Industrial data management with IRIS Foundry
SymphonyAI’s Industrial Reasoning and Insights Service (IRIS), an Industrial DataOps platform, unifies data to achieve operational excellence and scale AI manufacturing solutions.
IRIS Foundry—Industrial DataOps platform—forge new AI-powered insights
Access high-value data insights
- Predict events before they occur and automatically analyze the root-cause of issues and events with state-of-the-art deep learning and generative AI engines for Industrial DataOps.
- Remain aware of real-time monitoring and alert notifications for KPIs, along with relevant, context-specific information in a single, intuitive interface for industrial data management.
- Deploy and scale built-in predictive AI models to enrich enterprise data and immediately access useful, high-value data insights.
- Identify trends and enable forecasting with advanced analytics, uncovering hidden patterns to predict future trends in operational and market data.
Learn from data modeling
Integrate data from diverse sources in an Industrial Knowledge Graph. Combine powerful analytical tools through physics, machine learning, and advanced analytics with an Industrial DataOps platform.
Reduce network, maintenance, and industrial data management resources. Eliminate the need for multiple point-to-point data connections, and bypass highly-specialized engineering services and personnel.
View your entire ecosystem with a panoramic view that encompasses processes, equipment, sensors, production lines, products, customers, and employees—all in one Industrial DataOps platform.
Identify and implement predictive relationships within data to build trusted, high-quality analytics and machine learning models.
Interact with contextualized data
Provide universal access to all enterprise data with Unified Namespace. Enable employees of all levels to instantly understand and interact with contextualized information from any industrial network.
Reduce network, maintenance, and industrial data management resources. Eliminate the need for multiple point-to-point data connections, and bypass highly-specialized engineering services and personnel.
Painlessly integrate and standardize data access across various formats. Reduce network complexity to achieve benefits such as improved process efficiency and faster time-to-market.
Enhance predictive analytics and decision-making by enriching data with contextual metadata. Allow for tailored, accurate, and relevant insights for specific operational scenarios.
Organize with data orchestration
- Integrate with OT and IT data sources through pre-built industrial connectors and edge storage platforms.
- Streamline and organize industrial data management with a unified namespace to connect to data clients, transform data into compliant formats, and store data within historians, databases, or data lakes.
- Discover data from all sources and eliminate cache latency and its stale, outdated data.
- Maintain high-level data integrity and security standards while realizing versatility, speed, and user-friendliness with tools such as P&ID ingestion.
Ensure quality with data governance
- Maintain industrial data management standards for processing and consuming data sources to quickly identify, address, and resolve potential production and integrity issues.
- Guarantee consistent, secure, and accurate data sharing across vendors and partners.
- Confirm compliance of data at all stages with stringent regulations and specification to facilitate accurate tracking and reporting.
- Promote accountability and transparency in data handling to empower personnel to treat data as a product.
Inform with data transformation
- Convert raw data into meaningful and interpretable information that provides valuable insights to enable informed decision-making in business strategies and operations.
- Transform data with standardized formats and enriched data that add to the assurance of data integrity across an enterprise.
- Streamline complex processing tasks and routines and boost operational productivity by effectively reducing manual effort and errors associated with data processing.
- Enable dynamic scalability and adaptability in data handling by adjusting in real-time to accommodate new data sources, formats, and analytics requirements.
Microsoft Solutions Partner
IRIS Foundry is Microsoft Manufacturing AI Certified software as an Industrial DataOps platform for unifying and scaling industrial AI use cases
Explore all industrial products
Monitor asset health, prevent unplanned downtime, and optimize performance with Predictive Asset Intelligence. By utilizing real-time data, predictive models, and actionable insights, SymphonyAI enables proactive maintenance of industrial environments.
Monitor asset health, prevent unplanned downtime, and optimize performance with Predictive Asset Intelligence. By utilizing real-time data, predictive models, and actionable insights, SymphonyAI enables proactive maintenance of industrial environments.
Get hands-on with your data and experience industrial AI
Watch IRIS Foundry’s Industrial DevOps video demo
Explore the innovative capabilities of the IRIS Foundry Industrial DataOps platform.
Learn about SymphonyAI’s Industrial DataOps platform
Read Frost & Sullivan’s executive brief on SymphonyAI’s Industrial DataOps platform, IRIS Foundry.
View IRIS platform and Industrial DataOps resources
SymphonyAI is transforming the industrial and manufacturing enterprise through strategic data processing and integration.
IRIS Foundry FAQs
The team at SymphonyAI is here to answer your questions about AI for industrial manufacturing and our solutions. Here are some of the most common.
How can industrial operations harness the power of AI?
Industrial DataOps combines practices, processes, and technologies to unify industrial data from previously siloed sources to deliver scalable, timely, and AI-powered insights and support industrial data management.
| While DevOps focuses on the development and delivery of software, industrial DataOps is focused on operationalizing and unifying data sources by creating a trusted and accessible foundation to build, deploy and scale operational use cases. |
The value of industrial DataOps is realized by the AI-powered insights that utilize unified and trusted industrial data. Industrial DataOps technologies, provide a scalable foundation to increase asset performance with predictive maintenance, optimize processes, generate AI-powered KPIs, enhance connected workers with AI, and increase collaboration and analysis.
The key processes of DataOps include data connectivity, contextualization, modeling, insights, and governance.
SymphonyAI offers an industrial Data Operations platform, IRIS Foundry, with purpose-built industrial applications and AI copilots to deliver operational impact at scale.
Through SymphonyAI’s Industrial Knowledge Graph, the platform contextualizes diverse data sources, providing relevant, actionable insights specific to operational scenarios.
Using Predictive Asset Intelligence, IRIS Foundry helps anticipate equipment issues, reducing downtime and maintenance costs.
Data Orchestration ensures efficient data flow across OT and IT systems by automating data integration, transformation, and storage processes.
Yes, the platform supports Digital Twin creation, providing virtual replicas of assets and processes for enhanced performance monitoring and optimization.
The platform offers numerous industrial connectors, enabling seamless data access and integration from various systems and devices.