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Real-Time Analytics for Customer-Facing Applications Whitepaper

Analytics is no longer just a tool for internal decision-makers.

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Customer story

How Coinbase cut dashboard load time from 8s to 80ms

Real numbers from a production deployment at scale.

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Industry / Manufacturing

Maintenance agents that
see failure coming.

Unplanned downtime costs manufacturers an average of $260,000 per hour. PhoenixAI gives your AI agents sub-second access to live sensor streams — so they identify anomalies, flag degradation patterns, and trigger action before machines fail.

<1s

Sensor event to queryable

IoT stream ingestion

100s

of sensor streams unified

Temperature, pressure, vibration

24/7

Continuous machine monitoring

No batch refresh

The problem

Real-time data gaps have real consequences.

Without real-time data

Reactive maintenance, not predictive

Sensor data buffered and batch-loaded — anomalies spotted hours too late
Production monitoring dashboards refresh every 15 minutes, not continuously
Machine failures caught only when production stops, not as they develop
Data engineers spend weeks building pipelines just to get sensor data queryable

With PhoenixAI

AI agents that act before failures happen

Sensor streams ingested and queryable within one second of arrival
Maintenance agents correlate temperature, pressure, and vibration in real time
Production agents surface line anomalies the moment they exceed thresholds
Standard SQL on live sensor data — no specialist pipeline engineering required

Use cases

Where PhoenixAI makes the difference.

Predictive maintenance

AI agents monitor temperature, pressure, and vibration streams continuously. They identify degradation signatures before failure — cutting unplanned downtime and emergency repair costs.

Agentic AI

Production line monitoring

Query live throughput, defect rates, and cycle times across every station in real time. Agents flag anomalies and surface root causes before they cascade downstream.

Agentic AI

OEE and quality analytics

Overall Equipment Effectiveness calculated on live production data, not yesterday’s batch. Shift supervisors and agents work from the same current picture.

Real-time

Works with your manufacturing data stack

Standard SQL. No proprietary query language.

Apache KafkaApache FlinkApache IcebergGrafanaTableau

Stop the next unplanned outage before it starts.

Meet with our solutions team for a live product walkthrough.