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.btn-secondary{background:rgba(255,255,255,.14);color:#fff;border-color:rgba(255,255,255,.25)}\n@media (max-width:1080px){.guidaio-v3 .hero-grid,.guidaio-v3 .trust-grid,.guidaio-v3 .company-grid,.guidaio-v3 .setup-grid,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid{grid-template-columns:repeat(2,minmax(0,1fr))}}\n@media (max-width:700px){.guidaio-v3{padding:12px 8px 48px}.guidaio-v3 .hero{padding:20px}.guidaio-v3 section.block{padding:20px}.guidaio-v3 .grid-2,.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid,.guidaio-v3 .bestnot,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 h1.title{font-size:28px}}\n\u003c\/style\u003e\n\u003cdiv class=\"guidaio-v3\" itemscope itemtype=\"https:\/\/schema.org\/SoftwareApplication\"\u003e\n\u003cmeta itemprop=\"name\" content=\"idoc PredictIT: Sensor-Based AI Predictive Maintenance\"\u003e\n\u003cmeta itemprop=\"description\" content=\"idoc PredictIT predicts equipment failure from sensor data alone: a model of normal operation alarms on deviation. Cloud or local install, from Danish idoc A\/S.\"\u003e\n\u003cdiv class=\"hero\"\u003e\u003cdiv class=\"hero-grid\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"hero-head\"\u003e\n\u003cdiv class=\"logo-tile\"\u003e\u003cimg src=\"https:\/\/idocpredictit.dk\/wp-content\/uploads\/2025\/01\/idoc-PredictIT-logo.png\" alt=\"idoc PredictIT logo\" itemprop=\"image\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"name-block\"\u003e\n\u003cspan class=\"eyebrow\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"m12 3-1.9 5.8a2 2 0 0 1-1.3 1.3L3 12l5.8 1.9a2 2 0 0 1 1.3 1.3L12 21l1.9-5.8a2 2 0 0 1 1.3-1.3L21 12l-5.8-1.9a2 2 0 0 1-1.3-1.3Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Manufacturing · Operations Supply\u003c\/span\u003e\u003ch1 class=\"title\" itemprop=\"name\"\u003eidoc PredictIT\u003c\/h1\u003e\n\u003cp class=\"lede justify\" itemprop=\"description\"\u003eidoc PredictIT is predictive maintenance software for instrumented industrial equipment. It builds a statistical model of normal operation from sensor data alone, then raises a \u003cb\u003esurprise index\u003c\/b\u003e alarm naming the measurement points that deviate. Cloud or local network deployment.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"badge-row\"\u003e\n\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Active\u003c\/span\u003e\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e GDPR compliant\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"22 7 13.5 15.5 8.5 10.5 2 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"16 7 22 7 22 13\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e Contact Sales\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e No public API\u003c\/span\u003e\u003cspan class=\"badge brand\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Verified by Guidaio\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tbd-row\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eCategories\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip cat\" href=\"\/collections\/manufacturing\"\u003eManufacturing\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/operations-supply\"\u003eOperations Supply\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/observability-monitoring\"\u003eObservability Monitoring\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eTarget domains\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip dom\" href=\"\/collections\/mechanical-manufacturing\"\u003eMechanical Manufacturing\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/energy-utilities\"\u003eEnergy Utilities\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/operations-administration\"\u003eOperations Administration\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/supply-chain-logistics\"\u003eSupply Chain Logistics\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/idocpredictit.dk\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Discover idoc PredictIT\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003caside class=\"snapshot\"\u003e\u003ch3\u003eSnapshot\u003c\/h3\u003e\n\u003cdl\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003ePricing model\u003c\/dt\u003e\n\u003cdd\u003eContact Sales\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eAPI available\u003c\/dt\u003e\n\u003cdd\u003eNo\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eTool status\u003c\/dt\u003e\n\u003cdd\u003eActive\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eCountry of origin\u003c\/dt\u003e\n\u003cdd\u003e🇩🇰 Denmark\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003c\/dl\u003e\u003c\/aside\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cnav class=\"toc\" aria-label=\"Page sections\"\u003e\u003ca href=\"#what\"\u003eWhat is it\u003c\/a\u003e\u003ca href=\"#bestnot\"\u003eWhen to use idoc PredictIT \/ When not to\u003c\/a\u003e\u003ca href=\"#how\"\u003eHow to use\u003c\/a\u003e\u003ca href=\"#proscons\"\u003ePros \u0026amp; Cons\u003c\/a\u003e\u003ca href=\"#pricing\"\u003ePricing\u003c\/a\u003e\u003ca href=\"#trust\"\u003eTrust \u0026amp; Privacy\u003c\/a\u003e\u003ca href=\"#watch\"\u003eWatch-outs\u003c\/a\u003e\u003ca href=\"#setup\"\u003eSetup \u0026amp; Integrations\u003c\/a\u003e\u003ca href=\"#company\"\u003eCompany\u003c\/a\u003e\u003ca href=\"#resources\"\u003eResources\u003c\/a\u003e\u003ca href=\"#faq\"\u003eFAQ\u003c\/a\u003e\u003ca href=\"#conclusion\"\u003eConclusion\u003c\/a\u003e\u003c\/nav\u003e\n\u003csection class=\"block\" id=\"what\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOverview\u003c\/span\u003e\u003ch2\u003eWhat is idoc PredictIT?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"rich justify\"\u003e\n\u003cp\u003e\u003cb\u003eidoc PredictIT\u003c\/b\u003e is predictive maintenance software for industrial equipment, published by idoc A\/S, a Danish engineering company based in Aalborg and registered under CVR number 32838650 since 1 April 2010. The publisher describes itself as an engineering company and a knowledge house within the engineering industry, and presents PredictIT as its predictive maintenance offering. The product was, in the publisher's words, \u003ci\u003edeveloped in collaboration with HUGIN, a Bayesian network software company\u003c\/i\u003e.\u003c\/p\u003e\n\u003cp\u003eThe technical principle is stated plainly. A statistical model automatically estimates the correlations between an item of equipment's measurement points while that equipment is running \u003ci\u003enormally\u003c\/i\u003e. Because the model describes healthy behaviour rather than catalogued faults, no database of labelled breakdowns is needed, which matters where failure history is thin or absent. Once in production, the model receives measurement data continuously and computes a \u003cb\u003esurprise index\u003c\/b\u003e comparing incoming values with expected behaviour. A surprising value raises an alarm to an operator and, importantly, specifies which measurement points are behaving abnormally, so the source of the deviation is identified rather than merely signalled. The vendor states that the tool is based on advanced AI\/ML technology combining knowledge and experience with data.\u003c\/p\u003e\n\u003cp\u003eidoc claims transparency for the model: its credibility can be assessed by users or experts, and it can be adjusted with operators' knowledge and experience. The same model can be reused in other contexts, for instance troubleshooting a system that has already failed. The tool is also framed around spare parts, with the stated vision of getting them to the right place at the right time before a critical breakdown, and around detecting patterns in unplanned maintenance events.\u003c\/p\u003e\n\u003cp\u003eImplementation follows four named steps, Data collection, Model Construction, Integration and idoc PredictIT is live, and the solution can be implemented in the cloud or locally on the company's own internal network.\u003c\/p\u003e\n\u003cp\u003eWhat the site leaves out matters as much. It runs to five pages in total, with no features page, no technical documentation, no public demo, no product API, no mobile app, no named customer and no published price. idoc PredictIT is a contracted engineering solution sold through a sales conversation, not a product you can evaluate on your own.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"font-size:14px;margin-bottom:12px;color:var(--gv3-brand-ink);text-transform:uppercase;letter-spacing:.08em\"\u003eWhat it does\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eEstimate a statistical model of the correlations between measurement points automatically, from data recorded during normal operation.\u003c\/li\u003e\n\u003cli\u003eCompute a surprise index on incoming data and detect values that depart from expected behaviour.\u003c\/li\u003e\n\u003cli\u003eRaise an alarm to an operator and name the measurement points that are behaving abnormally.\u003c\/li\u003e\n\u003cli\u003eConnect an item of equipment's measurement points to idoc PredictIT for continuous monitoring.\u003c\/li\u003e\n\u003cli\u003eValidate and adjust the model with software tools before it goes live.\u003c\/li\u003e\n\u003cli\u003eRefine the model with the knowledge and experience of the operators who run the equipment.\u003c\/li\u003e\n\u003cli\u003ePlan the supply of spare parts ahead of a critical breakdown.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"bestnot\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eAudience\u003c\/span\u003e\u003ch2\u003eWhen to use idoc PredictIT \/ When not to\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA quick filter to help you decide if idoc PredictIT is the right fit.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bestnot\"\u003e\n\u003cdiv class=\"card for\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M7 10v12\"\u003e\u003c\/path\u003e\u003cpath d=\"M15 5.88 14 10h5.83a2 2 0 0 1 1.92 2.56l-2.33 8A2 2 0 0 1 17.5 22H4a2 2 0 0 1-2-2v-8a2 2 0 0 1 2-2h2.76a2 2 0 0 0 1.79-1.11L12 2a3.13 3.13 0 0 1 3 3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When to use idoc PredictIT\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eOperators of instrumented industrial equipment whose measurement points already produce usable data.\u003c\/li\u003e\n\u003cli\u003eMaintenance, reliability and spare-parts teams moving from corrective or calendar-based servicing to condition-based monitoring, so that parts reach the right place before a critical breakdown.\u003c\/li\u003e\n\u003cli\u003ePlants with a thin or non-existent labelled failure history, since the model is estimated on normal operation rather than on catalogued breakdowns.\u003c\/li\u003e\n\u003cli\u003eEngineering teams that want a transparent model they can audit and enrich with operator knowledge, rather than a black box.\u003c\/li\u003e\n\u003cli\u003eOrganisations that need process data to stay in-house, since the solution can be installed locally on the company's own internal network.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card not\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M17 14V2\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 18.12 10 14H4.17a2 2 0 0 1-1.92-2.56l2.33-8A2 2 0 0 1 6.5 2H20a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2h-2.76a2 2 0 0 0-1.79 1.11L12 22a3.13 3.13 0 0 1-3-3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When not to use idoc PredictIT\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eBuyers who need public pricing or self-service onboarding: there is no price list, no sign-up flow, and neither a free trial nor a free plan is advertised, so the only way in is a sales conversation.\u003c\/li\u003e\n\u003cli\u003eDevelopers expecting a product API or a mobile app: none is published, API route probes returned genuine 404s, and App Store and Google Play lookups came back empty against working controls.\u003c\/li\u003e\n\u003cli\u003eOperators of equipment without usable measurement points, since the very first step requires a sensor dataset recorded during normal operation.\u003c\/li\u003e\n\u003cli\u003eEvaluators who want to assess the product on their own: the site has five pages in total, with no technical documentation, no features page and no public demo.\u003c\/li\u003e\n\u003cli\u003eTeams that need a documented interface or contract language other than English: no interface language is published, and the terms and conditions are interpreted and construed exclusively in English.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"how\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eGet started\u003c\/span\u003e\u003ch2\u003eHow to use idoc PredictIT\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA typical end-to-end flow, from setup to results.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003col class=\"steps\"\u003e\n\u003cli\u003eGet in touch with idoc through the Contact us call to action carried on every page, or the Contact Sales email address on the contact page; there is no public sign-up path.\u003c\/li\u003e\n\u003cli\u003eCheck that the equipment you want to monitor already has measurement points producing usable data.\u003c\/li\u003e\n\u003cli\u003eStep 1, Data collection: make a relevant dataset available, recorded from those measurement points while the equipment runs normally.\u003c\/li\u003e\n\u003cli\u003eStep 2, Model Construction: the dataset is used to estimate a model of the correlations between measurement points automatically.\u003c\/li\u003e\n\u003cli\u003eValidate the model and adjust it where necessary using software tools.\u003c\/li\u003e\n\u003cli\u003eStep 3, Integration: connect the equipment's measurement points to idoc PredictIT.\u003c\/li\u003e\n\u003cli\u003eSettle the deployment architecture: cloud, or a local installation on the company's own internal network.\u003c\/li\u003e\n\u003cli\u003eStep 4, idoc PredictIT is live: the model receives data continuously and computes the surprise index.\u003c\/li\u003e\n\u003cli\u003eAct on alarms: an operator is alerted and the deviating measurement points are identified for investigation.\u003c\/li\u003e\n\u003cli\u003eFeed operators' knowledge and experience back into the model, and reuse it in other contexts such as troubleshooting a system that has already failed.\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"proscons\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eQuick read\u003c\/span\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"pc pros\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Pros\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eNo labelled failure history required: the model is estimated on normal operation, not on a catalogue of past breakdowns.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eWorks from sensor data that is already available, described by the vendor as a model built from sensor data only.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eThe model is presented as transparent and its credibility as assessable by users or experts, rather than a black box.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eAlarms name the offending measurement points instead of emitting a binary signal, which shortens investigation.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eOperators' field knowledge can be injected into the model, and the model can be reused in other contexts.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eLocal installation option: industrial data can stay on the customer's own internal network.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eBacked by an established publisher, idoc A\/S, registered since 2010 and listing 51-200 employees on LinkedIn, with HUGIN as a Bayesian network partner.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc cons\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"4.93\" y1=\"4.93\" x2=\"19.07\" y2=\"19.07\"\u003e\u003c\/line\u003e\u003c\/svg\u003e Cons\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo public pricing whatsoever: no price list, no order of magnitude, not even a pricing page, on a site that totals five pages.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo free trial and no free plan is announced, and no self-service entry point exists.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo public technical documentation, no features page and no demo, so the product cannot be evaluated remotely.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo product API and no mobile app: API route probes returned genuine 404s, and iTunes and Google Play lookups were negative against working controls.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo security certification is published, neither ISO 27001 nor SOC 2 nor any other.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo data processing agreement, no sub-processor list and no named hosting country; the privacy policy covers the website only, not the industrial data entrusted to the tool.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo named customer, no performance figure and no quantified use case; unedited template placeholders are still present in the footer links.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"pricing\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003ePricing\u003c\/span\u003e\u003ch2\u003ePricing \u0026amp; Plans\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp class=\"rich justify\" style=\"color:var(--gv3-ink-2);margin:0 0 18px;max-width:80ch\"\u003eNo price is published. idoc PredictIT has no pricing page: three exhaustive enumerations of the site, through its page sitemap, its llms.txt file and the WordPress REST API, return the same five pages, none of them commercial. A search of the collected pages for price, pricing, currency, subscription, free trial or demo terms returns no amount at all. No free trial, no free plan, no credit pack and no commitment is described anywhere. The publisher's own site lists Competetive Prices (sic) among its selling points without attaching a single figure to it. Pricing is therefore established case by case: a quote is obtained by contacting idoc through the Contact us call to action carried on every page, or through the Contact Sales email address published on the contact page. This is why the starting price, currency and billing unit fields are left empty on this record.\u003c\/p\u003e\n\u003cdiv class=\"pricing-extras\"\u003e\u003cdiv class=\"affiliate-note\"\u003ePrices and plans listed above may evolve. Always check the official pricing page before subscribing.\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"trust\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eTrust \u0026amp; Privacy\u003c\/span\u003e\u003ch2\u003eData, GDPR \u0026amp; hosting\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA consolidated view of how idoc PredictIT handles your data.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-grid\"\u003e\n\u003cdiv class=\"col\"\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eGDPR overview\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eCompliance is claimed in writing: idoc states that its processing of personal data is consistent with the applicable legislation, such as the General Data Protection Regulation. The policy names its legal bases, Article 6(1)(b) and Article 6(1)(f), and lists data subject rights with their articles: access (15), rectification (16), erasure (17), restriction and objection (21). Rights are exercised at Info@idoc.dk, and the supervisory authority named is the Danish Data Protection Agency (datatilsynet.dk). The gaps are just as visible: no data protection officer, no published data processing agreement, no sub-processor list and no described transfer mechanism outside the EEA. As a Danish company, idoc needs no Article 27 representative. One drafting error: the right to restriction is attributed to Article 16 instead of Article 18. The policy covers the website only, never industrial sensor data.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eWho owns the data?\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 12px\"\u003eThe published documents cover the website, not the plant. Clause 4 of the terms and conditions, last updated on 13 January 2025, reserves the intellectual property in the site and its resources to idoc or its licensors. Clause 7 goes further: any idea submitted without a prior written agreement grants idoc a worldwide, irrevocable, non-exclusive, royalty-free licence to use, reproduce, store, adapt, publish, translate and distribute that content. The privacy policy names idoc as responsible for processing personal data concerning its business partners and customers. Nothing published states who owns the sensor and process data a customer entrusts to idoc PredictIT, or what idoc may do with it; that has to be settled in the contract.\u003c\/p\u003e\n\u003ch3\u003eReuse rights\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eThe terms grant the end user no reuse right: clause 4 reserves the site and its resources to idoc and its licensors, while clause 7 runs the other way and licenses to idoc any idea a visitor submits without a prior agreement. On personal data, the privacy policy relies on Article 6(1)(b) of the GDPR (performance of a contract) and Article 6(1)(f) (legitimate interest). The data described is business contact data: company name, CVR number, contact person, telephone, email, website and payment information. Cookies collect a unique identifier, technical information about the device, IP address, geographic location and pages clicked, for technical, statistical, personalisation and marketing purposes, with consent gathered through a banner. idoc states that it entrusts website personal data to data processors, but publishes no list of them. Whether customer or sensor data is used to train models is never addressed, in either direction.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eData retention \u0026amp; training\u003c\/h3\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eRetention summary\u003c\/div\u003e\n\u003cdiv class=\"v justify\"\u003eRetention rules are published for website and business contact personal data only. Where a customer relationship exists, idoc keeps the collected personal data for 10 years after the end of the cooperation, on the stated ground that documentation may be needed in the event of a disagreement; before that rule applies, customer information is kept as long as it is found necessary. Where no customer relationship is established, for someone who simply gets in touch, the information is deleted within 12 months. Nothing is published about the sensor and process data handled by idoc PredictIT itself: no retention period, no deletion procedure and no anonymisation is described for industrial data.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eGDPR contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:Info@idoc.dk\"\u003eInfo@idoc.dk\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"col\"\u003e\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eHosting summary\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eThe only statement about where the product runs is that the solution can be implemented in the cloud or locally on the company's own internal network. No country, no region, no cloud provider and no data centre is named. No sub-processor is identified either: the privacy policy says idoc entrusts website personal data to data processors, without listing them, and describes no mechanism for transfers outside the EEA. The publisher is established in Denmark, so its own processing falls under Danish and EU law, but that follows from where the company sits, not from any hosting commitment. One measured fact concerns the marketing site alone: idocpredictit.dk resolves to 94.231.106.67, announced by AS48854 team.blue Denmark A\/S in Aarhus, with no anycast flag, so the website is served from Denmark. That says nothing about where the platform would process sensor data. Organisations with a data residency requirement should note that the local installation is the only published way to keep industrial data inside their own network, and should have hosting, sub-processors and transfers written into the contract.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block watch\" id=\"watch\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eWatch-outs\u003c\/span\u003e\u003ch2\u003eThings to keep in mind\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eRisks and trade-offs to weigh before adopting idoc PredictIT.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cul class=\"brand-list\" style=\"grid-template-columns:repeat(2,1fr);display:grid;gap:12px 24px\"\u003e\n\u003cli\u003eTemplate residue in the footer of every page: the links point to mailto:contact@mysite.com and tel:123-456-7890 while the displayed text reads joe@idoc.as and +45 35 12 39 39. The displayed details are the real ones, the phone number matching the domain registrant record exactly; the links are unedited Elementor placeholders, and a sign the site has not been fully proofread.\u003c\/li\u003e\n\u003cli\u003eTwo divergent telephone numbers: 20 60 50 82 on the contact page, +45 35 12 39 39 in the footer. Only the second appears in the Danish company register and the domain whois record, so confirm which line to call before relying on either.\u003c\/li\u003e\n\u003cli\u003eThree domains for one publisher: idocpredictit.dk for the product, idoc.as for the publisher's own site and its sales address, idoc.dk for the GDPR contact. No postal address is published on the product domain itself.\u003c\/li\u003e\n\u003cli\u003eHUGIN is a development partner in Bayesian networks, not an integration: developed in collaboration with HUGIN says nothing about connectors a customer can switch on. No third-party connector is named anywhere, which is why the integrations field is left empty.\u003c\/li\u003e\n\u003cli\u003eThe privacy policy covers the website only. It says nothing about the sensor data entrusted to the tool: no ownership clause, no retention period, no hosting location, no position on model training. It also contains a legal typo, attributing the right to restriction of processing to Article 16 instead of Article 18 of the GDPR.\u003c\/li\u003e\n\u003cli\u003eNo certification is claimed anywhere, neither ISO 27001 nor SOC 2 nor any other, so none should be assumed. Likewise, the WordPress REST endpoint at \/wp-json that answers with HTTP 200 is CMS plumbing, not a product API: probes of \/api, \/api\/v1 and \/api\/v1\/health returned genuine 404s and the site never mentions an API.\u003c\/li\u003e\n\u003cli\u003ePart of the company identity comes from off-site registers rather than the website: the 1 April 2010 start date is from the Danish CVR register, and the legal entity has changed name twice under the same CVR number (IDOC ENGINEERING ApS 2010-2012, IDOC ApS 2012-2015, IDOC A\/S since 6 October 2015). Its registered purpose is generic, handel og investering under NACE code 829900, although company name, address, telephone and email all match the site.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"setup\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eSetup\u003c\/span\u003e\u003ch2\u003eSetup \u0026amp; Integrations\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-grid\"\u003e\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eTechnical difficulty\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eHigh for a self-service buyer, moderate for an already instrumented plant. This is an engineering project run with the publisher, not a sign-up: the equipment must carry usable measurement points, a dataset has to be recorded during normal operation, the resulting model is validated and adjusted with software tools, and the measurement points are then connected to idoc PredictIT. One architecture decision comes up front, cloud or local installation on the internal network. No public technical documentation, connector list or protocol is published, so effort and lead time can only be established with idoc.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"company\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompany\u003c\/span\u003e\u003ch2\u003eBehind idoc PredictIT\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-grid\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCompany name\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cb\u003eidoc A\/S\u003c\/b\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eFounded\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e01\/04\/2010\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCountry of origin\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇩🇰 Denmark\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eHeadquarters\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eGasværksvej 24, 9000 Aalborg, Denmark\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eDomain registrar country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇩🇰 Denmark\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eSupport contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:joe@idoc.as\"\u003ejoe@idoc.as\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display:grid;gap:14px\"\u003e\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eSocial\u003c\/h3\u003e\n\u003cdiv class=\"social-row\"\u003e\u003ca class=\"social\" href=\"https:\/\/www.linkedin.com\/company\/idoc-documentation-with-results-\/\" target=\"_blank\" rel=\"noopener\" aria-label=\"LinkedIn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-4 0v7h-4v-7a6 6 0 0 1 6-6z\"\u003e\u003c\/path\u003e\u003crect x=\"2\" y=\"9\" width=\"4\" height=\"12\"\u003e\u003c\/rect\u003e\u003ccircle cx=\"4\" cy=\"4\" r=\"2\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"resources\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOfficial links\u003c\/span\u003e\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eAll the official URLs gathered for verification and reference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"res-grid\"\u003e\n\u003ca class=\"res\" href=\"https:\/\/idocpredictit.dk\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20\"\u003e\u003c\/path\u003e\u003cpath d=\"M2 12h20\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eHomepage\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003eidocpredictit.dk\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/idocpredictit.dk\/index.php\/about-us\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"12\" y1=\"16\" x2=\"12\" y2=\"12\"\u003e\u003c\/line\u003e\u003cline x1=\"12\" y1=\"8\" x2=\"12.01\" y2=\"8\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eAbout\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003eidocpredictit.dk\/index.php\/about-us\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/idocpredictit.dk\/index.php\/contact\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003crect x=\"2\" y=\"4\" width=\"20\" height=\"16\" rx=\"2\"\u003e\u003c\/rect\u003e\u003cpath d=\"m22 7-10 5L2 7\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eContact\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003eidocpredictit.dk\/index.php\/contact\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/idocpredictit.dk\/index.php\/terms-and-conditions\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z\"\u003e\u003c\/path\u003e\u003cpolyline points=\"14 2 14 8 20 8\"\u003e\u003c\/polyline\u003e\u003cline x1=\"16\" y1=\"13\" x2=\"8\" y2=\"13\"\u003e\u003c\/line\u003e\u003cline x1=\"16\" y1=\"17\" x2=\"8\" y2=\"17\"\u003e\u003c\/line\u003e\u003cpolyline points=\"10 9 9 9 8 9\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eTerms\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003eidocpredictit.dk\/index.php\/terms-and-conditions\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/idocpredictit.dk\/index.php\/privacy-policy-cookies\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003ePrivacy policy\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003eidocpredictit.dk\/index.php\/privacy-policy-cookies\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"faq\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eFAQ\u003c\/span\u003e\u003ch2\u003eFrequently asked questions\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq\"\u003e\n\u003cdetails\u003e\u003csummary\u003eHow does idoc PredictIT detect a problem? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eA statistical model of the equipment's normal operation is estimated from its measurement points. In production, the model computes a surprise index that compares incoming values with expected behaviour; a surprising value is what triggers detection.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDo I need a history of past failures to use it? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo. The model is estimated from data recorded while the equipment is running normally, not from a database of labelled breakdowns. That is the point of the approach for plants whose failure history is thin.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat data do I have to provide? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eA relevant dataset from the measurement points of the equipment you want to monitor, collected during normal operation. The equipment must therefore already be instrumented with usable measurement points.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat happens when an anomaly is detected? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eAn alarm is raised to an operator, and the measurement points that are behaving abnormally are specified, so the source of the deviation is identified rather than merely flagged.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eCan the solution run inside our own network? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes. idoc states that the solution can be implemented in the cloud or locally on the company's own internal network. No hosting country, region or cloud provider is named for the cloud option.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs the model a black box? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eidoc says it is not: the model is described as transparent, and its credibility can be assessed by users or experts. It can also be adjusted with the knowledge and experience of the operators.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWho publishes idoc PredictIT? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eidoc A\/S, an engineering company based at Gasværksvej 24, 9000 Aalborg, Denmark, registered under CVR number 32838650. The product was developed in collaboration with HUGIN, a Bayesian network software company.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow much does it cost? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo price is published, in any form. There is no pricing page, no free trial and no free plan. A figure can only be obtained by contacting idoc through the Contact us call to action or the Contact Sales email address.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there an API or a mobile app? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNeither is published. Probes of API routes returned genuine 404s, the site never mentions an API, and App Store and Google Play lookups found no application against working controls.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow do I exercise my GDPR rights? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eBy writing to Info@idoc.dk. The privacy policy names the Danish Data Protection Agency (datatilsynet.dk) as the supervisory authority, and covers website personal data only, not industrial sensor data.\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block conclusion\" id=\"conclusion\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eConclusion\u003c\/span\u003e\u003ch2\u003eShould you pick idoc PredictIT?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rich justify\" style=\"max-width:80ch\"\u003e\n\u003cp\u003eidoc PredictIT is a niche tool sold under contract by an engineering company, not a self-service SaaS, and it is best read as the software arm of a predictive maintenance practice. Its technical differentiator is coherent and unusual enough to justify a conversation: the model is estimated on \u003cb\u003enormal operation\u003c\/b\u003e instead of a catalogue of past failures, alarms name the deviating measurement points instead of emitting a binary signal, the model is claimed to be transparent and assessable by users or experts, and operator know-how can be fed back into it. For a plant that is already instrumented but short on labelled failure history, that combination addresses a real obstacle.\u003c\/p\u003e\n\u003cp\u003eThe commercial side is entirely opaque. No price, no order of magnitude, no free trial, no named customer and no published metric: five pages that document the principle rather than the delivered product. Nothing tells you what the platform looks like day to day, what it connects to, or where it runs.\u003c\/p\u003e\n\u003cp\u003eThe publisher, by contrast, is solid and verifiable: idoc A\/S, Aalborg, CVR 32838650, continuously registered since 2010, with a stated development partnership with HUGIN on Bayesian networks.\u003c\/p\u003e\n\u003cp\u003eIf the tool fits your situation, bring a written list to the sales call: the price and how it is calculated, what the integration step actually connects to and over which protocols, who owns the sensor data and how long it is kept, where the platform is hosted if you take the cloud option, whether a data processing agreement is available, and exactly what the local installation covers. The published privacy policy answers none of these for industrial data. It covers the website only.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/idocpredictit.dk\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit idoc PredictIT\u003c\/a\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003c\/div\u003e","brand":"idoc A\/S","offers":[{"title":"Default Title","offer_id":58389643821387,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/files\/official-idoc-predictit-by-guidaio_71d46d26-ac08-4256-a51d-8c588975eb0a.png?v=1788731276","url":"https:\/\/guidaio.com\/products\/idoc-predictit","provider":"Guidaio","version":"1.0","type":"link"}