[{"data":1,"prerenderedAt":873},["ShallowReactive",2],{"/en":3,"vulnerabilities-en":258},{"id":4,"title":5,"body":6,"description":187,"extension":188,"hiddenTitle":9,"meta":189,"navigation":9,"path":192,"sections":193,"seo":255,"stem":256,"subtitle":7,"tagline":8,"__hash__":257},"content/en/index.json","Virek",{"title":5,"subtitle":7,"tagline":8,"hiddenTitle":9,"cta":10,"sections":14},"Your data exists.\nBut it's not working for you yet.","Human Centric AI",true,[11],{"label":12,"url":13},"Let's talk about your problem","#contact",{"problem":15,"differentiation":28,"productsServices":42,"solutionValues":128,"approach":156,"target":170},{"tagline":16,"title":17,"items":18},"Sound familiar?","You've seen these problems before.",[19,22,25],{"title":20,"description":21},"Every department has its own version of the truth","Marketing says 1,200 active customers. The CRM shows 980. Finance works with a third number. No one knows who's right, and meetings turn into Excel showdowns.",{"title":23,"description":24},"You always decide on yesterday's data","By the time the report arrives, the situation has already changed. The lag between an event and your decision is your real competitive disadvantage.",{"title":26,"description":27},"You've bought software, but the problems remain","New tools, new costs, new dashboards. Yet underneath, the data is still scattered, inconsistent, and unreliable. The problem was never the tool.",{"tagline":29,"title":30,"description":31,"items":32},"Why classic solutions don't work","Traditional consultancies add layers.\nWe remove root causes.","The classic consulting model sends people into your company, adds integrations on top of systems that don't talk to each other, and produces reports about problems that stay. When they leave, the problem stays.\n\nWe work differently. We study your system in depth, identify the root cause, and build specialized software that solves exactly that problem - nothing more. Fast timelines, measurable results, no hidden costs.",[33,36,39],{"title":34,"description":35},"Root cause, not a band-aid","We don't add layers on top of existing problems. We identify where the disorder begins and fix it there.",{"title":37,"description":38},"Specialized software, not body rental","We build solutions tailored to your specific problem - we don't charge you for people learning your business on your dime.",{"title":40,"description":41},"Results in weeks, not years","Our time-to-market is drastically faster than traditional consulting. You see results before signing the next contract.",{"tagline":43,"tabs":44},"Products & Services",[45,65,88,108],{"number":46,"label":47,"category":48,"subtitle":49,"description":50,"products":51,"services":52},"01","Analysis & Documentation","Legacy Assessment & Knowledge Engineering","The Foundation","Before connecting, protecting, or automating, you need to understand what you have. Undocumented systems, tacit operational knowledge, and hidden dependencies are the root of every barrier to digital transformation — and the starting point of every Virek project.",[],[53,56,59,62],{"title":54,"description":55},"Legacy Reverse Engineering","In-depth analysis of \u003Ca href=\"/en/glossary#legacy\" class=\"glossary-link\">legacy\u003C/a> systems — software, databases, protocols, dependencies — with full documentation for archival use or replacement planning.",{"title":57,"description":58},"Knowledge Mapping","Capture and formalization of tacit operational knowledge: critical procedures, undocumented workarounds, and know-how that exists only in people.",{"title":60,"description":61},"Digital Transformation Assessment","Mapping the current state, identifying modernization blockers, and estimating the ROI of possible interventions.",{"title":63,"description":64},"Modernization Roadmap","Planning the gradual transition from obsolete systems to modern infrastructure, without operational disruption.",{"number":66,"label":67,"category":68,"subtitle":69,"description":70,"products":71,"services":78},"02","Data Integration","Industrial Data Foundation & IT-OT Integration","The Connective Tissue","\u003Ca href=\"/en/glossary#ot\" class=\"glossary-link\">OT\u003C/a> systems produce continuous data streams. But without an integration infrastructure, they remain trapped in inaccessible proprietary protocols. \u003Ca href=\"/en/glossary#it-ot\" class=\"glossary-link\">IT-OT\u003C/a> integration is the prerequisite of every industrial intelligence project.",[72,75],{"title":73,"description":74},"Print Gateway","System for centralized, secure management of industrial print flows, with native integration to \u003Ca href=\"/en/glossary#erp\" class=\"glossary-link\">ERP\u003C/a> and \u003Ca href=\"/en/glossary#mes\" class=\"glossary-link\">MES\u003C/a>.",{"title":76,"description":77},"-Monitor Series","Centralized monitoring software built to measure specific business flows: quality, logistics, production.",[79,82,85],{"title":80,"description":81},"Vertical & Horizontal Integration","Integration across heterogeneous industrial layers (\u003Ca href=\"/en/glossary#erp\" class=\"glossary-link\">ERP\u003C/a>, \u003Ca href=\"/en/glossary#mes\" class=\"glossary-link\">MES\u003C/a>, \u003Ca href=\"/en/glossary#scada\" class=\"glossary-link\">SCADA\u003C/a>, \u003Ca href=\"/en/glossary#plc\" class=\"glossary-link\">PLC\u003C/a>) and across multi-vendor systems; IT/OT convergence.",{"title":83,"description":84},"IIoT & Industry 4.0 Deployment","Design and implementation of \u003Ca href=\"/en/glossary#iiot\" class=\"glossary-link\">IIoT\u003C/a> solutions for plant data collection, transmission, and pre-processing.",{"title":86,"description":87},"Co-Design Session","Collaborative workshops to design a tailored integration architecture, starting from the client's existing systems.",{"number":89,"label":90,"category":91,"subtitle":92,"description":93,"products":94,"services":101},"03","Industrial Intelligence","AI & Industrial Intelligence","The Brain","82% of companies cite data quality and accessibility as the primary barrier to industrial \u003Ca href=\"/en/glossary#ai\" class=\"glossary-link\">AI\u003C/a> — not a lack of technology. With a consolidated \u003Ca href=\"/en/glossary#data-layer\" class=\"glossary-link\">data layer\u003C/a>, artificial intelligence stops being a pilot and becomes operational.",[95,98],{"title":96,"description":97},"Clarity","On-premise \u003Ca href=\"/en/glossary#bi\" class=\"glossary-link\">BI\u003C/a> dashboarding tool, independent of big-player platforms, integrable with all existing systems.",{"title":99,"description":100},"Proprietary AI Algorithms","In-house artificial intelligence solutions for optimizing specific production processes.",[102,105],{"title":103,"description":104},"Custom AI & ML Development","Development of predictive models and optimization algorithms calibrated to the client's production processes.",{"title":106,"description":107},"System Integration","Integration of AI and BI systems with the client's existing legacy software, without replacing what works.",{"number":109,"label":110,"category":111,"subtitle":112,"description":113,"products":114,"services":118},"04","Security & Compliance","Cyber-Physical Security & GRC","The Nervous System","Manufacturing is the most attacked sector in the world for the third consecutive year. The same data infrastructure that enables \u003Ca href=\"/en/glossary#ai\" class=\"glossary-link\">AI\u003C/a> addresses obligations under \u003Ca href=\"/en/glossary#nis2\" class=\"glossary-link\">NIS2\u003C/a>, \u003Ca href=\"/en/glossary#eudr\" class=\"glossary-link\">EUDR\u003C/a>, and \u003Ca href=\"/en/glossary#csrd\" class=\"glossary-link\">CSRD\u003C/a>. One investment, three urgent needs resolved.",[115],{"title":116,"description":117},"Compliance Framework","Proprietary templates and methodologies for regulatory analysis and structured compliance management.",[119,122,125],{"title":120,"description":121},"Cyber-Physical Risk Mapping","Risk analysis arising from the connection between \u003Ca href=\"/en/glossary#ot\" class=\"glossary-link\">OT\u003C/a> systems and corporate \u003Ca href=\"/en/glossary#it\" class=\"glossary-link\">IT\u003C/a> infrastructure.",{"title":123,"description":124},"Governance & Compliance Management","Consulting and implementation for \u003Ca href=\"/en/glossary#nis2\" class=\"glossary-link\">NIS2\u003C/a>, \u003Ca href=\"/en/glossary#ai-act\" class=\"glossary-link\">AI Act\u003C/a>, Machinery Directive, and related industrial regulations.",{"title":126,"description":127},"GRC as a Service","Subscription for continuous regulatory monitoring and compliance updates (\u003Ca href=\"/en/glossary#nis2\" class=\"glossary-link\">NIS2\u003C/a>, \u003Ca href=\"/en/glossary#eudr\" class=\"glossary-link\">EUDR\u003C/a>, \u003Ca href=\"/en/glossary#csrd\" class=\"glossary-link\">CSRD\u003C/a>).",{"mission":129,"vision":132,"values":135},{"title":130,"body":131},"Innovate\nwithout fear","We enable industrial companies to transform complex legacy systems into modern, secure data infrastructures. We translate technological and regulatory complexity into operational certainty, allowing organizations to innovate without fear — and without leaving anything broken behind.",{"title":133,"body":134},"The shortcut\nfor those who lead","To become the natural «mental shortcut» for every industrial leader who wants to modernize without risking operational continuity. Not the partner who brings the newest technology, but the one who first understands what is truly needed and builds it to last.",[136,140,144,148,152],{"label":137,"subtitle":138,"detail":139},"Multidisciplinary Synthesis","The «Single Mind»","We don't believe in \u003Ca href=\"/en/glossary#silos\" class=\"glossary-link\">silos\u003C/a>. We combine systems engineering, data engineering, and technology law into a single point of contact. Our value lies in the ability to make different languages speak to one another to deliver coherent solutions — without the client having to coordinate separate teams.",{"label":141,"subtitle":142,"detail":143},"Intrinsic Security","Security & Compliance by Design","Security is not a final add-on, but the foundation of every project. Every integration system, every algorithm, every architecture is born already protected from a cyber-physical standpoint and compliant from a regulatory one. Because going back to fix things always costs more than designing them right from the start.",{"label":145,"subtitle":146,"detail":147},"Trust-Based Partnership","Beyond the Supplier","We don't sell machines — we co-design the client's future. Our relationship is built on transparency, continuous support, and the sharing of both risk and success.",{"label":149,"subtitle":150,"detail":151},"Diagnosis Before Action","The Root, Not the Band-Aid","We don't overlay solutions onto the wrong problems. Every project begins with an analysis and reverse engineering phase — because you cannot modernize what you don't understand. This is why our interventions hold over time: we remove the cause, not the symptom.",{"label":153,"subtitle":154,"detail":155},"Receptive Clarity","The Echo of Communication","We communicate thinking about what the client receives, not what we want to say. With an engineer, we speak about systems and performance. With a CFO, about costs and risk. With a lawyer, about compliance and liability. The same concept, the right language.",{"tagline":157,"title":158,"description":159,"items":160},"How we work","A solid data foundation.\nBuilt to last.","Everything starts with one question: where does the problem begin? We integrate your existing systems - databases, IoT, APIs, ERPs - into a governed, consistent data layer ready for Business Intelligence and artificial intelligence.\n\nNo magic. No shortcuts. Deep work that produces concrete, measurable results.",[161,164,167],{"title":162,"description":163},"Any system, integrated","Databases, IoT sensors, APIs, legacy systems. We connect them all into a single reliable layer, with data available in hours, not days.",{"title":165,"description":166},"Certified data quality","Automated tests, continuous monitoring, real-time alerting. Every decision is based on verified, fully traceable data.",{"title":168,"description":169},"AI and Business Intelligence ready","The end result is an organization that can finally leverage artificial intelligence and BI on a solid, reliable foundation.",{"tagline":171,"title":172,"description":173,"items":174},"Who we work with","Your sector, your problems.","Every sector has its own difficult data. We know them all.",[175,178,181,184],{"label":176,"content":177},"Public Administration","Incompatible legacy systems, regulatory compliance (AgID, SPC), data distributed across agencies. We help you modernize without throwing away what already works.",{"label":179,"content":180},"Utilities & Manufacturing","Data from sensors, plants, and SCADA systems that don't communicate. We build real-time pipelines for predictive maintenance and operational optimization.",{"label":182,"content":183},"Retail & CPG","POS, e-commerce, CRM: three systems, three views of the customer. We unify them into a single source of truth for demand analysis and personalization.",{"label":185,"content":186},"Transport & Logistics","Dynamic route optimization, real-time traffic management, demand prediction models. Data that moves as fast as your vehicles.",null,"json",{"cta":190},[191],{"label":12,"url":13},"/en",{"problem":194,"differentiation":199,"productsServices":204,"solutionValues":235,"approach":244,"target":249},{"tagline":16,"title":17,"items":195},[196,197,198],{"title":20,"description":21},{"title":23,"description":24},{"title":26,"description":27},{"tagline":29,"title":30,"description":31,"items":200},[201,202,203],{"title":34,"description":35},{"title":37,"description":38},{"title":40,"description":41},{"tagline":43,"tabs":205},[206,213,221,228],{"number":46,"label":47,"category":48,"subtitle":49,"description":50,"products":207,"services":208},[],[209,210,211,212],{"title":54,"description":55},{"title":57,"description":58},{"title":60,"description":61},{"title":63,"description":64},{"number":66,"label":67,"category":68,"subtitle":69,"description":70,"products":214,"services":217},[215,216],{"title":73,"description":74},{"title":76,"description":77},[218,219,220],{"title":80,"description":81},{"title":83,"description":84},{"title":86,"description":87},{"number":89,"label":90,"category":91,"subtitle":92,"description":93,"products":222,"services":225},[223,224],{"title":96,"description":97},{"title":99,"description":100},[226,227],{"title":103,"description":104},{"title":106,"description":107},{"number":109,"label":110,"category":111,"subtitle":112,"description":113,"products":229,"services":231},[230],{"title":116,"description":117},[232,233,234],{"title":120,"description":121},{"title":123,"description":124},{"title":126,"description":127},{"mission":236,"vision":237,"values":238},{"title":130,"body":131},{"title":133,"body":134},[239,240,241,242,243],{"label":137,"subtitle":138,"detail":139},{"label":141,"subtitle":142,"detail":143},{"label":145,"subtitle":146,"detail":147},{"label":149,"subtitle":150,"detail":151},{"label":153,"subtitle":154,"detail":155},{"tagline":157,"title":158,"description":159,"items":245},[246,247,248],{"title":162,"description":163},{"title":165,"description":166},{"title":168,"description":169},{"tagline":171,"title":172,"description":173,"items":250},[251,252,253,254],{"label":176,"content":177},{"label":179,"content":180},{"label":182,"content":183},{"label":185,"content":186},{"title":5},"en/index","vpKgxiX8BaPAtG3f41oBzFFkSYHUmh1sSURUzbe2_BA",{"id":259,"extension":188,"items":260,"meta":667,"stem":871,"__hash__":872},"vulnerabilitiesEn/en/vulnerabilities.json",[261,322,388,478,530,609],{"id":262,"sort":263,"visible":9,"simulation":187,"title":264,"tagline":265,"desc":266,"extended":267,"sources":268,"chart":272},"VUL-A",1,"Data Held Hostage by Silos","The plant has been generating data for decades. Not one byte has ever been read.","Data remains hostage to \u003Ca href=\"/en/glossary#silos\" class=\"glossary-link\">silos\u003C/a>: \u003Ca href=\"/en/glossary#ot\" class=\"glossary-link\">OT\u003C/a> systems produce continuous data streams, but legacy industrial architecture keeps them trapped in proprietary protocols. According to IBM [1], 90% of collected industrial data is never analyzed or used for decisions. The remaining 10% carries the full informational value of the plant.","Without an \u003Ca href=\"/en/glossary#it-ot\" class=\"glossary-link\">IT-OT\u003C/a> integration infrastructure, every investment in \u003Ca href=\"/en/glossary#ai\" class=\"glossary-link\">AI\u003C/a>, predictive maintenance, or digital twins is built on nonexistent foundations. A \u003Ca href=\"/en/glossary#machine-learning\" class=\"glossary-link\">machine learning\u003C/a> model that doesn't read the plant's OT data doesn't learn from the plant — it produces noise. And every operational decision made without this data is a decision made in the dark, in a plant that's talking continuously.",[269],{"id":263,"text":270,"url":271},"IBM","https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/ai-data-integration",{"backgroundColor":273,"tooltip":274,"legend":277,"graphic":283,"series":298},"transparent",{"trigger":275,"formatter":276},"item","{b}: {d}%",{"bottom":278,"left":279,"textStyle":280},"2%","center",{"color":281,"fontSize":282},"rgba(255,255,255,0.55)",10,[284,292],{"type":285,"left":279,"top":286,"style":287},"text","33%",{"text":288,"fontSize":289,"fontWeight":290,"fill":291},"90%",28,"bold","#fe6b00",{"type":285,"left":279,"top":293,"style":294},"52%",{"text":295,"fontSize":296,"fill":297},"unused",11,"rgba(255,255,255,0.5)",[299],{"type":300,"radius":301,"center":304,"avoidLabelOverlap":9,"label":307,"emphasis":309,"data":313},"pie",[302,303],"45%","65%",[305,306],"50%","44%",{"show":308},false,{"label":310},{"show":9,"fontSize":311,"color":312},13,"rgba(255,255,255,0.9)",[314,319],{"value":315,"name":316,"itemStyle":317},90,"Unused data",{"color":318},"rgba(255,255,255,0.12)",{"value":282,"name":320,"itemStyle":321},"Used for decisions",{"color":291},{"id":323,"sort":324,"visible":9,"simulation":325,"title":326,"tagline":327,"desc":328,"extended":329,"sources":330,"chart":334},"VUL-B",15,"knowledge-concentration","The Knowledge That Doesn't Transfer","When the technician retires, the plant goes with them.","Up to 80% of critical operational knowledge in manufacturing companies is tacit: unwritten, unrecorded, not automatically transferable. Only 30% of organizations systematically capture the knowledge of departing workers. 41% almost never try [1].","On average, training a new technician to reach senior-level productivity takes 18 months. But this is only the measurable part of the loss. Knowledge that was never formalized cannot be recovered: it walks out with the badge. In 2024, approximately 52,000 senior technicians retired from Italian manufacturing against 18,000 new hires. Every year without knowledge capture is a year of irreversible regression.",[331],{"id":263,"text":332,"url":333},"APQC, 2025","https://www.apqc.org/about-apqc/news-press-release/apqc-study-warns-looming-great-retirement-crisis-highlights-role-ai",{"backgroundColor":273,"tooltip":335,"grid":341,"xAxis":344,"yAxis":353,"series":365},{"trigger":336,"backgroundColor":337,"borderColor":338,"textStyle":339},"axis","rgba(24,24,27,0.9)","rgba(255,255,255,0.1)",{"color":340},"rgba(255,255,255,0.8)",{"left":342,"right":343,"top":342,"bottom":342,"containLabel":9},"5%","14%",{"type":345,"max":346,"axisLabel":347,"splitLine":350},"value",100,{"color":348,"fontSize":282,"formatter":349},"rgba(255,255,255,0.4)","{value}%",{"lineStyle":351},{"color":352},"rgba(255,255,255,0.06)",{"type":354,"data":355,"axisLabel":360,"axisLine":361,"axisTick":364},"category",[356,357,358,359],"Orgs. that capture (APQC 2025)","Orgs. that don't capture (APQC 2025)","Documented knowledge","Tacit knowledge",{"color":281,"fontSize":282},{"lineStyle":362},{"color":363},"rgba(255,255,255,0.15)",{"show":308},[366],{"type":367,"data":368,"label":382,"barMaxWidth":387},"bar",[369,373,376,379],{"value":370,"itemStyle":371},30,{"color":372},"rgba(255,255,255,0.18)",{"value":374,"itemStyle":375},41,{"color":291},{"value":377,"itemStyle":378},20,{"color":372},{"value":380,"itemStyle":381},80,{"color":291},{"show":9,"position":383,"formatter":384,"color":385,"fontSize":386,"fontWeight":290},"right","{c}%","rgba(255,255,255,0.7)",12,18,{"id":389,"sort":282,"visible":9,"simulation":187,"title":390,"tagline":391,"desc":392,"extended":393,"sources":394,"chart":402},"VUL-C","The Cost of Integration Without Architecture","Connecting a PLC to the internet without a secure architecture means leaving the door open.","Manufacturing is the most attacked sector in the world by cyberattacks for the third consecutive year [1]. In 2022, Dragos documented over 600 ransomware attacks on industrial organizations [2]. Connecting \u003Ca href=\"/en/glossary#ot\" class=\"glossary-link\">OT\u003C/a> \u003Ca href=\"/en/glossary#legacy\" class=\"glossary-link\">legacy\u003C/a> systems to \u003Ca href=\"/en/glossary#industry-40\" class=\"glossary-link\">Industry 4.0\u003C/a> infrastructure without proper security architecture means opening attack surfaces on systems never designed to defend themselves.","A ransomware attack on an ICS system doesn't just stop IT: it stops production, contaminates batches, and disables safety systems. The average cost of a production outage from a cyber incident far exceeds the cost of a secure integration project. The question isn't whether to connect: it's how to do it without exposing the plant. Connectivity without architecture isn't progress — it's vulnerability.",[395,398],{"id":263,"text":396,"url":397},"IBM X-Force Threat Intelligence Index 2024","https://www.ibm.com/think/x-force/2024-x-force-threat-intelligence-index",{"id":399,"text":400,"url":401},2,"Dragos Year in Review 2022","https://hub.dragos.com/ics-cybersecurity-year-in-review-2022",{"backgroundColor":273,"tooltip":403,"legend":405,"grid":410,"xAxis":414,"yAxis":426,"series":433},{"trigger":336,"backgroundColor":337,"borderColor":338,"textStyle":404},{"color":340},{"bottom":278,"left":279,"data":406,"textStyle":409},[407,408],"Documented attacks","Projection",{"color":281,"fontSize":282},{"left":411,"right":342,"top":412,"bottom":413},"12%","8%","22%",{"type":354,"data":415,"axisLine":422,"axisTick":424,"axisLabel":425},[416,417,418,419,420,421],"2020","2021","2022","2023","2024","2025",{"lineStyle":423},{"color":363},{"show":308},{"color":297,"fontSize":296},{"type":345,"name":427,"nameTextStyle":428,"splitLine":430,"axisLabel":432},"ICS/OT ransomware attacks",{"color":348,"fontSize":429},9,{"lineStyle":431},{"color":352},{"color":348,"fontSize":282},[434,462],{"name":407,"type":435,"data":436,"smooth":9,"lineStyle":441,"itemStyle":443,"areaStyle":444,"symbol":453,"symbolSize":454,"markPoint":455},"line",[437,438,439,440,187,187],265,400,605,800,{"color":291,"width":442},2.5,{"color":291},{"color":445},{"type":446,"x":447,"y":447,"x2":447,"y2":263,"colorStops":448},"linear",0,[449,451],{"offset":447,"color":450},"rgba(254,107,0,0.3)",{"offset":263,"color":452},"rgba(254,107,0,0)","circle",6,{"data":456,"label":460,"itemStyle":461},[457],{"type":458,"name":459},"max","Max",{"color":340,"fontSize":282},{"color":291},{"name":408,"type":435,"data":463,"smooth":9,"lineStyle":466,"itemStyle":468,"areaStyle":470,"symbol":476,"symbolSize":477},[187,187,187,440,464,465],1050,1320,{"color":291,"type":467,"width":399},"dashed",{"color":291,"opacity":469},0.5,{"color":471},{"type":446,"x":447,"y":447,"x2":447,"y2":263,"colorStops":472},[473,475],{"offset":447,"color":474},"rgba(254,107,0,0.08)",{"offset":263,"color":452},"emptyCircle",5,{"id":479,"sort":477,"visible":9,"simulation":187,"title":480,"tagline":481,"desc":482,"extended":483,"sources":484,"chart":491},"VUL-D","AI Is Waiting for Your Data","The benefits of industrial AI exist. But not without a data infrastructure.","\u003Ca href=\"/en/glossary#ai\" class=\"glossary-link\">Predictive AI\u003C/a> can reduce maintenance costs by 25% [1]. Yet only 8% of companies manage to scale their AI projects beyond the pilot phase [1]. Why? 82% of companies cite data quality and accessibility as the primary barrier — not a lack of \u003Ca href=\"/en/glossary#ai\" class=\"glossary-link\">AI\u003C/a> technology [2].","The problem isn't artificial intelligence: it's the \u003Ca href=\"/en/glossary#data-layer\" class=\"glossary-link\">data layer\u003C/a> that precedes it. A model trained on fragmented \u003Ca href=\"/en/glossary#ot\" class=\"glossary-link\">OT\u003C/a> data, manually cleaned, or aggregated at low frequency doesn't produce operational insights — it produces noise. Investing in \u003Ca href=\"/en/glossary#ai\" class=\"glossary-link\">AI\u003C/a> without first solving the data infrastructure means buying a tool that cannot function in the context for which it was purchased.",[485,488],{"id":263,"text":486,"url":487},"McKinsey & Company, 2023","https://www.mckinsey.com/capabilities/operations/our-insights/from-pilots-to-performance-how-coos-can-scale-ai-in-manufacturing",{"id":399,"text":489,"url":490},"IBM Institute for Business Value, 2021","https://newsroom.ibm.com/IBMs-Global-AI-Adoption-Index-2021",{"backgroundColor":273,"tooltip":492,"grid":495,"xAxis":496,"yAxis":500,"series":510},{"trigger":336,"backgroundColor":337,"borderColor":338,"textStyle":493,"formatter":494},{"color":340},"{b}: {c}%",{"left":342,"right":343,"top":342,"bottom":412,"containLabel":9},{"type":345,"max":370,"axisLabel":497,"splitLine":498},{"color":348,"fontSize":282,"formatter":349},{"lineStyle":499},{"color":352},{"type":354,"data":501,"axisLabel":507,"axisLine":508},[502,503,504,505,506],"Unplanned downtime","Maintenance costs","Demand forecasting","Product quality","Companies scaling AI (McKinsey 2023)",{"color":281,"fontSize":282},{"lineStyle":509},{"color":363},[511],{"type":367,"data":512,"label":528,"barMaxWidth":529},[513,516,518,521,524],{"value":514,"itemStyle":515},25,{"color":291},{"value":514,"itemStyle":517},{"color":291},{"value":377,"itemStyle":519},{"color":520},"rgba(254,107,0,0.65)",{"value":324,"itemStyle":522},{"color":523},"rgba(254,107,0,0.5)",{"value":525,"itemStyle":526},8,{"color":527},"rgba(255,255,255,0.25)",{"show":9,"position":383,"formatter":384,"color":385,"fontSize":296},16,{"id":531,"sort":377,"visible":9,"simulation":187,"title":532,"tagline":533,"desc":534,"extended":535,"sources":536,"chart":543},"VUL-E","The Demographic Winter Won't Wait for the Industrial Plan","Every year, thousands of senior technicians leave. Almost none come in.","With 6.4 births per 1,000 inhabitants — a historic low [1] — Italian manufacturing faces a structural demographic crisis. In major industrial districts, the average worker age exceeds 46. Every year, approximately 52,000 senior operators retire against approximately 18,000 new hires. 45–65% of technical positions go unfilled due to a lack of qualified candidates [2].","This is not an HR problem: it is a physical constraint on installed production capacity. The machines are there, the orders are there. What's missing are people who can operate them with expertise. The demographic curve is already written: every year without knowledge capture systems and digital operator support is a year of irreversible loss of competitive capacity.",[537,540],{"id":263,"text":538,"url":539},"ISTAT, Demographic Indicators 2023","https://www.istat.it/en/press-release/demographic-indicators-year-2023/",{"id":399,"text":541,"url":542},"Excelsior/Unioncamere 2024","https://www.unioncamere.gov.it/comunicazione/comunicati-stampa/aumenta-la-domanda-di-profili-professionali-con-competenze-green-sono-8-su-10-quelli-ricercati-dalle-imprese-il-494-e-di-difficile-reperimento",{"backgroundColor":273,"tooltip":544,"legend":546,"grid":552,"xAxis":553,"yAxis":564,"series":578},{"trigger":336,"backgroundColor":337,"borderColor":338,"textStyle":545},{"color":340},{"bottom":278,"left":279,"data":547,"textStyle":551},[548,549,550],"Retirements (thousands)","New hires (thousands)","Cumulative deficit (thousands)",{"color":281,"fontSize":429},{"left":342,"right":411,"top":342,"bottom":413,"containLabel":9},{"type":354,"data":554,"axisLine":560,"axisTick":562,"axisLabel":563},[420,421,555,556,557,558,559],"2026","2027","2028","2029","2030",{"lineStyle":561},{"color":363},{"show":308},{"color":297,"fontSize":296},[565,573],{"type":345,"name":566,"nameTextStyle":567,"splitLine":569,"axisLabel":571},"Thousands",{"color":568,"fontSize":429},"rgba(255,255,255,0.35)",{"lineStyle":570},{"color":352},{"color":348,"fontSize":429,"formatter":572},"{value}k",{"type":345,"name":574,"position":383,"nameTextStyle":575,"splitLine":576,"axisLabel":577},"Deficit",{"color":523,"fontSize":429},{"show":308},{"color":523,"fontSize":429,"formatter":572},[579,591,596],{"name":548,"type":367,"data":580,"itemStyle":588,"barMaxWidth":590},[581,582,583,584,585,586,587],52,58,61,65,68,71,74,{"color":589},"rgba(255,255,255,0.2)",22,{"name":549,"type":367,"data":592,"itemStyle":595,"barMaxWidth":590},[387,593,529,324,594,311,386],17,14,{"color":291},{"name":550,"type":435,"yAxisIndex":263,"data":597,"smooth":9,"lineStyle":605,"itemStyle":607,"symbol":453,"symbolSize":608},[598,599,600,601,602,603,604],34,75,120,170,224,282,344,{"color":606,"type":467,"width":399},"rgba(254,107,0,0.7)",{"color":606},4,{"id":610,"sort":611,"visible":9,"simulation":187,"title":612,"tagline":613,"desc":614,"extended":615,"sources":616,"chart":627},"VUL-F",55,"Traceability Has Become a Legal Obligation","CSRD, EUDR, NIS2: process documentation is no longer optional.","Three European regulations already in force require structured process data that most manufacturing SMEs cannot provide. D.Lgs. 138/2024 (\u003Ca href=\"/en/glossary#nis2\" class=\"glossary-link\">NIS2\u003C/a>) [1]: companies with more than 50 employees in manufacturing are Important Entities with OT obligations, in effect since October 2024. \u003Ca href=\"/en/glossary#eudr\" class=\"glossary-link\">EUDR\u003C/a> [2]: geolocation of every batch (wood, leather, rubber) with penalties up to 4% of EU turnover. December 2025 deadline for large companies. \u003Ca href=\"/en/glossary#csrd\" class=\"glossary-link\">CSRD\u003C/a> (D.Lgs. 125/2024) [3]: ESG reporting that traces the entire supply chain.","The penalties are not theoretical: \u003Ca href=\"/en/glossary#eudr\" class=\"glossary-link\">EUDR\u003C/a> can reach 4% of annual EU turnover, \u003Ca href=\"/en/glossary#nis2\" class=\"glossary-link\">NIS2\u003C/a> up to €10 million. But above all, non-compliance means expulsion from the supply chains of large international groups — the commercial equivalent of a ban. The same data infrastructure required by compliance is the one that enables predictive \u003Ca href=\"/en/glossary#ai\" class=\"glossary-link\">AI\u003C/a> and quality control. One investment that addresses three urgent needs at once.",[617,620,623],{"id":263,"text":618,"url":619},"D.Lgs. 138/2024 – NIS2 Directive transposition in Italy","https://www.normattiva.it/uri-res/N2Ls?urn:nir:stato:decreto.legislativo:2024-09-04;138",{"id":399,"text":621,"url":622},"EU Regulation 2023/1115 (EUDR)","https://eur-lex.europa.eu/eli/reg/2023/1115/oj?locale=it",{"id":624,"text":625,"url":626},3,"D.Lgs. 125/2024 – CSRD Directive transposition in Italy","https://www.normattiva.it/uri-res/N2Ls?urn:nir:stato:decreto.legislativo:2024-09-06;125",{"backgroundColor":273,"tooltip":628,"legend":632,"grid":637,"xAxis":638,"yAxis":643,"series":652},{"trigger":336,"backgroundColor":337,"borderColor":338,"textStyle":629,"axisPointer":630},{"color":340},{"type":631},"shadow",{"bottom":278,"left":279,"data":633,"textStyle":636},[634,635],"Manual burden (hours/year)","With structured data 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