The startup offers an industrial data analytics platform that digitizes manufacturing operations by aggregating and disaggregating data from both tangible assets like motors and pumps, and intangible processes such as workflows. This technology enables production businesses to enhance operational efficiency and decision-making through data-driven insights.
Funding
$7.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NCFounders
Product
Problem
Manufacturing plants struggle with data silos from disparate IT, OT, and IoT systems, hindering comprehensive analytics and real-time operational insights. The manual and fragmented processes of preparing data for analytics leads to delays, inefficiencies, and disconnected manufacturing operations. This complexity increases IT burden, time-to-value, and the overall risk associated with digital transformation initiatives.
Solution
dDriven's UNLSH platform provides a no-code Industry 4.0 data platform that connects and contextualizes IT, OT, and IoT data, enabling real-time operational intelligence. The platform eliminates data silos by seamlessly blending machine, manufacturing, and business data to create analytics-ready digital twins of enterprise-wide operations. UNLSH simplifies data engineering through a drag-and-drop interface, allowing users to build data pipelines and perform specialized transforms without requiring specialized skills. By operationalizing industrial data, dDriven empowers businesses to enhance decision-making, optimize processes, and drive digital transformation across the enterprise.
Target Audience
dDriven targets manufacturing companies, particularly in the process industry, seeking to improve operational efficiency, reduce costs, and accelerate their digital transformation initiatives.
Features
- No-code data engineering with a drag-and-drop interface for building IT/OT data pipelines
- Vendor-agnostic platform that leverages and liberates data from any IT, OT, and IoT source
- Comprehensive analytics capabilities, including engineering analytics, business analytics, and AI/ML
- Modular architecture allowing users to deploy only the necessary connectors or the entire platform
- Open platform that integrates with any visualization or reporting tool, third-party platform, or cloud platform
- Scalable deployment options, from a single computer to a multi-computer cluster
- Pre-built connectors for popular systems like SAP, OSI PI, AspenTech, AVEVA, Honeywell, and more
- Ability to create operational digital twins with business and domain contextualization