{"schemaVersion":"ready-scan.discovery-entity.v3","id":"urn:readyscan:entity:deduce-data-solutions-q141205126","slug":"deduce-data-solutions-q141205126","kind":"entity","entityType":"Organization","canonicalUrl":"https://directory.readyscan.ai/entities/deduce-data-solutions-q141205126","machineUrl":"https://directory.readyscan.ai/discovery/entities/deduce-data-solutions-q141205126.json","llmsUrl":"https://directory.readyscan.ai/entities/deduce-data-solutions-q141205126/llms.txt","name":"Deduce Data Solutions","alternateNames":[],"websiteUrl":"https://deducedata.solutions/","category":{"slug":"businesses","name":"Businesses","canonicalUrl":"https://directory.readyscan.ai/directory/businesses"},"description":"Deduce Data Solutions: “Inteligencia artificial para procesos industriales. Spin-off de la Universidad de Cantabria que construye modelos con la física del proceso dentro para hornos, fundición, forja, energía y logística industrial.”","summary":"Deduce Data Solutions: “Inteligencia artificial para procesos industriales. Spin-off de la Universidad de Cantabria que construye modelos con la física del proceso dentro para hornos, fundición, forja, energía y logística industrial.”","localizedDescriptions":[],"claims":[{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-1b229aa1c44c6db1f2c9","label":"Deduce Data Solutions","value":"“Inteligencia artificial para procesos industriales. Spin-off de la Universidad de Cantabria que construye modelos con la física del proceso dentro para hornos, fundición, forja, energía y logística industrial.”","sourceIds":["source-24fccbcc111be80d"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-db8759a06fb34fe7262b","label":"What data do you need to start?","value":"“What already exists: SCADA history, CMMS records, ERP or MES orders. No new sensors are installed to get started. You can also start with little history, because the model relies on the process balances and not only on recorded examples.”","sourceIds":["source-24fccbcc111be80d"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-7307eb5933a0e95c7161","label":"Do we have to touch the installation or the PLCs?","value":"“No. The model reads what the plant records and sends the recommendation to the shift screen or, if the project calls for it, writes it to the control system. PLC logic is not modified.”","sourceIds":["source-24fccbcc111be80d"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-5377f13e5377bda4f78c","label":"How is this different from a dashboard?","value":"“A dashboard shows what has happened. Here you get what to do, with the variables that weigh on that recommendation and its confidence level, and the model stays valid when the material or the recipe changes.”","sourceIds":["source-24fccbcc111be80d"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-f830f01cfd70962bd1e4","label":"How does a project start?","value":"“With a call about one specific process. Then we review the available data and set a baseline for consumption, rejects or lead time before building anything, so the result can be measured against it.”","sourceIds":["source-24fccbcc111be80d"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-e1664d11c6de616db784","label":"Do we need to modernise our infrastructure to implement AI with DDS?","value":"“No. We work on top of the infrastructure you already have. We connect to existing PLCs, SCADAs, MES and ERPs over OPC-UA, Modbus, MQTT, REST or flat-file exports.”","sourceIds":["source-7de72193b7a32af8"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-6a11671ed5620ba83e7d","label":"What industrial and management systems can DDS integrate with?","value":"“We connect to SCADAs (Siemens, Schneider, Wonderware, Ignition), historians (PI System, Wonderware Historian), MES, ERPs (SAP, Microsoft Dynamics, Odoo), maintenance CMMS, cloud IoT platforms (AWS, Azure, GCP), and relational and time-series databases.”","sourceIds":["source-7de72193b7a32af8"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-61dd2d04bdd1f5600b0d","label":"What if our data is scattered or unlabelled?","value":"“It's the most common situation on the plant floor, and it's part of the initial diagnosis work. Before modelling anything, we map the data's sources, quality, frequency and semantics.”","sourceIds":["source-7de72193b7a32af8"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-ba16509f47eb684e41d2","label":"Does AI have to live in the cloud, or can it run on the plant floor (edge)?","value":"“Both. We run 100% on-premise deployments, hybrid deployments with edge on the plant floor and cloud for reporting, and fully cloud deployments when the client wants operational lightness.”","sourceIds":["source-7de72193b7a32af8"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-d2f33e15d3a1b7e10a14","label":"Where is our plant's data stored?","value":"“Wherever your IT and security team decides. By default, all sensitive data stays inside the client's perimeter. If anything is uploaded to the cloud, it's anonymised metrics for training or operational telemetry, never production recipes or competitive information, unless expressly agreed.”","sourceIds":["source-7de72193b7a32af8"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-fcdec64456059c4bd7b1","label":"How do you handle security and data protection?","value":"“Our processes follow NIS2 (the EU cybersecurity directive for essential sectors), ISO/IEC 27001 practices, and GDPR requirements for personal data.”","sourceIds":["source-7de72193b7a32af8"]}],"knowledge":{"offerings":[],"answers":[{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-db8759a06fb34fe7262b","question":"What data do you need to start?","answer":"“What already exists: SCADA history, CMMS records, ERP or MES orders. No new sensors are installed to get started. You can also start with little history, because the model relies on the process balances and not only on recorded examples.”","sourceIds":["source-24fccbcc111be80d"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-db8759a06fb34fe7262b"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-7307eb5933a0e95c7161","question":"Do we have to touch the installation or the PLCs?","answer":"“No. The model reads what the plant records and sends the recommendation to the shift screen or, if the project calls for it, writes it to the control system. PLC logic is not modified.”","sourceIds":["source-24fccbcc111be80d"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-7307eb5933a0e95c7161"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-5377f13e5377bda4f78c","question":"How is this different from a dashboard?","answer":"“A dashboard shows what has happened. Here you get what to do, with the variables that weigh on that recommendation and its confidence level, and the model stays valid when the material or the recipe changes.”","sourceIds":["source-24fccbcc111be80d"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-5377f13e5377bda4f78c"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-f830f01cfd70962bd1e4","question":"How does a project start?","answer":"“With a call about one specific process. Then we review the available data and set a baseline for consumption, rejects or lead time before building anything, so the result can be measured against it.”","sourceIds":["source-24fccbcc111be80d"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-f830f01cfd70962bd1e4"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-e1664d11c6de616db784","question":"Do we need to modernise our infrastructure to implement AI with DDS?","answer":"“No. We work on top of the infrastructure you already have. We connect to existing PLCs, SCADAs, MES and ERPs over OPC-UA, Modbus, MQTT, REST or flat-file exports.”","sourceIds":["source-7de72193b7a32af8"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-e1664d11c6de616db784"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-6a11671ed5620ba83e7d","question":"What industrial and management systems can DDS integrate with?","answer":"“We connect to SCADAs (Siemens, Schneider, Wonderware, Ignition), historians (PI System, Wonderware Historian), MES, ERPs (SAP, Microsoft Dynamics, Odoo), maintenance CMMS, cloud IoT platforms (AWS, Azure, GCP), and relational and time-series databases.”","sourceIds":["source-7de72193b7a32af8"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-6a11671ed5620ba83e7d"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-61dd2d04bdd1f5600b0d","question":"What if our data is scattered or unlabelled?","answer":"“It's the most common situation on the plant floor, and it's part of the initial diagnosis work. Before modelling anything, we map the data's sources, quality, frequency and semantics.”","sourceIds":["source-7de72193b7a32af8"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-61dd2d04bdd1f5600b0d"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-ba16509f47eb684e41d2","question":"Does AI have to live in the cloud, or can it run on the plant floor (edge)?","answer":"“Both. We run 100% on-premise deployments, hybrid deployments with edge on the plant floor and cloud for reporting, and fully cloud deployments when the client wants operational lightness.”","sourceIds":["source-7de72193b7a32af8"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-ba16509f47eb684e41d2"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-d2f33e15d3a1b7e10a14","question":"Where is our plant's data stored?","answer":"“Wherever your IT and security team decides. By default, all sensitive data stays inside the client's perimeter. If anything is uploaded to the cloud, it's anonymised metrics for training or operational telemetry, never production recipes or competitive information, unless expressly agreed.”","sourceIds":["source-7de72193b7a32af8"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-d2f33e15d3a1b7e10a14"]},{"id":"content-native-digital-agencies-d759f63e7a5f6d21-a-fcdec64456059c4bd7b1","question":"How do you handle security and data protection?","answer":"“Our processes follow NIS2 (the EU cybersecurity directive for essential sectors), ISO/IEC 27001 practices, and GDPR requirements for personal data.”","sourceIds":["source-7de72193b7a32af8"],"claimIds":["content-native-digital-agencies-d759f63e7a5f6d21-a-fcdec64456059c4bd7b1"]}],"developments":[]},"sources":[{"id":"source-record","title":"Deduce Data Solutions website","publisher":"deducedata.solutions","url":"https://deducedata.solutions/","accessedOn":"2026-10-23"},{"id":"source-24fccbcc111be80d","title":"deducedata.solutions/en/home/","publisher":"deducedata.solutions","url":"https://deducedata.solutions/en/home/","accessedOn":"2026-10-23","relatedPublicationsUrl":"https://readyscan.ai/sources/source-24fccbcc111be80d"},{"id":"source-7de72193b7a32af8","title":"deducedata.solutions/en/faq/","publisher":"deducedata.solutions","url":"https://deducedata.solutions/en/faq/","accessedOn":"2026-10-23","relatedPublicationsUrl":"https://readyscan.ai/sources/source-7de72193b7a32af8"}],"ownership":{"state":"public_sourced_unclaimed","notice":"Public-source record; owner verification is not claimed.","provenance":{"snapshotId":"deduce-data-solutions-q141205126-content-dd1195d98624f556-snapshot","sourceId":"ready-scan-subjects","sourceRecordId":"Q141205126","sourceRevisionId":"Q141205126:content:444efc7ab77f59ef","sourceContentHash":"fnv1a64:191d0b36667fd67b","recordRevisionId":"Q141205126:content:444efc7ab77f59ef","recordContentHash":"fnv1a64:eff04e02f77ec2ac","sourceCanonicalUrl":"https://deducedata.solutions/","sourceModifiedAt":"2026-10-23T22:33:45.481Z","observedOn":"2026-10-23","permission":{"basis":"public_information","evidenceUrl":"https://deducedata.solutions/"},"attributionUrl":"https://deducedata.solutions/"}},"datePublished":"2026-10-23","dateModified":"2026-10-23","contentFingerprint":"fnv1a64:0a51b6dbd2e8cbaa","revision":"fnv1a64:6e44cf61a2b73c2e","agentProtocol":{"discovery":"https://readyscan.ai/api/v1/ai-search/discovery","evidence":"https://readyscan.ai/api/v1/ai-search/entities/deduce-data-solutions-q141205126/evidence"},"structuredData":{"@context":"https://schema.org","@id":"https://directory.readyscan.ai/entities/deduce-data-solutions-q141205126#entity","name":"Deduce Data Solutions","identifier":"urn:readyscan:entity:deduce-data-solutions-q141205126","description":"Deduce Data Solutions: “Inteligencia artificial para procesos industriales. Spin-off de la Universidad de Cantabria que construye modelos con la física del proceso dentro para hornos, fundición, forja, energía y logística industrial.”","url":"https://deducedata.solutions/","mainEntityOfPage":"https://directory.readyscan.ai/entities/deduce-data-solutions-q141205126","datePublished":"2026-10-23","dateModified":"2026-10-23","citation":["https://deducedata.solutions/","https://deducedata.solutions/en/home/","https://deducedata.solutions/en/faq/"],"additionalProperty":[{"@type":"PropertyValue","propertyID":"ownership-state","name":"Ownership state","value":"public_sourced_unclaimed"},{"@type":"PropertyValue","propertyID":"content-fingerprint","name":"Material content fingerprint","value":"fnv1a64:0a51b6dbd2e8cbaa"},{"@type":"PropertyValue","propertyID":"source-record","name":"Source record","value":"ready-scan-subjects/Q141205126"},{"@type":"PropertyValue","propertyID":"source-revision","name":"Source revision","value":"Q141205126:content:444efc7ab77f59ef"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-1b229aa1c44c6db1f2c9","name":"Deduce Data Solutions","value":"“Inteligencia artificial para procesos industriales. Spin-off de la Universidad de Cantabria que construye modelos con la física del proceso dentro para hornos, fundición, forja, energía y logística industrial.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-db8759a06fb34fe7262b","name":"What data do you need to start?","value":"“What already exists: SCADA history, CMMS records, ERP or MES orders. No new sensors are installed to get started. You can also start with little history, because the model relies on the process balances and not only on recorded examples.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-7307eb5933a0e95c7161","name":"Do we have to touch the installation or the PLCs?","value":"“No. The model reads what the plant records and sends the recommendation to the shift screen or, if the project calls for it, writes it to the control system. PLC logic is not modified.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-5377f13e5377bda4f78c","name":"How is this different from a dashboard?","value":"“A dashboard shows what has happened. Here you get what to do, with the variables that weigh on that recommendation and its confidence level, and the model stays valid when the material or the recipe changes.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-f830f01cfd70962bd1e4","name":"How does a project start?","value":"“With a call about one specific process. Then we review the available data and set a baseline for consumption, rejects or lead time before building anything, so the result can be measured against it.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-e1664d11c6de616db784","name":"Do we need to modernise our infrastructure to implement AI with DDS?","value":"“No. We work on top of the infrastructure you already have. We connect to existing PLCs, SCADAs, MES and ERPs over OPC-UA, Modbus, MQTT, REST or flat-file exports.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-6a11671ed5620ba83e7d","name":"What industrial and management systems can DDS integrate with?","value":"“We connect to SCADAs (Siemens, Schneider, Wonderware, Ignition), historians (PI System, Wonderware Historian), MES, ERPs (SAP, Microsoft Dynamics, Odoo), maintenance CMMS, cloud IoT platforms (AWS, Azure, GCP), and relational and time-series databases.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-61dd2d04bdd1f5600b0d","name":"What if our data is scattered or unlabelled?","value":"“It's the most common situation on the plant floor, and it's part of the initial diagnosis work. Before modelling anything, we map the data's sources, quality, frequency and semantics.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-ba16509f47eb684e41d2","name":"Does AI have to live in the cloud, or can it run on the plant floor (edge)?","value":"“Both. We run 100% on-premise deployments, hybrid deployments with edge on the plant floor and cloud for reporting, and fully cloud deployments when the client wants operational lightness.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-d2f33e15d3a1b7e10a14","name":"Where is our plant's data stored?","value":"“Wherever your IT and security team decides. By default, all sensitive data stays inside the client's perimeter. If anything is uploaded to the cloud, it's anonymised metrics for training or operational telemetry, never production recipes or competitive information, unless expressly agreed.”"},{"@type":"PropertyValue","propertyID":"claim:content-native-digital-agencies-d759f63e7a5f6d21-a-fcdec64456059c4bd7b1","name":"How do you handle security and data protection?","value":"“Our processes follow NIS2 (the EU cybersecurity directive for essential sectors), ISO/IEC 27001 practices, and GDPR requirements for personal data.”"}],"@type":"Organization"}}