From batch to continuous processing — IRIS helps chemical teams unify OT/IT data, detect issues early, and turn insights into safe, compliant action.

The Challenge

Chemical operations struggle with corrosion and asset integrity risk across reactors, heat exchangers, compressors, and rotating equipment — where failures create major safety, environmental, and production impact. Siloed OT/IT data across plants (DCS, historians, LIMS, quality and maintenance systems) slows anomaly detection, troubleshooting, and decision-making. And batch quality and compliance pressure means deviations drive scrap, rework, and emissions, often with uneven expertise across sites.

Our Solution

IRIS turns chemical plant data into action:

• IRIS Foundry unifies DCS/historian, sensor, and LIMS/lab/CMMS data into one contextualized foundation for faster detection and root cause analysis.
• IRIS Forge builds operator and reliability apps and dashboards fast (prompt/no-code), with governed deployment and work-order support.
• IRIS Flows orchestrates AI agents into workflows (detect → diagnose → recommend → route), with human-in-the-loop and auditability.

Outcomes at a glance

• Fewer stoppages: predictive alerts cut unplanned downtime 20-50%
• Higher yield: tighter specifications and batch optimization lift production yield 1-5%
• Productivity: AI-driven asset insights improve productivity 10-30% across chemical plants and distributed teams

Time to value: first unit live in weeks using IRIS Foundry’s prebuilt asset and performance templates.

How it works

1. Connect and contextualize: Bring operational data into one organized view using IRIS Foundry; then automatically build a relationship map of assets and processes so AI understands your operations.
2. Analyze and predict: Apply predictive and prescriptive analytics with industrial models to surface risks, root causes, and next-best actions.
3. Orchestrate and automate: Use IRIS Flows’ AI agent builder to compose and deploy agents, connect them into multi-step workflows with human-in-the-loop, and auto-route tasks and approvals.
4. Engage in the flow of work: Expose insights and actions directly inside your collaboration tool of choice, including Teams and Microsoft 365 via MCP for secure, auditable execution.

Why SymphonyAI for industrial?

• Proven scale: 3PB/year of industrial automation data processed across deployments
• Contextualized AI: Industrial LLM and role-based copilots tuned for manufacturing personas
• Accelerated value: fast onboarding, flexible deployment, and blended models for actionable insights