Golden Data builds DPlus® — an AI-native industrial operating intelligence platform and cognitive decision system for manufacturing, energy and infrastructure.
Industrial sites are not short of data — they are short of trusted answers and executable decisions. DPlus closes that gap.
Collect · Contextualise · Analyse · Act — a continuous loop from raw signal to operational action.
Ingest high-frequency and historical data from PLC, DCS, SCADA, OPC, Modbus, MQTT, IIoT gateways, sensors, databases and cloud systems.
Link raw signals to assets, processes, locations, events and object twins — keeping high fidelity while making data reusable.
Apply engineering formulas, mechanistic models, dynamic thresholds, anomaly detection and no-code AI model training.
Turn insight into action via dashboards, events, alarms, reports, fault knowledge, work orders, APIs and AI interaction.
DPlus does not deliver isolated AI features. It organises data, engineering models, fault knowledge and workflows into digital experts — each tied to a clear industrial job.
Asset health monitoring, early warning, fault diagnosis and predictive maintenance.
Detects process-curve anomalies, operating-window deviation and condition drift; supports energy efficiency.
Builds the OODT object network — the reusable semantic foundation every other agent relies on.
Feature engineering, algorithm selection and small-model training for diagnosis, prediction and optimisation.
Connects quality results, process parameters and equipment state for root-cause analysis and improvement.
Natural-language front line: query data, understand alarms, retrieve knowledge, generate reports, trigger actions.
Brings DPlus to inspection robots, drones and mobile sensors — the cognitive layer for physical AI.
Configurable experts that feel like a 30-year master — e.g. vacuum-pump or tightening-process specialists.
One platform as the common base, with industry object models, fault knowledge bases and templates for fast replication.
Cold rolling, fans, drives, vibration & temperature monitoring, dynamic thresholds, quality root-cause analysis.
Asset performance, energy analysis, vibration analysis, predictive maintenance and operational optimisation.
Pumps, compressors, heat exchangers, valves, process-parameter coupling and unit optimisation.
Remote monitoring, lifecycle records, health reports, FMEA knowledge base and service workflows.
Critical-equipment diagnosis, OEE analysis, asset operations management and process quality management.
Asset performance and operations, energy analysis, predictive maintenance and operational optimisation.
DPlus packages AI into measurable business outcomes. Customers pay for diagnosis, optimisation, reports and closed-loop value through DPlus Tokens — outcome-based service credits, not raw model tokens. Deploy in the mode that fits your security and infrastructure needs:
For large enterprises with their own data centre or private cloud. Maximum data control and compliance.
An on-premise hardware appliance with DPlus and agents pre-installed. Data never leaves the plant.
SaaS for fast, low-cost value validation — ideal for SMEs and international customers.
Real deployments, an end-to-end delivery team and partnerships with AWS, IBM and the University of Manchester.
Golden Data is a provider of AI-native industrial operating intelligence platforms and cognitive decision systems. Founded in 2019 and based in Salford, Greater Manchester, it helps industrial enterprises turn fragmented data into trusted answers, fast diagnosis and executable decisions through its DPlus platform.
DPlus is an AI-native industrial operating intelligence platform. It connects real-time plant data, asset context, engineering models, fault knowledge, work orders and AI interaction into one trusted operating intelligence layer that supports predictive maintenance, anomaly detection, quality analysis and energy optimisation.
OODT is Golden Data's industrial object semantic layer. It organises equipment, components, measurement points, processes, alarms, events, work orders, documents and knowledge into a unified industrial object network, so AI can understand equipment structure, operating context, fault mechanisms and business processes.
They are AI agents mapped to real industrial roles: Riley (reliability), Nora (process & operations), Otto (OODT semantic mapping), Oscar (data science), Quinn (quality), Maya (maintenance & knowledge copilot) and Atlas (robotic field intelligence), plus configurable domain experts such as vacuum-pump or tightening-process specialists.
Steel & metallurgy, energy, chemical and process manufacturing, equipment manufacturing, environmental recycling, automotive manufacturing, and utilities & building facilities.
DPlus follows a Results-as-a-Service (RaaS) model based on DPlus Tokens — outcome-based credits for analysis, diagnosis, optimisation and reporting. It deploys in three modes: Private Compute, AI Appliance and Cloud Service.
Yes. DPlus integrates with PLC, DCS, SCADA, MES, ERP, CMMS, IIoT gateways, historians and APIs, building an AI operating intelligence layer on top of existing automation and IT systems.
Golden Data is based in Salford, Greater Manchester (M5 4LT), and works with partners including AWS, IBM and the University of Manchester.
Book a demo or talk to our team about a pilot in your plant.
+44 (0) 161 964 8888 · Linden Court House, 52 Liverpool Street, Salford, M5 4LT