Predictive maintenance (PdM): stop costly downtime early

Detect, diagnose, and act on AI recommendations with Predictive Asset Intelligence, powered by IRIS Foundry.

The challenge

Reactive maintenance and siloed data let failures surface late. SCADA, historian, and CMMS data stay disconnected, hiding early warnings. Time-based schedules and manual rounds miss the first signs of failure. And every surprise stoppage cuts throughput, safety margins, and asset life.

Our solution

Predictive maintenance flags risk early and guides teams to act. Layered predictive AI runs on one governed data foundation, so your team detects, diagnoses, and acts before failures happen.

• Unified asset data: IRIS Foundry unifies plant data into one governed, contextualized model.
• Early warning detection: Multi-modal AI flags anomalies days ahead across vibration and process data.
• Proactive, guided action: Root-cause advisories tell teams what to fix and when, extending uptime.

Outcomes that matter

• 20–50% less unplanned downtime
• 10–30% output gain
• 1–5% yield gain
• 12 weeks to first value

Platform components

• IRIS Foundry: Unifies SCADA, historian, and CMMS data into one governed, contextualized asset model with prebuilt templates and connectors, so models run on live, trusted data.
• Predictive AI engines: Multi-modal anomaly detection, machine reasoning root-cause engines, a prescriptive failure mode and effects analysis (FMEA) library, and asset health scores flag risks early and recommend fixes.
• ML Studio and Industrial Copilot: Build, deploy, and retune predictive models without code, and ask plain-language questions to get instant answers, forecasts, and reports from plant data.

How it works

1. Detect: Multi-modal AI watches vibration, process, and equipment data in real time, flagging anomalies days before failure.
2. Diagnose: Machine reasoning engines map anomalies to failure modes and pinpoint root causes in minutes instead of days.
3. Act: Prioritized advisories and IRIS Flows agents tell teams what to fix and when, and route the work into your CMMS.

Why SymphonyAI for industrial

• Proven scale: 3PB of industrial automation data processed per year 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.