than any individual measurement can provide. When this pattern is analyzed correctly, in real time and with the support of learning models, we gain insight without intrusion. We can see more without disturbing. We can know more without touching. And in that combination lies the foundation for more compassionate healthcare, more efficient industry, and an everyday life in which technology becomes useful by being exactly as invisible as it needs to be.