Seamlessly acquires and cleanses data from loT sensors, industrial control systems(SCADA, PLCs, DCS), and enterprise IT systems, ensuring high-quality, real-time data availability.

Leverages machine learning and digital twin technology to model equipment behaviour, detect anomalies, and forecast failures, enabling proactive maintenance and operational efficiency.

Captures and structures industry-specific operational knowledge, enhancing Al explainability and reliability while making data-driven insights more contextual and actionable.

Converts real-time industrial data into prescriptive insights, enabling smarter, automated, and data-driven decision-making for enhanced operational performance.

Natively integrates with LLMs to enhance industrial Al applications, allowing for natural language interactions, Al-powered recommendations, and advanced knowledge retrieval. Additionally, DPLUS connects effortlessly with existing industrial ecosystems, cloud platforms, and enterprise applications, ensuring smooth data interoperability across the organisation.