From Fragmented Systems to a Single Industrial AI Platform
Industrial plants have long struggled with fragmented systems: one interface for maintenance, another for process data, and yet another for analytics. Cognite Flows tackles this by providing a single-screen industrial AI platform that unifies AI-driven recommendations, operational data, and applications in one workspace. Built on Cognite’s Industrial Knowledge Graph, the platform keeps every data point anchored to live operating context—equipment, processes, and production status. This contextualization allows front-line workers to see not just raw numbers, but how those numbers relate to specific assets and workflows. Instead of jumping between multiple tools, operators and engineers can access plant data integration, recommended actions, and workflow tools in a unified environment tailored to their roles. The result is fewer context switches, faster decision cycles, and a foundation where AI industrial operations can be embedded directly into day-to-day plant activities rather than sitting in isolated analytics teams.
App Development Acceleration: From Months to Days
Cognite Flows is not just another dashboard; it reshapes how industrial software is built. The platform’s AI-native architecture and agentic AI coding tools allow developers to rapidly create and deploy tailored applications, compressing timelines that traditionally stretched over months into just days. By sitting directly on top of the Industrial Knowledge Graph, developers avoid repetitive integration work and can focus on business logic and user experience. This app development acceleration means industrial organizations can iterate quickly, respond to changing conditions, and scale digital solutions across sites without massive custom projects each time. Cognite reports that more than 30% of its customer base and key partners are already using Flows, signalling early market validation. For industrial teams under pressure to modernize, this shift in development velocity is central to making AI-driven capabilities practical, sustainable, and continuously improvable in real operating environments.
Unifying AI Recommendations With Live Plant Data
Traditional industrial analytics often operate on offline datasets, limiting their value on the plant floor. Cognite Flows closes this gap by tightly coupling AI recommendations with live, contextualized plant data. The Industrial Knowledge Graph links sensor readings, equipment hierarchies, maintenance logs, and process parameters, enabling AI models to operate on a coherent picture of reality instead of siloed data streams. In practice, this means AI outputs—such as anomaly detections, maintenance suggestions, or optimization tips—appear directly alongside relevant operational data in the same interface. Front-line staff can immediately validate recommendations against current conditions and act within their existing workflows. This integration reduces the complexity of embedding AI industrial operations into daily routines and increases trust in AI outputs. Over time, such unified environments can evolve into proactive AI agents that help manage increasingly complex operations with minimal extra tooling overhead.
Front-Line Focus: Turning Data Into Day-to-Day Tools
A critical design choice in Cognite Flows is its focus on front-line usability. Instead of building tools solely for central analytics or IT teams, the platform tailors interfaces to operators, engineers, and maintenance staff who manage routine and urgent tasks. By presenting data, recommendations, and workflows together, Flows reduces the need to move between disconnected systems during time-critical situations. This aligns with a broader industry push to move AI from the corporate center to the plant floor, where decisions directly impact safety, uptime, and efficiency. IDC’s Jonathan Lang highlights that industrial organizations often lack specialized capabilities in generic enterprise tools, making domain-specific platforms like Flows essential. By combining plant data integration, context-aware AI, and role-based workflows, Cognite Flows aims to translate complex data strategies into tangible daily tools that support safer, more reliable, and more efficient operations.
Real-World Adoption: Capturing Knowledge and Improving Transparency
Early customer deployments illustrate how Cognite Flows can reshape operations. Energy company Idemitsu uses Flows to capture accumulated plant knowledge and expertise in digital form. By leveraging real-time knowledge graphs, the company expects its applications to evolve into proactive AI agents, preserving specialist insights from experienced staff and making them accessible through AI-based tools. Healthcare manufacturer B. Braun is using Flows to gain a unified, contextualized view of asset health across its sites. According to the company, the platform’s flexibility and interoperability enabled rapid user experience refinement; within four weeks, it improved how asset data is visualized and used, with near-instant updates driven by front-line feedback. Cognite also points to a global pharmaceutical company that significantly reduced the time needed to deliver automated AI workflows, reinforcing the platform’s role in accelerating digital transformation and data-driven decision making across industrial sectors.