IRIS Workspace transforms industrial analysis and collaboration

Simultaneously collaborate with AI-powered analysis and live industrial information in an infinitely sized environment.

Digital workspace interface displaying various charts, graphs, and data blocks including plant revenue, fuel price, costs, and emissions, with a line graph of daily planned outage percentages, a schematic engineering diagram, and a product service manual image, along with a sidebar containing tool icons and a user profile indicator.
Two-page datasheet for SymphonyAI IRIS Workspace, presenting collaborative problem-solving for industrial operations. The first page highlights challenges in manufacturing, energy, and oil industries caused by deviations from best processes, such as missed targets and revenue losses, and introduces a unified workspace to streamline troubleshooting and collaboration. The second page lists seven features of IRIS Workspace: simultaneous collaboration, unified data analysis, interactive tools, no-code environment, AI-powered analysis, version tracking and auditing, live data visualization, and comprehensive governance. The datasheet includes SymphonyAI branding.
Get the IRIS Workspace data sheet

Learn how analyzing live industrial data in a collaborative environment can reduce time spent gathering data, increase knowledge sharing, and deliver data-driven analysis.

Collaborate for fast analysis and minimize data gathering

9.2

hours per week spent searching and gathering information

25%

increase in productivity through collaboration

83%

reduction in the time to access relevant information

Simultaneous collaboration and analysis

Rapidly remediate and prevent operational disruptions across people, processes, and assets

Animated user interface of a collaborative online whiteboard tool showing toolbar options such as selection, shapes, arrows, text, images, and comments, along with a left panel for stroke colors, background colors, stroke width, style, sloppiness, edges, opacity, and layers. The animation demonstrates drawing a blue curved arrow, highlighting interface layers and share features.
IRIS Workspace from SymphonyAI

Today, analysis is manual and error-prone, as users struggle to access siloed data sources, each available to a limited number of people. IRIS Workspace is a live, collaboration environment that reduces the time-consuming, manual efforts to find information required to analyze process and production deviations, determine the corrective action, and prevent future deviations by building knowledge into the daily workflows of plant managers, data scientists, executives and other industrial knowledge workers.

Empower cross-functional teams to simultaneously engage with time-series, P&IDs (piping and instrument diagrams), documents, drawings, and images in a shared workspace for real-time problem solving using unified and contextualized data from IRIS Foundry, an AI powered, composable industrial dataops platform.

Industrial knowledge workers can add notes and comments, notify other users, draw freehand, and annotate in the workspace with the built-in toolbar. With version tracking, data and user audit, and various other capabilities for governance, analysis can be verified and trusted.

IRIS Workspace seamlessly integrates with IRIS copilot, introducing powerful generative and predictive AI into the collaboration workspace to provide search, summarization, insights, pattern recognition, and recommendations.

Simplify how industrial users engage and generate insights with industrial data

IRIS Workspace, built into IRIS Foundry, seamlessly delivers contextualized industrial information to all users.

Unified analysis
Simultaneous collaboration
No-code environment
AI-powered insights
Comprehensive governance

Eliminate offline, siloed spreadsheet analysis that requires manual updates to analyze processes, production, and equipment. With IRIS Workspace, simultaneously collaborate in a unified environment to further investigate and validate operational changes.

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With this connected and live environment, industrial knowledge workers can engage with time series, P&IDs (piping and instrument diagrams), documents, drawings, and images in a shared workspace for real-time problem-solving using unified and contextualized data from IRIS Foundry.

Interactive digital workspace showing a complex flowchart diagram with interconnected components, data panels displaying plant revenue, fuel price, fuel cost, operating costs, other costs, plant profit, and emissions statistics, along with controls for stroke, background, opacity, layers, and a comments section on the right side.

All industrial knowledge workers can interact within a shared workspace at the same time. Adding notes and comments, notifying users, drawing freehand, or using the built-in annotation toolbar to quickly add context and subject matter expertise to any analysis.

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Plant managers can use IRIS Workspace to create highly interactive and live ‘shift-change dashboards’ to share with operators for continuous iterations on risk and resource management. Process analysts can create deviation reports and digitally tag the data sources, assets, and preventive actions for historical and genealogy purposes.

Animated GIF showing a user interface where two avatars named Elena and Wendell simultaneously draw colorful lines and shapes on a shared digital canvas, demonstrating live multi-user collaboration.

No upskilling is required to adopt. Populate the workspace with industrial information in an infinitely scalable workspace from purpose-built applications, the industrial knowledge graph, or local files to analyze all information in a single environment.

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Use the annotation tool bar to add shapes and industrial symbols, draw freehand to mark-up drawings, and tag and notify users to increase the collaboration. All analysis can be done using the intuitive user interface. No coding is required and components are drag and drop.

Digital interface showing an engineering diagram editor with toolbar on top, stroke and background color options on the left, a health score gauge at 65% in the center, data widgets for plant revenue, fuel price, fuel cost, operating costs, and other costs, and a library panel on the right with various industrial equipment icons like actuators, autoclave, conveyors, mixers, and pumps.

Increase the impact of AI for industrial workers. Seamless integration with IRIS copilot introduces a powerful generative and predictive AI entity into the collaborative workspace providing search, summarization, insights, pattern recognition and recommendations.

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Search and create summaries of documents such as operator inspections, oil and vibration analysis, and production reports. Search or generate new images for analysis. With IRIS Copilot built-in, teams can accelerate their analysis with predictive and generative AI.

Animated illustration showing a green dot moving across a yellow path connecting a laptop and a mobile phone, symbolizing AI-powered analysis and data flow.

Track the evolution of each workspace using the navigation bar and follow changes to the workspace over time. Verify new information and view who has made changes. Access controls provide the governance to manage teams and users. For example, a production manager can post live changes to the production schedule and all frontline teams can plan their day knowing they are viewing the current production schedule.

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Validate the quality of data sets and individual data points from the IRIS Foundry industrial DataOps platform to ensure that analysis can be trusted.

Animated screen recording of a digital drawing interface where a clock widget is moved and resized across a blank canvas while stroke color, background, stroke width, style, sloppiness, edges, and opacity settings are adjusted, showing the customization of a clock drawing.
Comparison chart titled 'Why IRIS Workspace?' with two columns: 'With IRIS Workspace' lists benefits like annotating and marking up to analyze in context, real-time charts and KPIs from any source, AI-powered recommendations, live collaboration with colleagues, and infinitely-sized for continuous iterations; 'Without IRIS Workspace' lists drawbacks including information gathering from many systems, stale data from dumps and manual collection, manual analysis for insights, offline analysis in local spreadsheets, and whiteboards lacking space with no retained information.