From thermal and renewable generation to storage and grid — IRIS helps energy teams unify OT/IT data, detect problems early, and protect output, uptime, and margin.

The Challenge

Energy operations struggle with aging critical assets and reliability risk across turbines, compressors, rotating equipment, and transmission gear — where unplanned failures hit capacity factor, grid reliability, and margin. Siloed OT/IT across sites (SCADA, historians, high-frequency sensors, asset management systems) slows anomaly detection, troubleshooting, and decision-making. And renewable intermittency and storage degradation — shifting solar and wind output and gradual capacity loss — complicate planning, dispatch, and forecasting across fleets.

Our Solution

IRIS turns energy and grid data into action:

• IRIS Foundry unifies SCADA, historian, sensor, and asset management data into one contextualized foundation across generation, storage, and grid — so every use case has something reliable to run on.
• IRIS Forge builds new AI apps and dashboards from a plain-language description, with governed deployment and work-order support — no custom development project required.
• IRIS Flows delivers agentic execution for fast-moving situations — curtailment response, storage dispatch optimization, and alarm handling — with human-in-the-loop control.

Outcomes at a glance

• Avoided outages: compressor surge flagged 45 days early, avoiding a $2M failure
• Ready to deploy: IRIS Foundry and Flows include 300+ prebuilt industrial agents
• Efficiency: heat exchanger tuning cut energy use 7%, with models tuned to actual generation conditions

Time to value: first production value in 12 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