From Fragmented Systems to a Single Industrial Workspace
Industrial teams have long struggled with fragmented tools, jumping between control systems, maintenance platforms, and analytics dashboards to perform everyday tasks. Cognite Flows aims to collapse this complexity into a single-screen workspace designed specifically for factories, plants, and production sites. Built on Cognite’s Industrial Knowledge Graph, the platform ties AI-driven recommendations directly to live operating context, ensuring that data, insights, and actions stay synchronized with real-time plant conditions. This unified environment is tailored for each worker, whether they are monitoring asset health or responding to urgent alarms. Instead of treating AI as a back-office capability, Cognite Flows pushes industrial AI tools to the front line, where operators and engineers can access contextualized information without navigating multiple systems. The result is smoother workflows, fewer manual handoffs, and a foundation for sustained operational efficiency gains.
App Development Acceleration: From Months to Days
Cognite Flows is not just a user interface; it redefines how industrial software is built and deployed. By combining agentic AI coding tools with an AI-native architecture, the platform enables developers and partners to create tailored applications at unprecedented speed. Cognite reports that work which previously required more than 20 people and several months to deliver a prototype was completed in just four days using Flows, while preparation for user acceptance testing dropped from six to nine months down to two. These gains come from deep plant data integration and automated handling of contextual relationships, which dramatically reduce manual configuration, data wrangling, and repetitive testing. For industrial organizations under pressure to scale digital initiatives, this kind of app development acceleration transforms AI projects from multi-quarter efforts into agile, iterative deployments that can be refined continuously with feedback from front-line users.
Industrial AI Tools Built Around Live Plant Data
At the core of Cognite Flows is the Industrial Knowledge Graph, which connects sensors, equipment, historical logs, and operational systems into a coherent data model. This plant data integration allows AI agents to reason over real-time and historical context, generating recommendations that are directly relevant to current operating conditions. Instead of building one-off integrations for each new use case, developers can tap into this shared, contextual layer to rapidly configure new applications. For operators, this means AI-generated suggestions—such as anomaly alerts, asset health indicators, or procedural guidance—are grounded in the latest plant status rather than static reports. The tight link between AI outputs and live operational data reduces the need for extensive manual tuning and revalidation, shortening test cycles and accelerating deployment. In practice, organizations can move from concept to field-ready AI tools in days, while maintaining traceability back to source data.
Real-World Use Cases: Capturing Expertise and Enhancing Visibility
Early adopters are already demonstrating how Cognite Flows can reshape industrial operations. Idemitsu is using the platform to turn decades of specialist plant knowledge into a digital legacy, embedding expertise into AI-based tools that can evolve into proactive agents managing complex operations. B. Braun is leveraging Flows to gain a unified, contextual view of its asset data, improving operational transparency across sites. Within just four weeks, the company refined how asset health information is visualized and consumed by users, with near-instant updates driven by on-the-ground feedback. Cognite also cites a global pharmaceutical company that dramatically shortened the timeline for automated AI workflows using Flows. These cases highlight a broader pattern: when AI recommendations, plant data integration, and user-centric design come together, industrial organizations can boost operational efficiency while empowering front-line staff with richer, more actionable insights.
Partner Ecosystem and the Future of Industrial Operations
Cognite Flows is being rolled out through a growing partner ecosystem, including firms such as Radix, L&T Technology Services, and RoviSys. Partners report that the platform removes much of the traditional friction in building mission-critical industrial applications, allowing them to focus on solving complex operational challenges rather than wrestling with fragmented data and infrastructure. Cognite states that more than 30% of its customer base and key partners are already enabled with Flows, signaling early momentum. Industry analysts note that many manufacturers and energy producers have struggled to scale AI initiatives due to specialized requirements unmet by generic enterprise tools. By delivering industrial AI tools aligned with plant realities—unified data, live context, and front-line usability—Cognite Flows points toward a future where AI-powered decision support becomes an embedded part of everyday operations, compressing development cycles and unlocking new levels of responsiveness and efficiency.