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Next-generation Extended Reality tech is raising the standard for industrial 3D visualization. Complex equipment becomes much easier to show customers and walk them through, without hauling a physical unit to every meeting. For industrial machinery manufacturers, that’s real business value: by reducing their dependency on physical equipment, companies can improve sales demonstrations and make customer education more visual, scalable, and effective. The value is clear at trade fairs. Industrial machinery manufacturers can usually show only one machine in one configuration. On top of that, the most important parts are often hidden inside, and the product is displayed without the environment it was designed for. So the exhibitor arrives at the show unable to demonstrate the product they’re selling. This is where a new generation of Virtual Showrooms comes in. We’ll look at how it solves that problem below. The problems manufacturers face at trade shows But first, let’s look at the main challenges manufacturers face when relying on traditional trade show methods. The product does not fit. What a manufacturer sells is often far too big for any booth. A single production line can fill half a plant, and one machine can weigh five tons. But the trade show offers thirty square meters of rented floor at a high price. Exhibit space is the single largest line in the entire exhibiting budget: for U.S. B2B shows it accounts for 40.5% of an exhibitor’s total spend, more than any other category. At Hannover Messe (Germany), a modest 18 to 36 square meter stand costs €18,000 to €45,000, and a large one, 72 to 200 square meters, can pass €250,000. The equipment was never built to be lifted onto a stand, so a company pays the highest price in its budget for the one thing that still cannot hold the product it came to sell. Shipping machinery is expensive. The heavier the machinery, the higher the sales costs. Transportation, on-site assembling, and travel expenses can run into six figures per event. On average, construction, logistics and assembly add up to around €100,000 to get a single product onto the floor, and the largest, most impressive machines, the ones a company most wants buyers to see, are precisely the ones that push that figure highest. Buyers see a sample, not the range. Manufacturers have to choose which models to bring, and buyers never see the full portfolio. They are also limited by demo capabilities: system flow, scale, and engineering remain hidden. The value is hidden under the housing. Much of what a manufacturer charges for happens inside the machine, out of sight. Visitors stand in front of a closed housing and see only the outside of a product whose real engineering is sealed away. There is no context. Buyers need to understand how it fits into their own production line, works with existing equipment, and supports their process. That context cannot be brought to the booth, so much of the product’s value has to be imagined. The product may not exist yet. Sometimes the product a company needs to sell is still on the roadmap, or only half-built in a workshop. Industrial sales cycles are long, and buyers often need to commit before a machine physically exists. You are competing for the same buyer as everyone else. A trade show gathers the entire industry into one hall, which means every rival is only a few steps away. At IMTS 2024, visitors had to work through 1,737 exhibitors spread across more than 1.2 million square feet. Hannover Messe 2025 was larger, with 3,694 exhibitors from 62 countries and more than 123,000 visitors. In a room like that, you have to stand out to get noticed. How 3D solves each problem So, how can 3D visualization help? Problem: The product is too large to ship, or it does not exist yet. With XR, prospects can walk around a full-scale model of a product, explore different options for an engineered-to-order build, and see exactly what they are buying months before the first unit is produced. This can shorten the sales cycle. The format changes, but the product remains in front of the customer. Problem: Shipping and floor space eat the largest share of the budget. Extended Reality replaces the heaviest line items in the industrial sales budget with a single portable asset. Each of the costs for equipment transport, exhibition stand rental, assembly crew, technical team travel recurs with every event. Over a year, they compound into one of the largest budget lines in industrial sales. A 3D model is created once and can be presented on a screen, in AR, or in VR using equipment that occupies only a small part of the stand. It can be updated when the product line changes and redeployed without additional logistics. Problem: A physical demo can show only one configuration. Let each visitor build their own version. For configurable machines built to order, each customer can preview their exact configuration in detail rather than a generic prototype. A configurator on a touchscreen, or the same system in AR or VR, lets them choose components and options, see the result update instantly, and leave with a build that matches their plant. One asset covers all two hundred configurations in the catalog. Problem: The most important parts of the product are hidden inside. Exploded views, cutaways and animations show what happens beneath the surface. On a screen, a visitor grasps how the system works within seconds; in AR or VR, they can pull it apart and study the internals in detail.  Problem: Buyers can’t easily picture how the product fits their own plant. VR can put a buyer inside a virtual production line. AR can drop the equipment at full scale into the room right in front of them, so they can walk around it. This way, they can see how it fits their facility instead of guessing. Problem: You have a few minutes to catch attention, and competitors are right next to you. Big screens with motion are…

Qualium Systems has just launched a LinkedIn newsletter, Industry Lens, authored by our Chief Strategy Officer, Vlad Beleckyi. In it, Vlad shares the ideas, observations, and hands-on experience our team has built up around spatial computing, AI, immersive technologies, and innovation in the industrial domain. Why are we doing this? Because we genuinely have something to share. Our team has worked on projects across this space, from a pilot training simulator to VR training for safety-critical environments. We’ve seen firsthand how these technologies can improve training, reduce risk, and make industrial processes safer and more efficient. The insights and examples come directly from our own experience, research, and expertise. At the same time, we keep up with the latest innovations and examine each topic in depth. What we write about Topics covered include: XR and immersive technologies in industrial environments Digital twins and simulation Human-robot collaboration and cobots AI and generative design in manufacturing Logistics and intralogistics Modernizing legacy systems Workforce transformation and reskilling Resilient and ethical supply chains Human role in Industry 5.0 Each issue is a concise, practical look at where the industry is heading and how technology is already working on real production floors today. Subscribe Don’t want to miss new issues? Subscribe to Industry Lens on LinkedIn and stay on top of Industry 5.0 trends with us.

Today’s imaging systems are more powerful than ever. A single CT scan generates hundreds of cross-sections. An MRI cardiac study captures the heart in four dimensions. A full-body PET produces a dense volumetric map of metabolic activity across every organ system. And yet, in most hospitals today, clinicians consume all of that data the same way they did in the 1990s: as 2D slices, scrolled one frame at a time, with the third dimension reconstructed entirely in the radiologist’s head. That gap between the data that exists and the data that gets used is what 3D medical visualization is closing. Progress hasn’t been uniform. The specialties with the highest spatial stakes have moved fastest. In oncology, where tumour margins and vascular relationships determine whether a resection is safe, 3D visualization is now routine. In cardiology, where structural defects live in three dimensions that 2D echo can only approximate, volumetric review has become standard practice for complex case planning. For these teams, rotating a segmented model or flying through a volume-rendered vessel is part of the reading workflow. Within healthcare, oncology drives roughly 34% of total 3D imaging spend: 52% of cancer centers already use 3D imaging as part of their standard workflow, and 44% of cardiology departments do the same. For much of medicine, the shift is still underway. But the direction is clear. The market reflects it. The global 3D medical imaging market was valued at $21.43B in 2025 and $23.39B in 2026 and is projected to reach $42.75B by 2032  at a compound annual growth rate of 10.36%. Healthcare has become the largest adopter of 3D imaging technology overall. In this article, we break down what 3D medical visualization actually means technically and where it creates measurable clinical value. The imaging data problem Begin with the scanners, because they don’t produce data the same way: CT measures X-ray absorption, so dense tissue like bone reads strongly while soft tissue stays faint: the default for trauma, lung, and skeletal work. MRI reads tissue magnetic properties instead of density, trading speed and bone detail for soft-tissue contrast nothing else matches. PET maps metabolic activity rather than structure, and almost always travels fused to a CT or MRI so the active regions have anatomy to sit against. Ultrasound produces a live volume but depends heavily on probe angle and operator skill. Cone-beam CT gives a tight, high-resolution field at the cost of coverage, which is why it dominates dental and interventional suites. All of these imaging methods capture a 3D volume of the body. Yet in most cases, doctors still review that data as a series of 2D slices. At first glance, this seems surprising: why collect rich 3D data only to view it in 2D? Part of the answer is habit and established workflows, but there are also practical reasons why 2D slices remain the standard in medical imaging. Raw data, nothing interpreted. A slice shows the scan as acquired. Every 3D rendering is the product of decisions which densities to display, which to hide, where to set the threshold and any of those can suppress a real finding or manufacture one that isn’t there. Full coverage of the dataset. Scrolling slices walks the eye across every voxel in the study. A 3D view by definition hides whatever sits behind the surface it shows, and for catching a small lesion or a faint ground-glass opacity, seeing everything matters. 3D earns its place once the task moves past detection: Spatial relationships. 3D visualization makes it easier to understand how anatomical structures relate to one another. Instead of mentally reconstructing anatomy from dozens of 2D slices, clinicians can view organs, vessels, and abnormalities as a single 3D model. Change over time. Tracking changes across multiple scans becomes much easier in 3D. By measuring the volume of a structure over time, clinicians can quickly identify trends that may be difficult to spot in individual slices. Communication. A 3D model is something a patient, a referring physician, or a multidisciplinary team can read at a glance, where a slice stack means little to anyone outside radiology. So, 3D visualization is most valuable when understanding spatial relationships is difficult or time-consuming in 2D. What complicates this in practice is the format the data arrives in. Most medical imaging is still stored as DICOM, a standard built around 2D-image workflows. DICOM is the backbone of medical imaging, but several of its legacy choices make 3D visualization and analysis harder to build on top of it. Gathering everything a full analysis needs is one problem: a careful read of a pathology usually draws on prior scans and the patient’s imaging history, and that data sits scattered across separate studies and series rather than in one place. Interoperability is another. DICOM has to exchange data with the hospital’s other systems, such as PACS, RIS, and the electronic health record, and every connection point adds friction. The input itself is uneven too: scans vary in quality and completeness depending on how and where they were acquired, so a tool built for real cases has to hold up across that range. We’ve written separately about why DICOM is stuck in the ’90s. What “3D medical visualization” actually means There are five techniques in common use. Most clinical software uses two or three of them together. Segmentation comes first, because the others depend on it. Segmentation. Something has to label what is in the scan before the rest can work. It needs to know which voxels are liver, which are tumour, which are vessel wall. This used to be manual work. A radiologist drew outlines on each slice, which for a complex case could take close to an hour. Two radiologists rarely produced identical outlines. AI tools changed this. TotalSegmentator and similar models label most organs in a CT scan in under a minute. The clinician checks and corrects the result instead of drawing it. This is what makes the other four techniques practical for routine use. Multiplanar reformatting (MPR)….

Immersive storytelling has moved from experimental format to a working tool used by humanitarian agencies, museums, newsrooms, and brands. The UN commissions 360° productions to communicate field realities. Agog is funding up to $1 million in 2026 grants for immersive climate work. Museums build location-based AR around their collections. Brands replace banner-grade content with VR experiences their audiences actually remember. What unites these use cases is a shift in what audiences expect from a story. Watching is no longer enough. People want to step into the scene, choose where to look, and feel that their presence shapes what happens next. The market reflects this shift. Fortune Business Insights projects the immersive marketing segment alone to grow from $11.66 billion in 2026 to $89.45 billion by 2034, at a CAGR of around 29%. In this article, we look at what immersive storytelling actually means in 2026, the formats producing the strongest results today, why presence works the way it does on a cognitive level, and where the medium is creating the most measurable impact across sectors. What is immersive storytelling? Immersive storytelling is a narrative method built on VR, AR, MR, 360° video, spatial audio, and interactivity. What makes it a distinct medium is the sense of being inside a story rather than watching it from outside. This changes the relationship between content and viewer in three concrete ways. Linear video becomes a 360° scene. Traditional film frames the shot for the audience: the director decides what is in view and what is cut out. In a 360° production, that frame disappears. The viewer chooses where to look, and different details emerge depending on where their attention goes. The same scene can carry multiple parallel observations, and two people watching the same piece may come away with different impressions of what mattered. Text and photography become interactive environments. A written article describes a place; a photo captures a moment of it. Both keep the audience on the outside. Interactive VR and AR let the audience step into the environment, examine objects up close, and in many cases trigger responses through their own actions. Passive consumption becomes an embodied experience. Watching content engages mostly the eyes and ears. Immersive formats add spatial awareness, proprioception, and a sense of physical location. The brain registers the experience closer to how it registers being somewhere in the real world, which is why retention and emotional response measure differently in immersive media than in flat content. How far the experience goes in any of these directions depends on the creative approach. Why it works: The science of presence and empathy When immersive storytelling produces results, it does so through specific mechanisms. The effect it has on audiences has been documented in peer-reviewed research and confirmed by neuroscience. A peer-reviewed study on immersive storytelling and presence found that delivering a story via 360° video on a head-mounted display produces stronger self-location and copresence than the desktop or text version of the same piece. Self-location is the feeling of being physically inside the scene; copresence is the sense of being there with other people. Both have a direct effect on how audiences respond emotionally. Copresence boosts cognitive empathy—the ability to understand what someone else is going through. Self-location and copresence together drive affective empathy—the capacity to share in those feelings. The format is changing what the audience is neurologically equipped to feel. Neuroscience confirms the difference at the signal level. EEG studies comparing VR with television viewing have documented greater mu rhythm suppression during VR sessions—a neural signature long associated with empathic response and mirror neuron activity. The brain registers immersive content differently from flat content. It shows up on EEG equipment, independently of what the audience reports feeling. These findings explain why immersive storytelling is being adopted in fields where emotional connection and behavioral change actually matter: humanitarian communication, climate advocacy, public health, education. But the effect is not automatic. Presence on its own is just immersion. Real emotional and behavioral impact comes from the combination of presence, intentional narrative design, and ethical representation of the subject. Without the second and third, the first is a novelty. Core formats There are five core formats producing immersive storytelling today. They differ in how they are built, how they reach the audience, and what kind of story they can carry. The choice between them is usually the first practical decision in any project. 360° video is the lowest barrier to entry. It is filmed, not built, using specialized cameras that capture the full surrounding scene, which the viewer then explores by turning their head. Production logic is closer to documentary filmmaking than to game development, which makes it accessible to teams already working in video. It is the strongest fit for documentary, fundraising, brand stories, and any project where the goal is to transport the audience into a real place. It is also the most common entry point for organizations producing their first immersive piece. Interactive VR experiences are fully built in engines like Unity or Unreal. Unlike 360° video, the environment is constructed rather than filmed, which means the audience can move through it, interact with objects, and trigger branching narratives. VR development is closer to game development than to film, with longer timelines and higher budgets, but the payoff is depth: the audience can spend hours inside a well-built VR experience and keep finding new layers. This format is the strongest fit for education, simulation, and brand experiences where engagement time matters more than reach. AR experiences anchor digital content to physical locations or objects, delivered through smartphones or smart glasses. The audience stays in the real world and sees a layer of story added on top of it. This makes AR and MR development especially valuable when the physical context is part of the message: a museum exhibit that comes alive when viewed through a phone, a historical site that reconstructs itself on screen, a product that reveals its inner workings when scanned. AR works…

VR therapeutics is becoming a real category of reimbursable medicine. It now has FDA authorization pathways, dedicated billing codes, and growing support from commercial insurers. This shift didn’t happen overnight. It has built up over several years through a series of regulatory, clinical, and commercial milestones that together make 2026 a turning point for the industry. The market is starting to reflect that. Estimates vary by methodology, but SNS Insider projects the broader VR healthcare market to grow from $4.27B in 2024 to $46.4B by 2032 (a 33% CAGR). VR telerehabilitation alone is projected to grow from $1.2B in 2026 to $2.67B by 2030, a 22% CAGR that captures the segment this article focuses on. Three moments tell the story of how we got here. 2021: The first prescription VR therapy gets FDA cleared. AppliedVR’s RelieVRx became the first VR product authorized as a prescription medical device in the US. 2023: Medicare opens the reimbursement door. Centers for Medicare and Medicaid Services created the first VR-specific billing code, placing prescription VR into the Durable Medical Equipment category. The practical effect: doctors gained a way to prescribe VR therapy, and insurers gained a code to pay against. 2025: Commercial insurers begin following Medicare’s lead. In September, Cigna became one of the first major commercial payers to cover FDA-approved digital therapeutics. In this article, we’ll walk through six therapeutic domains where that infrastructure is taking shape. Each has its own clinical logic, its own leading players, and its own path to scale.  Market architecture Before we walk through the six therapeutic domains, it’s worth understanding the shape of the market they sit inside: what’s growing, where the money is concentrated, and what changed structurally between 2023 and 2025 to make any of this viable. Where therapy and rehab sits inside VR healthcare VR healthcare as a whole spans everything from surgical training simulators to anatomical education tools. But within that broader market, VR therapeutics and rehabilitation is the fastest-growing application segment, and it’s also where regulatory and reimbursement infrastructure is forming most actively. Inside therapy-and-rehab itself, two sub-segments are consistently identified by independent market research as the fastest-growing: pain management and mental health therapy. Both have something the other categories don’t yet: FDA-cleared products in the market, peer-reviewed efficacy data, and at least nascent reimbursement pathways. Geographically, the market is concentrated in two regions for very different reasons. North America is leading adoption mainly because the FDA has started approving prescription VR therapies, and dedicated billing codes now allow healthcare providers to get reimbursed for using them. Europe is catching up via different infrastructure, particularly Germany’s DiGA framework, which provides a parallel route to physician prescription and statutory health insurance coverage. France’s PECAN and the UK’s DTAC are developing in a similar direction. The pattern is clear: once regulators create a formal pathway, companies and investment tend to follow. What the hardware cycle unlocked The clinical use cases for VR therapy didn’t really change between 2020 and 2025. What changed is that the hardware finally became viable for the business models the clinical work demanded. Consumer-grade standalone headsets brought the price floor down to where at-home prescription models work. Meta Quest 3, Meta Quest 3S, and Pico 4 helped bring standalone VR headsets to more affordable consumer price levels—an important step for prescription VR therapies that patients are expected to use at home. RelieVRx, for example, is a self-administered program delivered to patients in their living rooms; that model is described in detail in MDIC’s case study of the product. Major headset manufacturers are doubling down on healthcare partnerships rather than building healthcare-specific hardware. A useful signal here is HTC VIVE’s April 2025 expansion with Mynd Immersive, Select Rehabilitation, and AT&T into more than 150 US senior living communities—the largest deployment of immersive therapeutics into senior care to date. The interesting strategic detail isn’t the size of the rollout but its structure: a hardware OEM (HTC), a content/care platform (Mynd), a clinical services partner (Select Rehab), and a connectivity provider (AT&T). That’s the four-party stack that scaled clinical VR is going to require, and partnerships like this one are essentially templates that the rest of the industry will be copying. Body: pain & physical rehab 1. Pain management Pain is the single largest unmet need in clinical medicine. In the United States alone, roughly 50 million adults live with chronic pain, and the toolkit physicians have to treat it is uncomfortably narrow: opioids carry addiction risk, non-opioid pharmaceuticals are inconsistently effective, and behavioral therapies are scarce and slow. Procedural pain is its own category, often managed with anesthesia or sedation, which adds cost, risk, and recovery time. This is the gap VR fills. The clinical evidence for VR as a pain intervention rests on two well-documented neurological mechanisms. The first is gate control theory: pain signals traveling up the spinal cord compete with other sensory inputs for processing capacity, and immersive visual and auditory stimulation can effectively crowd them out before they reach the brain as pain. The second is cognitive load: a fully immersive VR experience occupies enough of that capacity to leave less available for processing pain as pain. Together, these mechanisms make VR more than just a distraction. They turn it into a real neurological intervention, which helps explain why VR can reduce pain in clinical settings where simpler distractions like music or conversation often cannot. There are two distinct applications emerging from this. The first is procedural pain, where Medtronic provides the clearest commercial example. Medtronic’s VR solution makes office hysteroscopy more comfortable by immersing the patient in a virtual environment during the procedure. According to Medtronic, the immersive sedation-analgesia content reduces patient anxiety and decreases pain-related brain activity. The second application is chronic pain. RelieVRx, which we talked about above, is a shining example, receiving Breakthrough Device Designation and De Novo authorization specifically for chronic lower back pain. A regulatory pathway the AppliedVR team has documented in detail in the peer-reviewed literature. The clinical data behind…

Industrial digital transformation is no longer just about automation or collecting data. More and more, it comes down to having a live, accurate digital representation of what is actually happening across physical operations. That is what a digital twin does: it creates a virtual model of a machine, a production line, or an entire facility, and keeps it synchronized with real-world data in real time. This makes it more than a visualization tool. It becomes a working instrument for a variety of industrial applications: simulations, predictive maintenance, monitoring and analytics, process and operational optimization, quality control, worker enablement, EHS solutions, and faster decision-making. Industrial Extended Reality (XR) and immersive technologies are entering their second wave of adoption. While the first wave was shaped mainly by experimentation with XR, the current stage is enabled by mature hardware and significantly stronger digital capabilities, allowing organizations to realize the true value of VR and AR in practical, scalable ways. In parallel, digital transformation is shifting from the automation-led, low-human-involvement logic of Industry 4.0 toward a human-centric model built on human-machine collaboration and co-piloting in Industry 5.0. Industry is adopting Extended Reality (XR) faster than any other sector. Manufacturing and industrial operations accounted for 35.1% of the global digital twin market in 2025. More than half of companies using digital twins report profitability increases of over 20%, and Gartner predicts that by 2027, 40% of large industrial companies will use the technology, resulting in increased revenue. The market overall is projected to grow from $49.2 billion in 2026 to $228.46 billion by 2031. These numbers show that digital twins become a core part of how industrial companies compete and operate. In this article, we look at the specific areas where digital twins create the most value in the industrial sector today, walk through real-world cases from companies already using them at scale, and discuss where the technology is headed next. Why Digital Twins are more than virtual models The role of digital twins has broadened significantly, now covering simulation, planning, operations, and essential 3D visualization needs. As a strategic capability, the digital twin helps organizations understand the present state of assets and systems, anticipate what comes next, and make more precise, informed decisions. This is what separates them from the technologies they are often confused with. A 3D model is static and disconnected from physical reality. A simulation runs defined scenarios but doesn’t update as circumstances change. BIM captures asset properties at a point in time—valuable, but not dynamic. A digital twin does all three, continuously. Let’s look at how this works from a technological perspective. The technology stack behind the intelligence Within the virtual model, three interconnected layers work together.  The first is the data storage and processing layer, responsible for ingesting, organizing, and structuring incoming data streams. IoT sensors and edge devices form the foundation of data acquisition, continuously capturing physical parameters: temperature, vibration, pressure, energy consumption, throughput. This data moves through real-time pipelines into processing environments. The second is the analytics and AI layer, which interprets this data by detecting anomalies, identifying patterns, generating forecasts, and providing recommendations to guide operational decisions.  The third is the visualization and interface layer, translating these insights into clear, actionable formats: dashboards, alerts, or interactive simulations, that engineers, operators, and executives can easily use. A digital twin also integrates with the broader enterprise ecosystem, including engineering documentation, GIS platforms, maintenance systems, financial tools, and business networks. The result is a closed loop of intelligence. Physical reality continuously updates the virtual mode → the model generates insights → and those insights guide decisions that impact the physical system. Types of digital twins Depending on the level of detail and the specific operational goals, a digital twin can focus on a single component, a complete asset, an entire system, or even a full process. Recognizing these distinctions helps organizations select the right model for each use case. A component twin represents a single element (a pump, a bearing, a sensor) and is primarily used for granular condition monitoring and early failure detection.  An asset twin integrates multiple components into a unified model of a complete physical asset, such as a machine or a turbine, enabling a more comprehensive view of performance and interdependencies.  A system twin extends this further, representing how multiple assets interact within a broader operational environment (a production line, a power grid, or a supply chain node).  A process twin models entire workflows and decision sequences, making it possible to trace how disruptions, inefficiencies, or interventions propagate across an organization. In real-world deployments, these levels are layered: component twins feed into asset twins, which feed into system and process twins. This nested setup mirrors actual operational complexity and enables insights at any level, from individual parts to entire workflows. Where digital twins create the most industrial value Below, we break down the use cases where digital twins are generating the most value in the industrial sector today. Predictive maintenance and asset reliability Unplanned equipment downtime remains one of the most costly scenarios for any industrial enterprise. When a critical asset fails unexpectedly, the company loses not only on repairs but also on production chain disruptions, logistical failures, and reputational risks. This is why predictive maintenance powered by digital twins has become one of the most mature and economically justified applications of the technology. The traditional approach to maintenance operates on two models: reactive (repair after failure) or scheduled preventive (servicing on a fixed schedule, regardless of the actual condition of the equipment). Both models are inefficient. The first leads to emergency shutdowns, while the second results in excessive spending on servicing components that still have significant remaining life. The digital twin changes this paradigm. It creates a virtual copy of a physical asset that continuously receives sensor data and updates in real time. Through machine learning algorithms, the system analyzes wear patterns, compares current conditions against historical data, and predicts the moment when a component will reach a critical state. This enables maintenance to…

On 28–29 April, XR EXPO brings together the people who actually build immersive technology: developers, hardware vendors, integrators, and the businesses using it in production. Our Chief Strategy Officer, Vlad Beleckyi, will be there and running live demos throughout the event. We’ll show three projects from our portfolio. The Virtual Procedure Trainer is a simulation tool for medical and technical procedures, where the priority is realistic interaction over visual polish. The Safety Training Platform puts workers through high-risk scenarios in VR: the kind that are too dangerous, expensive, or rare to rehearse on the job. The MVP Immersive Room is newer: it takes what is usually a single-user VR experience and turns it into a shared space where teams can work side by side. This event aligns closely with the company’s core areas of work. For us, the real value of XR EXPO is in the conversations: what other teams are actually shipping, where the bottlenecks still are, and what enterprises want from XR right now.

Today Qualium Systems turns 16. That’s a number worth pausing on. Software companies that hit 16 have already lived through several full technology cycles, and we have the scars and the stories to prove it. Sixteen years ago, we started as a small team with a simple goal: build great software. Today, we’re a multidisciplinary company delivering immersive XR experiences, AI-driven solutions, and mobile and web applications for clients across MedTech, industrial manufacturing, education, and beyond. A few things have changed When Qualium was founded, VR still mostly meant niche enterprise pilots. Mobile was just hitting its stride. AI as we know it today wasn’t even on the table for most product teams. We’ve grown alongside these technologies and along the way we’ve helped clients ship products on platforms that didn’t exist when we started: Apple Vision Pro, Meta Quest, HoloLens, WebXR. A few things haven’t The values we started with are still the values we operate by: honesty over hype, long-term relationships over quick wins, and the willingness to say “no” to a project we don’t believe in. Our certifications under ISO/IEC 27001 and ISO 9001 reflect that, but more importantly, so do the clients who keep coming back. Around 80% of our clients return for another project. That’s the metric we’re proudest of. Through everything We’ve built and grown through challenging times, including the past few years, which have tested every Ukrainian company in ways nobody planned for. Our team has continued to deliver, support each other, and ship work we’re proud of. To everyone who has been part of that journey, clients, partners, our team, and the wider community, thank you! We genuinely couldn’t have done it without you. What’s next Sixteen years in, we’re more energized than ever. The intersection of XR, IT, and real-world industries like MedTech and manufacturing is exactly where we want to be, and the next few years are going to be remarkable to build through. Here’s to year 17 and many more.

More than 2 years ago, we initiated a focused effort to elevate our security and quality frameworks. Our objective wasn’t just to satisfy standards – it was to make security an integral part of our operations, from daily workflows to strategic decisions. Leading the initiative, Dmytro Stetsenko, Co-founder and CTO at Qualium Systems, stepped up to lead the audit internally, ensuring completion of formal ISO 9001 & 27001 auditor training and reinforcing our internal capabilities. In the months that followed, he partnered with compliance experts and process owners to enhance key operational workflows – from asset management and physical security to HR governance, risk management and business continuity. As Dmytro highlights: “The most significant transformation is in risk awareness. We didn’t just offer new controls, we fundamentally redefined how risks are identified, evaluated and addressed across a company.” Last month we successfully renewed both certifications, involving three-phase audits: an internal review, followed by evaluations from both our ISO 9001 auditor and a dedicated ISO/IEC 27001 audit team, with oversight from an accreditation officer to ensure additional scrutiny. Turning Security into Resilience: How We Built Stronger Quality and Security Frameworks As regulatory pressure intensifies across healthcare, finance and other data-sensitive industries, organizations are expected to demonstrate not only innovation but also measurable control over quality, security, and risk. This year we successfully reaffirmed its compliance with ISO 9001 and ISO/IEC 27001 standards, reinforcing our position as a trusted technology partner operating at the highest levels of operational excellence and information security. As Dmytro Stetsenko explains: “Regulatory pressure from frameworks like DORA and NIS2 continues to grow and compliance is becoming increasingly complex, demanding more resources. Our ISO 27001 certification in particular simplifies that landscape for our clients – reducing audit friction, accelerating approvals, and ensuring a consistently high standard of security.” Global frameworks such as DORA and NIS2 are reshaping expectations around cybersecurity, resilience, and governance. For companies operating in regulated environments, compliance is no longer optional – it is foundational. Qualium Systems ISO certifications provide a structured, internationally recognized framework that directly supports these evolving requirements: ISO/IEC 27001 ensures a mature Information Security Management System (ISMS), safeguarding data confidentiality, integrity, and availability ISO 9001 establishes a robust Quality Management System (QMS), focused on consistency, performance, and continuous improvement Together, these standards create a unified operating model where security and quality are embedded into every process, not treated as separate functions. Coded Harder, Built Better, Run Faster, Secured Stronger: What ISO Means for Everyday Quality and Security Rather than treating certification as a one-time milestone, Qualium Systems approaches ISO standards as a continuous discipline. The 2026 renewal reflects a deeper evolution of internal systems, including: ● Advanced risk management practices integrated across delivery, infrastructure, and operations ● Role-based access controls and data governance models aligned with modern security expectations ● Enhanced business continuity and resilience planning, ensuring stability under disruption ● Process optimization frameworks that improve delivery speed without compromising quality This systemic approach allows clients to operate with greater confidence, reducing audit friction, accelerating approvals, and ensuring readiness for increasingly complex regulatory environments. What It Means for our Clients For organizations in healthcare, fintech, and other compliance-driven sectors, working with a certified partner is no longer a preference — it is a requirement. Qualium Systems ISO 9001 and ISO/IEC 27001 certifications translate into tangible business value: ● Reduced compliance burden across regulatory frameworks ● Lower operational and cybersecurity risk exposure ● Predictable, high-quality delivery outcomes ● Faster alignment with enterprise procurement and audit requirements In practice, this means clients can focus on innovation and growth – while relying on a partner whose processes are already aligned with global best practices. What Comes Next: Beyond Compliance The 2026 certification milestone is not an endpoint, but part of a broader strategy to continuously elevate standards across delivery. As regulatory expectations continue to evolve, we are actively expanding our compliance framework to better support clients in highly regulated industries, particularly healthcare. This includes advancing our alignment with GDPR requirements and progressing toward HIPAA readiness, further strengthening our ability to manage sensitive data in complex regulatory environments. By combining deep technical expertise with certified operational frameworks, the company continues to bridge the gap between cutting-edge technology and enterprise-grade reliability. As Dmytro notes: “This certification reflects our long-term commitment to helping clients navigate the most demanding regulatory environments with confidence. While we continue to expand our compliance capabilities, advancing toward GDPR and HIPAA readiness for healthcare-focused solutions.”