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summary{cursor:pointer;list-style:none;font-weight:700;color:var(--gv3-ink);display:flex;justify-content:space-between;align-items:center;gap:10px;font-size:15px}\n.guidaio-v3 .faq summary::-webkit-details-marker{display:none}\n.guidaio-v3 .faq summary svg{color:var(--gv3-brand)}\n.guidaio-v3 .faq .ans{color:var(--gv3-muted);margin-top:10px;font-size:14px}\n.guidaio-v3 section.block.conclusion{background:radial-gradient(700px 320px at 0% 0%,rgba(124,99,255,.18),transparent 60%),linear-gradient(135deg,#1c163a 0%,#2c1d8a 100%);color:#fff;border-color:#2c1d8a}\n.guidaio-v3 section.block.conclusion .head h2{color:#fff}\n.guidaio-v3 section.block.conclusion .lead,.guidaio-v3 section.block.conclusion .rich p{color:rgba(255,255,255,.88)}\n.guidaio-v3 section.block.conclusion .rich strong,.guidaio-v3 section.block.conclusion .rich b{color:#fff}\n.guidaio-v3 section.block.conclusion .eyebrow{background:rgba(255,255,255,.14);color:#fff}\n.guidaio-v3 section.block.conclusion .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=\"OPOP: Machine Learning Soft Sensors for Process Industry\"\u003e\n\u003cmeta itemprop=\"description\" content=\"OPOP turns historical plant data into machine learning soft sensors that predict laboratory and analyser values in real time. On-premise, price on request.\"\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:\/\/static.wixstatic.com\/media\/aa9673_dbb5a61a49514fe3ae409538683c0d98~mv2.png\" alt=\"OPOP 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\"\u003eOPOP\u003c\/h1\u003e\n\u003cp class=\"lede justify\" itemprop=\"description\"\u003eOPOP is Austrian soft sensor software for the process industry. It trains machine learning models on historical plant data to predict critical parameters in real time, helping operations teams cut production costs \u003cb\u003ewithout additional hardware or CAPEX\u003c\/b\u003e.\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\"\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\/no-low-code\"\u003eNo Low Code\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\/oil-gas\"\u003eOil Gas\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/energy-utilities\"\u003eEnergy Utilities\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/mechanical-manufacturing\"\u003eMechanical Manufacturing\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/environment-sustainability\"\u003eEnvironment Sustainability\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/data-ai\"\u003eData Ai\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/quality-regulatory\"\u003eQuality Regulatory\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/operations-administration\"\u003eOperations Administration\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/ehs\"\u003eEhs\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:\/\/www.opop.at\/\" 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 the OPOP website\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\u003eDeployment\u003c\/dt\u003e\n\u003cdd\u003eDesktop app\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🇦🇹 Austria\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 OPOP \/ 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 OPOP?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"rich justify\"\u003e\n\u003cp\u003eOPOP - short for Operational Optimization for Process Industry - is soft sensor software for continuous process plants. A soft sensor is a machine learning model trained on a plant's historical process data: from the measurements that are available continuously, it infers a quantity that is not, such as a product property normally checked in a laboratory or a value read by a physical analyser. The vendor frames this as finally putting existing process databases to work, with \u003cb\u003eno additional hardware and no CAPEX\u003c\/b\u003e, because the value comes from data the plant already stores.\u003c\/p\u003e\n\u003cp\u003eThe software is deployed \u003cb\u003eon-premise\u003c\/b\u003e and designed as self-service, aimed explicitly at plant engineers and operations teams rather than at data scientists or external consultants. The product screenshot published on the home page shows a Windows desktop application, version v0.1.0, organised around three tabs: Models, Training and Databases. A Model Details panel exposes the model name, upload date, accuracy (84.69% in the published example), model type (random_forest), status and the field being predicted, in that example cold filter plugging point in degrees Celsius. A Live Model Prediction Graph overlays the real value and the prediction, with a configurable number of points and a refresh interval set to 10 seconds in the example. Two further charts, Performance on Training Data and Performance on Test Data, compare actual and predicted values across the history, so the engineer can judge a model before relying on it.\u003c\/p\u003e\n\u003cp\u003eThe White Paper claims three benefits: lower costs through better use of resources and energy, lighter quality monitoring, and more flexible, more robust processes thanks to a digital backup measurement and smarter monitoring. Three use cases are published with figures attached: desulphurisation, furnace outlet temperature and flue gas analysis.\u003c\/p\u003e\n\u003cp\u003eBehind the product are three founders based in Vienna: one from process engineering and operational optimisation, one software engineer working on complex connected systems, and one physicist specialised in machine learning. The site footer displays support from Wirtschaftsagentur Wien, INiTS and the Sustainability Challenge. No trading company is named anywhere on the site.\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\u003ePredict a critical process parameter in real time from data the plant already records\u003c\/li\u003e\n\u003cli\u003eReplace a failed analyser with a digital backup measurement so the unit stays controllable\u003c\/li\u003e\n\u003cli\u003eBuild a soft sensor from historical process data, in about 30 minutes in one published case\u003c\/li\u003e\n\u003cli\u003eTrain and evaluate machine learning models directly from the application\u003c\/li\u003e\n\u003cli\u003eConnect the software to an existing process database\u003c\/li\u003e\n\u003cli\u003eFollow prediction against actual measurement on a live graph refreshed every 10 seconds\u003c\/li\u003e\n\u003cli\u003eCheck model accuracy on training and test data before relying on a prediction\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 OPOP \/ When not to\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA quick filter to help you decide if OPOP 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 OPOP\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eRefinery and continuous-process teams that want to steer a unit on a live quality figure instead of a weekly laboratory sample\u003c\/li\u003e\n\u003cli\u003ePlant and operations engineers who want to exploit their own process data themselves, without hiring a data scientist\u003c\/li\u003e\n\u003cli\u003eSites that need a backup measurement when a physical analyser fails, without buying a replacement instrument\u003c\/li\u003e\n\u003cli\u003eOrganisations sitting on years of stored process data that currently produces no operational value\u003c\/li\u003e\n\u003cli\u003eFurnace and combustion operators looking to hold optimal firing when an outlet temperature or oxygen reading is unavailable\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 OPOP\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eBuyers who want to sign up, download and evaluate a tool on their own: entry runs through a contact form or an introductory call\u003c\/li\u003e\n\u003cli\u003eTeams looking for a ready-to-use SaaS platform, since the software is described as an on-premise deployment\u003c\/li\u003e\n\u003cli\u003eProcurement processes that need a published price or a free tier before opening a file: no rate card, free plan or trial exists\u003c\/li\u003e\n\u003cli\u003eEngineering teams that require a documented API, named connectors or a mobile app, none of which is offered\u003c\/li\u003e\n\u003cli\u003eBuyers with strict vendor-maturity or compliance requirements: the product screenshot is stamped v0.1.0 and no terms, DPA or security page is published\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 OPOP\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\u003eRead the White Paper, which downloads freely from the home page as a PDF without any form, to test the approach against your own unit\u003c\/li\u003e\n\u003cli\u003eSend the contact form on the home page (first name, surname, e-mail, phone, company, role) or request a first conversation, as there is no online sign-up and no public download\u003c\/li\u003e\n\u003cli\u003eAgree the scope with the vendor, then have the on-premise software installed on a workstation\u003c\/li\u003e\n\u003cli\u003eLog in to the desktop application\u003c\/li\u003e\n\u003cli\u003eOpen the Databases tab and connect the application to your historical process data source\u003c\/li\u003e\n\u003cli\u003eGo to the Training tab and train a model on that history; the published example shows a model uploaded on 30\/03\/2025, type random_forest, status Finished\u003c\/li\u003e\n\u003cli\u003eOpen the Models tab to review the model details: accuracy, model type and the field being predicted\u003c\/li\u003e\n\u003cli\u003eRead the Performance on Training Data and Performance on Test Data charts before putting the model into service\u003c\/li\u003e\n\u003cli\u003eRun the Live Model Prediction Graph, choosing the number of values displayed and the refresh interval, to follow prediction against actual measurement\u003c\/li\u003e\n\u003cli\u003eRepeat the cycle for each further parameter; one published case reports a soft sensor built in about 30 minutes\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\u003eThree concrete industrial use cases with figures attached: around 2% of hydrogen saved, up to 10% of fuel avoided, a soft sensor built in about 30 minutes\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 no-CAPEX argument is coherent: the value comes from process data the plant already stores, with no instrument to buy\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\u003eOn-premise deployment keeps process data inside the industrial site\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\u003eSelf-service design explicitly aimed at plant engineers, without a data scientist or an external integrator\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 interface exposes model accuracy and actual-versus-predicted curves, so the user can check the result rather than take it on trust\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 White Paper downloads without a form, and the founders publish individual e-mail addresses for direct contact\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\u003eInstitutional backing is displayed: Wirtschaftsagentur Wien, INiTS and the Sustainability Challenge\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 published price and no pricing page: the cost of the software cannot be known before contacting the vendor\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\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 terms of service, no data processing agreement, no security page and no retention commitment\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\u003eThe privacy policy is four short paragraphs and covers the marketing site only, never the customer's process data; no hosting country, certification or sub-processor list is given\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 API, no technical documentation, no mobile app, and no third-party system named anywhere (historian, DCS, OPC and the like)\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\u003eThe German and English Impressum publish two different legal addresses, and no legal entity is identifiable: no legal form, no company register number, no VAT number, the Impressum naming a natural person\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\u003eEarly-stage signals throughout: the product screenshot is stamped v0.1.0, three pages of the site are unedited Wix templates, one product page is empty, and there is no social presence\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 for the product. There is no pricing page, no amount on the home page and no figure in the White Paper. There is no free plan and no free trial, so no entry price point can be quoted. The commercial model observable on the site is contact-sales: a form on the home page or a first conversation precedes any quotation. Readers should note that the amounts of EUR 80, EUR 120 and EUR 150 visible on three program pages of the site are unedited Wix template prices, carried alongside placeholder descriptions; they do not price the software and should not be read as an entry cost.\u003c\/p\u003e\n\u003cdiv class=\"pricing-extras\"\u003e\n\u003cdiv class=\"offer\"\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\u003cpath d=\"M2 9a3 3 0 1 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 1 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m9 14 6-6\"\u003e\u003c\/path\u003e\u003ccircle cx=\"9.5\" cy=\"9.5\" r=\".5\"\u003e\u003c\/circle\u003e\u003ccircle cx=\"14.5\" cy=\"14.5\" r=\".5\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003cdiv\u003e\n\u003cb\u003eSpecial offers\u003c\/b\u003e — No discount, promotion or launch programme is advertised, and no student, non-profit or start-up pricing is mentioned · The only items offered free of charge are the White Paper PDF, which downloads from the home page without any form, and a first conversation with the vendor presented as carrying no obligation\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"affiliate-note\"\u003ePrices and plans listed above may evolve. Always check the official pricing page before subscribing.\u003c\/div\u003e\n\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 OPOP 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\"\u003eOPOP never uses the words GDPR or DSGVO anywhere on its site, so it makes no compliance claim at all. The privacy policy runs to four short sections. It says personal data is collected and used only within legal requirements, lists the browsing data captured (IP address, browser type, operating system, access time), and recognises three rights: access, rectification and erasure, to be exercised through the contact details given in the Impressum, in practice office@opop.at. There is no named data protection officer, no legal basis cited, no retention period, no sub-processor list and no Article 27 representative. As the publisher is established in Vienna, Austria, the GDPR applies by law whatever the site says. The website itself runs on Wix infrastructure, a technical processor the policy does not disclose. No data processing agreement is offered anywhere.\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 privacy policy covers only the marketing website. OPOP states that it automatically collects an IP address, browser type, operating system and access time, and uses them solely for technical optimisation and security. Nothing on the site addresses ownership of the customer's process data: no terms of service, no licence agreement and no data processing agreement are published, so no written clause assigns rights over plant data to either party. In practice the software is described as on-premise, which means historical and live process data stay inside the customer's own systems. That is a consequence of the deployment model rather than a contractual commitment.\u003c\/p\u003e\n\u003ch3\u003eReuse rights\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eFor website data, OPOP declares a narrow use: technical optimisation and security, plus anonymised statistical analysis through analytics cookies that visitors can switch off in their browser. The policy states that data is not passed on to third parties unless the law requires it. Nothing is said about reusing visitor data for any other purpose, and the site takes no position, in either direction, on training models with customer data. Inside the product the logic is different: the software trains models on the customer's own historical process data, on the customer's premises, with model types such as random_forest and an accuracy figure displayed in the interface. That is the product doing its job, not the vendor exploiting data. Because no terms of service are published, end users have no written permission and no written restriction governing what they may do with the models or the predictions they produce.\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\"\u003eNo retention period is published. The privacy policy sets no duration for the browsing data it describes, namely IP address, browser type, operating system and access time, and says nothing about whether or when that data is anonymised or deleted. Customer process data is not covered at all: there are no terms of service, no data processing agreement and no retention commitment anywhere on the site. The only related element is the right to erasure, which the policy recognises alongside access and rectification, to be exercised through the contact details published in the Impressum. Analytics cookies are described as anonymised, but no lifetime is given for them. A buyer with a retention requirement will have to negotiate it directly with the vendor.\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:office@opop.at\"\u003eoffice@opop.at\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 White Paper states that the OPOP software can be deployed on-premise, meaning it runs on the customer's own infrastructure and process data need not leave the industrial site. Beyond that, the site names no hosting country and no hosting region, for the product or for the company. No sub-processor list is published and no data processing agreement is offered. The marketing website itself is hosted on Wix (IP 185.230.63.107, AS58182 Wix.com Ltd., an anycast address), which indicates where the brochure lives and not where any customer data lives; the privacy policy does not disclose Wix as a technical processor. The publisher is established in Vienna, so Austrian and EU law is the applicable jurisdiction for the company, but the site makes no explicit statement about data residency or about the jurisdiction governing customer data. A buyer who needs a documented hosting arrangement will have to obtain it directly from the vendor.\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 OPOP.\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\u003eThe legal identity is not established: the Impressum names a natural person, with no legal form, company register number or VAT number, and no OPOP entity was found in the Austrian company register or in GLEIF. The Czech boiler manufacturer OPOP spol. s r.o. is an unrelated namesake.\u003c\/li\u003e\n\u003cli\u003eThe German and English Impressum publish two different legal addresses (Media Quarter Marx 3.4, Maria-Jacobi-Gasse 1\/5. Stock, 1030 Wien, and Helene Thimig W. 8, 1230 Vienna). Both are stable in web archives, so this reflects two versions maintained in parallel rather than an update in progress.\u003c\/li\u003e\n\u003cli\u003eThree pages of the site are unedited Wix templates, including a team page presenting four fictional people and placeholder text. Nothing on those pages describes the real company, and a reader in a hurry could easily mistake them for staff information.\u003c\/li\u003e\n\u003cli\u003eThe amounts of EUR 80, EUR 120 and EUR 150 found on three program pages are Wix template prices attached to placeholder descriptions, not the price of the software; one product page is empty, and three page titles still carry a leftover project name.\u003c\/li\u003e\n\u003cli\u003eThe site's llms.txt file announces an MCP endpoint and API documentation. This is Wix platform boilerplate, not a product API, and quoting it as an integration capability would be a mistake.\u003c\/li\u003e\n\u003cli\u003eMaturity risk: the product screenshot is stamped v0.1.0 and the example model dates from March 2025. There is no public documentation, no support address and no social presence to fall back on, and the Supported by logos (Wirtschaftsagentur Wien, INiTS, Sustainability Challenge) are public bodies and an incubator, not customers or integrations.\u003c\/li\u003e\n\u003cli\u003eA soft sensor is an inferred value, not a measurement. The 84.69% accuracy shown in the vendor's own example is a useful reminder that predictions drift as a plant changes, and that operators can drop their guard when a screen keeps producing a plausible number. Treating a prediction as a safety-relevant reading, or letting physical instrumentation and human verification lapse because a model is running, would be a serious misuse.\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\"\u003eModerate. OPOP describes its software as self-service, intuitive and integrable into existing workflows without an external service provider, and one published case reports a soft sensor built on historical data in about 30 minutes. In practice, reaching that point requires an on-premise installation and a connection to a process database through the Databases tab, so IT and OT involvement is needed, along with a usable history of process data. No public installation documentation, help page or support subdomain exists. Because access runs through a sales conversation, the vendor is present during setup.\u003c\/p\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eDeployment\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003eDesktop app\u003c\/span\u003e\u003c\/div\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 OPOP\u003c\/h2\u003e\n\u003c\/div\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\u003eFlorian Možina\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\"\u003eINFORMATION_NOT_FOUND\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🇦🇹 Austria\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eHeadquarters\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eMedia Quarter Marx 3.4, Maria-Jacobi-Gasse 1\/5. Stock, 1030 Wien\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🇦🇹 Austria\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eLegal contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:office@opop.at\"\u003eoffice@opop.at\u003c\/a\u003e\u003c\/div\u003e\n\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:\/\/www.opop.at\/\" 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\"\u003ewww.opop.at\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/www.opop.at\/datenschutz\" 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\"\u003ewww.opop.at\/datenschutz\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\u003eWhat exactly is a soft sensor in OPOP? \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\"\u003eIt is a machine learning model trained on the plant's historical process data. From the measurements recorded continuously, it predicts a quantity that is not measured continuously: a laboratory property, or a value normally read by a physical analyser.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDo we need to buy additional hardware? \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. OPOP states the promise explicitly as working without additional hardware or CAPEX. The model is built from process data the plant already stores, so no new instrument has to be installed.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhere does the software run? \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\"\u003eOn-premise, on the customer's own systems. The product screenshot published on the home page shows a desktop application running under Windows, with tabs for Models, Training and Databases.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow long does it take to build a soft sensor? \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\"\u003eThe furnace outlet temperature case published on the home page reports a soft sensor built on historical data in about 30 minutes. No general figure is given for other parameters.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat savings does OPOP claim? \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\"\u003eAround 2% of hydrogen in a refinery desulphurisation unit, and up to 10% of fuel avoided in the flue gas case, where operators would otherwise raise excess air as a precaution after an oxygen analyser failure.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow much does OPOP 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. Entry runs through the contact form on the home page or a first conversation. The amounts shown on the site's leftover Wix program pages are template placeholders and do not price the software.\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 documented. Path and subdomain probes on \/api, \/docs and api., docs., help. returned nothing, and the MCP endpoint announced in the site's llms.txt file is Wix platform boilerplate, not a product API.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow does OPOP handle the GDPR? \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\"\u003eThe privacy policy covers the marketing website only and never mentions the GDPR. No compliance is claimed, no data processing agreement is published and no retention period is stated. Access, rectification and erasure requests go to the address given in the Impressum.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWho publishes OPOP? \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\"\u003eThree founders based in Vienna. The Impressum is in the name of Florian Možina as a natural person, and no registered company under this name was found in the Austrian company register or in GLEIF.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat kind of model does the tool use? \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\"\u003eThe interface displays random_forest as the model type and an accuracy of 84.69% in the published example. No other algorithm is named on the site.\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 OPOP?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rich justify\" style=\"max-width:80ch\"\u003e\n\u003cp\u003eOPOP makes a clear, testable technical proposition: train a machine learning model on process data a plant already stores, and use it to predict continuously a value that is otherwise sampled in a laboratory or read by a physical analyser. Three published use cases give the argument substance, covering sulphur content in a desulphurisation unit, furnace outlet temperature and flue gas oxygen, each with a figure attached. The on-premise, self-service design fits the stated audience: plant engineers who want measurement redundancy or fewer laboratory delays without a data science project or an external integrator.\u003c\/p\u003e\n\u003cp\u003eCommercial maturity is another matter. There is no published price, no terms of service, no data processing agreement and no technical documentation, and the product screenshot is stamped v0.1.0. The showcase site itself is untidy: three pages are unedited Wix templates, one of them listing four fictional staff and others carrying placeholder program prices, one product page is empty, and the German and English Impressum publish two different Vienna addresses that have both been stable for months. No legal entity could be found either: searches of the Austrian company register and of GLEIF return nothing, and the Impressum names a natural person rather than a company.\u003c\/p\u003e\n\u003cp\u003eThe natural buyer is an operations team that already holds a usable history of process data, is looking for a digital backup measurement or a way to lighten laboratory testing, and is comfortable engaging a very young Vienna vendor through a direct conversation. Anyone who needs a rate card, contractual data commitments, named connectors or documentation before committing will find nothing on the site to work with. On its engineering claims OPOP deserves a call; on its paperwork it is still an early-stage supplier.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/www.opop.at\/\" 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 OPOP\u003c\/a\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Florian Možina","offers":[{"title":"Default Title","offer_id":58389711946059,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/files\/official-opop-by-guidaio_ab447176-4b5f-4bc2-ad96-b1e980a7fedf.png?v=1788733661","url":"https:\/\/guidaio.com\/products\/opop","provider":"Guidaio","version":"1.0","type":"link"}