Scale industrial data management with AI

SymphonyAI has been recognized as a leader in the Verdantix Green Quadrant for Industrial Data Management Solutions 2025 for its innovative approach and rapid momentum. SymphonyAI’s IRIS Foundry offers industrial enterprises AI-powered tools to unify and manage industrial data along with capabilities to deliver actionable insights with this data through a generative AI copilot, industrial LLM, and machine learning studio.

“SymphonyAI’s rapid ascent as a leader in the IDM market stems from its aggressive innovation process and growth strategy, targeting the most complex data environments,” says Joe Lamming, Senior Analyst at Verdantix. “Their IRIS Foundry suite provides the tools for organizations to build an industrial-focused DataOps ontology at scale – alongside a rich assortment of AI-focused analytics and observability tools.”

Why Organizations Choose SymphonyAI. A Leader in Industrial Data Management 

Pioneers of Rapid Innovation 

Although newer to the IDM market, SymphonyAI stands out through swift innovation and the ability to effectively address the complex challenges of industrial data management. The launch of IRIS Foundry in April 2024 underscores SymphonyAI’s capacity to deliver enterprise-scale data unification required for industrial AI use cases that optimize processes and energy, reduce unplanned downtime, and increase plant reliability.

A Data-First Approach with IRIS Foundry

The motivation behind IRIS Foundry is to deliver AI-driven insights through a data-first approach, elevating traditional application or use-case-driven methods. IRIS Foundry creates a unified, scalable, and reusable data framework to achieve predictive and generative AI use cases that optimize processes, increase production uptime, and enhance connected worker decision-making. This strategic approach addresses the data problem at the enterprise level, ensuring that data solutions are comprehensive, composable, and scalable.

 IRIS Foundry offers a Unified Data Model (UDM) that tackles the age-old problem of harvesting data from diverse source systems and extracting value. By collecting, modeling, and unifying all industrial data, IRIS Foundry unleashes its potential through Knowledge Graphs and application data models. The knowledge graph within IRIS Foundry dynamically maps the physical and semantic relationships of assets and integrates key performance indicators (KPIs) that sites and businesses use to measure and improve performance. This interconnected model provides a comprehensive view of operations, revealing how each component affects and relates to the broader system.

Beyond simply displaying relationships, the knowledge graph leverages AI to perform impact analysis, identifying the causes of deviations from expected KPIs. Users can seamlessly pinpoint related assets and processes, offering actionable recommendations to address these deviations. By correlating data from disparate sources and applying sophisticated AI-driven analyses, the knowledge graph empowers users to understand the intricacies of their operations and make informed, strategic decisions. Ultimately, the integration of AI with the knowledge graph serves to transform traditional manufacturing operations. This holistic approach ensures faster access to high-quality data for analytics, data modeling, and AI applications, supporting continuous improvement, driving innovation, and enabling enterprises to adapt swiftly to changing conditions and demands. 

Key Differentiators of IRIS Foundry for Industrial Data Management 

Open, Configurable & Extensible Platform 

• Deploy only what you need anywhere—edge, hybrid, or cloud. 

• Unify your data and establish your single source of truth. 

• Container and API-driven architecture ensures ultimate flexibility, compliance, and open architecture with Private Cloud or SaaS. 

Integrated Domain Knowledge 

• Pre-built asset, process, and KPI templates for Unified Namespace. 

• Physics and thermodynamics engines enhance model accuracy. 

• Pre-built FMEAs describe issues and generate recommendations. 

• Connect and transform your industrial data from edge to cloud. 

Powerful & Proven AI with a Streamlined ML Studio 

• Curated and proprietary AI engines tailored for industry use cases. 

• Industrial LLM and Industrial Copilot unlock Generative AI. 

• Deploy and scale pre-built AI models and apps through ML Studio. 

• Bring your own Notebooks for flexibility and customization. 

Composable Industry 4.0 Solution Suite 

• Address challenges around assets, processes, and people in a modular platform. 

• Tried and tested purpose-built applications for targeted use cases such as predictive maintenance, process optimization, energy optimization, and connected worker to accelerate ROI. 

• Adopt new modules and applications at the right pace for each unique facility. 

These features reduce the time to deployment and increase the impact of industrial data management, providing SymphonyAI with a significant edge in the industrial data management space. 

Engage with Generative AI Copilots 

The IRIS AI Copilot, powered by advanced AI Agents, provides a comprehensive overview of operations through an intuitive, natural language interface. These AI Agents assist users in engaging with in-depth insights generated by predictive models and the knowledge graph. Acting as an intelligent intermediary, the role-based copilot enables operators to swiftly understand alerts, navigate asset hierarchies, and forecast future performance. With skills like running forecasts, recommending corrective actions, and conducting performance analysis, the AI Copilot empowers users to make informed, data-driven decisions efficiently. 

Conclusion 

Transforming underutilized data into scalable industrial AI insights is not just an aspiration—it’s achievable with SymphonyAI. Through robust data connectivity, dynamic asset hierarchies, and predictive AI models, SymphonyAI delivers tangible improvements in asset performance and process optimization across manufacturing, oil & gas, mining, and energy sectors.