From Fragmented Data to a Single Industrial Workspace
Industrial operations have long struggled with fragmented systems, where engineers juggle SCADA monitoring screens, maintenance tools, and data historians just to understand what is happening on the plant floor. Cognite Flows addresses this by delivering a single-screen workspace that blends AI-driven recommendations, operational data, and industrial applications in one place. Built on Cognite’s Industrial Knowledge Graph, the platform maintains a tight link between data and live operating context—meaning insights are always grounded in what is actually happening in the plant. This unified view is more than a new dashboard; it is an operational data integration layer that surfaces the right information to the right worker at the right time. By minimizing the need to switch between disconnected systems, Flows helps front-line teams handle both routine and urgent tasks more efficiently, making industrial AI tools directly usable where production decisions are made.
Compressing Industrial App Development From Months to Days
Traditional industrial application projects can take months, weighed down by custom coding, complex integrations, and validation cycles. Cognite Flows aims to rewrite this timeline. The platform introduces agentic AI coding tools and an AI-native architecture that automate large parts of app development, from data wiring to interface generation. Developers and industrial engineers can rapidly assemble tailored apps that connect to live plant data, test them against real conditions, and deploy them to users in a matter of days in some implementations. This shift in app development automation dramatically reduces time-to-value for improvements such as asset health dashboards, guided troubleshooting flows, or digital logbooks. Instead of one-off, hard-coded solutions, teams can iteratively design and refine applications that reflect evolving operational requirements. The result is a more responsive development cycle that keeps pace with changing plant realities while still satisfying industrial reliability expectations.
AI on Top of Existing Infrastructure, Not Instead of It
A key design principle behind Cognite Flows is that industrial organizations should not have to rip and replace existing systems to adopt AI. The platform connects to current infrastructure, such as SCADA monitoring environments and other control or asset systems, and uses the Industrial Knowledge Graph to contextualize this data. This approach preserves investments in established tools while unlocking new AI-driven workflows on top. Operators can use Flows to build custom applications that tap into existing signals, alarms, and historical records without disrupting core control systems. By maintaining data continuity, industrial teams avoid the risks of parallel, shadow IT solutions and ensure that AI insights are grounded in authoritative operational sources. This integration-first strategy makes it easier for organizations to scale industrial AI tools across plants and refineries, knowing they can extend rather than replace their technology base.
Putting AI in the Hands of Front-Line Operators
Cognite Flows is designed not just for central analytics teams but for the people working closest to the equipment. Its unified workspace gives operators AI-driven recommendations alongside live process data, checklists, and workflow tools tailored to their roles. For manufacturers and energy producers, this tackles a longstanding challenge: connecting scattered operational data and turning it into practical tools that support day-to-day decisions. Customers such as Idemitsu use Flows to capture and digitalize accumulated plant knowledge, preserving specialist expertise as senior staff retire. Others, including B. Braun, use it to improve visibility into asset health across sites, ensuring maintenance and reliability teams share a consistent, data-rich view. By enabling front-line workers to build or adapt applications themselves—without deep coding expertise—the platform brings industrial AI tools out of the back office and embeds them directly in operational routines.
Scaling Industrial AI Across Ecosystems of Partners
Adoption of Cognite Flows is already spreading through Cognite’s customer and partner ecosystem, with around 30% of its base and key partners enabled on the platform. Launch partners such as Radix, L&T Technology Services, and RoviSys are using Flows as a foundation to deliver AI-enhanced solutions more quickly to their industrial clients. This partnership-led model helps organizations standardize how they approach operational data integration and app development automation across multiple plants and vendors. According to IDC’s Jonathan Lang, many industrial companies struggle to scale AI initiatives because generic enterprise technologies lack the specialized capabilities plants require. Flows is positioned as a targeted response to that gap, combining domain-specific data modeling with AI-native development tools. As partners and customers co-develop applications on the same platform, they can reuse components, share best practices, and create a more consistent industrial AI experience from the control room to the corporate office.