Industrial
.svg)
Industrial operations generate more decisions per minute than any team can handle manually. IRIS Flows puts autonomous AI agents to work in your processes—analyzing events, coordinating responses, and executing actions across assets, teams, and facilities in real time. Built on SymphonyAI’s Industrial LLM with 300+ pre-built agents and three modes of governed autonomy, it’s the only agentic AI platform engineered for the complexity of industrial operations.
Pre-built industrial agents. Ready to deploy across manufacturing, energy, and process operations—no build time required.
Reduction in unplanned downtime. Measured outcome across IRIS Flows deployments in smart factory environments.
Rule-based systems handle predictable scenarios. Industrial operations aren’t predictable. Equipment behaves differently under different conditions, shifts, and loads—and the interactions between assets, processes, and teams create complexity that static rules can’t navigate. IRIS Flows agents reason from context, not rules. They understand what’s happening, evaluate options, coordinate with other agents and with people, and take action—adapting as conditions change.
Explore IRIS FoundryIRIS Flows meets your operations where they are—and scales autonomy at your pace, with full governance at every step
Agents surface insights, flag anomalies, and recommend actions. Your team reviews and approves every decision. Full visibility, zero autonomy risk. Start here.
Agents execute defined task classes autonomously—escalating edge cases to human experts. Speed increases. Risk stays managed. Expand agent scope as confidence builds.
Agents sense, decide, and act across full process loops—continuously optimizing without manual triggers. Human oversight is available but not required for routine operations.
From a single agent to an enterprise-wide multi-agent network—in four steps
Choose from 300+ pre-built agents or design custom agents visually or with natural language—no code required. Agents understand your domain from day one, built on the Industrial LLM.
Agents plug directly into IRIS Foundry’s unified data layer—accessing real-time sensor data, historian records, maintenance logs, work orders, and enterprise systems simultaneously.
Multi-agent workflows form dynamically. When a KPI deviation fires, a root cause agent investigates, a scenario agent models outcomes, and a coordination agent routes the right action to the right person or system.
Multi-agent workflows form dynamically. When a KPI deviation fires, a root cause agent investigates, a scenario agent models outcomes, and a coordination agent routes the right action to the right person or system.
Pre-built agents are production-ready across the highest-impact use cases in industrial operations
Alarm management and RCA
Intelligent alarm responders triage alerts in real time—filtering noise, identifying root causes, and routing actions to the right operator or system before issues escalate.
Predictive maintenance
Maintenance coordinator agents connect asset health scores from Predictive Asset Intelligence to work order systems—automatically scheduling interventions based on failure probability and operational priority.
Shift intelligence
Shift handover agents capture and contextualize operational events, KPI deviations, and open actions—so every shift starts with a complete, accurate picture of plant status.
Process optimization
Optimization planner agents continuously analyze process conditions, model alternative setpoints, and recommend or execute adjustments to maximize yield, throughput, or energy efficiency.
Safety and compliance
Agents monitor safety-critical conditions, trigger permit-to-work workflows, and coordinate inspection and compliance actions across connected worker systems—maintaining audit trails automatically.
Custom agent creation
Build domain-specific agents using a visual designer or natural language. Agents inherit the Industrial LLM’s contextual understanding of your assets, processes, and data—no training data preparation required.
IRIS Flows agents aren’t running on generic AI. Every agent is powered by SymphonyAI’s Industrial LLM—trained on 7+ trillion industrial data points including sensor readings, maintenance records, work orders, and engineering documentation. Agents understand the language, failure modes, and operational logic of your industry before they ever connect to your plant.
Because IRIS Flows sits on IRIS Foundry, agents have access to a fully unified, contextualized data foundation—not isolated data streams. The result is agents that reason with complete situational awareness: real-time OT data, historical trends, asset hierarchies, P&IDs, and enterprise system context, all in one coherent intelligence layer.
Generic AI agent platforms require extensive setup, custom training, and months of integration work before they understand your operation. IRIS Flows arrives pre-trained on industrial data—with an agent library, domain-specific ontologies, and a data foundation already built. Your team deploys agents in days, not quarters.
Building your own agentic AI in-house means owning the training data, the integration work, the governance framework, and the ongoing model maintenance—indefinitely. IRIS Flows delivers pre-built depth, governed autonomy controls, and continuous model improvements maintained by SymphonyAI’s industrial AI team.
What industrial teams ask before deploying IRIS Flows
Yes. IRIS Foundry is the data foundation that IRIS Flows agents operate on—it provides the unified, contextualized data layer that gives agents situational awareness across your operation. If you’re not on IRIS Foundry yet, that’s where we start.
Most customers activate their first pre-built agent within days of connecting IRIS Foundry to their data sources. Custom agent design using natural language or the visual builder typically adds days, not weeks. Complex multi-agent workflows are deployed iteratively, starting with the highest-impact use case.
Every agent operates in one of three modes: Assistive (recommends, humans decide), Augmented (acts on defined task classes, escalates edge cases), or Autonomous (full execution loop, human oversight available). Autonomy mode is set per agent, per workflow—and can be adjusted at any time from the central governance console.
Yes. Agents access data through IRIS Foundry’s 100+ pre-built connectors—covering historians, DCS, SCADA, ERP, CMMS, and IoT sources. They can also write back to connected systems: triggering work orders in SAP, updating CMMS records, or sending alerts through Microsoft Teams via MCP integration.
A copilot surfaces information and suggests actions. IRIS Flows agents execute actions—autonomously if configured to do so, or with human approval at defined checkpoints. Multi-agent orchestration means they also coordinate with each other: one agent’s output becomes another’s input, forming end-to-end process automation, not just point-in-time recommendations.
One unified data foundation, one way to build new AI applications, and one layer of agentic execution, built to work together across your plant.
The industrial DataOps platform that unifies DCS, LIMS, historians, MES, and ERP data into one governed, AI-ready foundation.
Talk to an industrial AI expert and see how IRIS Flows performs in your specific environment.
.svg)
