Industrial AI for smarter operations

Optimize operations and maximize uptime and production rates with performance metrics, optimized reporting, monitoring and alerts, and seamless collaborations.

• DataOps and MLOps
• Industrial Copilots with generative and predictive AI
• Predict and detect issues and generate warnings at the early stages of mechanical or performance problems
• Pre-built asset model libraries
• No-code asset management

The advanced Industrial LLM has been extensively trained using real historical data and domain expertise, enabling it to offer expert-level insights and reasoning.

• Trained on unique datasets encompassing events, sensor data, asset info, component types and classes, workorders, reliability, maintenance, and performance insights
• Can operate independently through an API or accessed through chatbot or role-based copilots
• Seamless integration with real-time data sources using a knowledge graph

Empower users of all levels to remain informed about plant operations through real-time AI-driven KPI monitoring, insight, and awareness with a collaborative, tailored, and feature-rich user portal.

• Real-time monitoring
• Full traceability
• Insight generation
• Predictive and generative AI-powered Industrial Copilot
• Intelligent collaboration

Enhance operational efficiency and product quality with deep learning algorithms that analyze and interpret visual data from cameras and sensors, enabling machines to make informed decisions.

• Real-time quality control and inspection
• Precision counting, measurement, and verification
• Trend analysis and predictive prevention
• Dynamic inventory management

Within just 8 weeks, SymphonyAI’s suite of standard, scalable, and composable apps tackles core industrial challenges, unlocking immediate value from enterprise data.

Reuse data and models to quickly create new applications on the IRIS Foundry Platform – a standardized, scalable data management tool that enables faster access to contextualized industrial data across multiple sites throughout an enterprise for business applications and use cases.

Deploy enterprise-specific data and use cases faster with industrial-specific libraries of asset templates, definitions, and failure modes. And with this standardized and contextualized data, a comprehensive KPI library instantly creates previously unattainable data insights.

The complete process is powered by orchestrated enterprise data and pre-built industrial data connectors in a unified namespace.

Enhance and add value to data operations through innovative features and tools. SymphonyAI’s role-based AI copilots provide an intuitive way to explore data insights and metrics previously undiscoverable with traditional data systems and user interfaces.

Other tools and features like P&ID ingestion, data contextualization, and predictive modeling add layers of built-in intelligent logic for smarter data input, processing, and decision-making.

Future predictions from enterprise data are unlocked, such as growth rates, potential maintenance or downtimes, staffing, and other business outlooks.

Work with your existing partners and easily achieve seamless deployments that integrate with your existing ecosystem, including all data sources available on-premises, through private cloud services, or hosted SaaS.

Developed on Microsoft Azure, IRIS Foundry enhances SymphonyAI’s partnership with Microsoft by merging IT and OT data on an enterprise scale through Microsoft Fabric and employs Azure OpenAI Service to empower manufacturers with role-based copilots for rapid identification and resolution of operational challenges.