A Unified Workspace for Frontline Industrial Teams
Cognite Flows is designed to bring industrial AI tools directly to the factory floor, giving operators and engineers a single-screen workspace that blends AI recommendations, operational data, and applications. Instead of switching between disconnected systems to handle inspections, troubleshooting, or urgent incidents, users see context-rich information and actions in one interface tailored to their role. The platform is built on Cognite’s Industrial Knowledge Graph, which keeps plant data and AI insights tied to the live operating context of assets, processes, and events. This alignment is crucial in heavy industry, where decisions must reflect current plant conditions, not static reports. By integrating plant data integration capabilities with AI-driven workflows, Cognite Flows aims to turn complex datasets into operational efficiency software that is usable by frontline staff, rather than being confined to central analytics teams.
App Development Acceleration: From Months to Days
Beyond the operator experience, Cognite Flows also targets the way industrial software is built and deployed. Developers can use agentic AI coding tools and an AI-native architecture to assemble and adapt applications much faster than with conventional custom development. Cognite reports that some implementations now take days instead of months, shrinking the time between identifying a use case and delivering a working app to the plant. This app development acceleration is especially significant for industrial AI tools, which often stall in prototyping because data, models, and user interfaces live in separate systems. By tying development directly into the Industrial Knowledge Graph and live plant data, Flows allows teams to create, test, and iterate workflows in the same environment where operators will use them, reducing handoffs and integration overhead.
Solving Data Fragmentation to Boost Operational Efficiency
Many manufacturers and energy operators have invested heavily in sensors and data historians, yet still struggle to convert that information into daily decision support. Cognite Flows addresses this bottleneck by bringing plant data integration, analytics, and workflow tools into a unified operational layer. According to IDC’s Jonathan Lang, industrial organizations often lack specialized capabilities in horizontal enterprise technologies, limiting their ability to scale AI. Flows responds by combining domain-aware data modeling with AI-driven recommendations in a way that reflects how plants actually run. The result is operational efficiency software that can support routine tasks, guided troubleshooting, and continuous improvement initiatives in one place. Instead of deploying isolated dashboards or point solutions, organizations can build composable applications that share a common understanding of assets and processes, improving both data quality and the pace of innovation.
Capturing Plant Knowledge and Scaling AI on the Floor
Early adopters are already using Cognite Flows to close long-standing gaps between seasoned experts and AI systems. Idemitsu is applying the platform to capture decades of plant knowledge in digital form, moving beyond basic visualization to create applications that, over time, can act as proactive AI agents for complex operations. B. Braun is using Flows to gain clearer visibility into asset health, reporting that within four weeks it substantially refined how operational data is presented to users, with near-instant UX updates driven by feedback. Cognite also highlights a global pharmaceutical customer that significantly reduced the time needed to deliver automated AI workflows. These cases point to a broader trend: faster deployment of AI-driven insights on factory floors, where intuitive interfaces and live operating context are just as important as algorithm performance.