Modern systems emit millions of events per second—from IoT sensors, financial ticks, clickstreams, and telemetry. Manual dashboards and batch analytics miss critical moments and drive up MTTR.
Anomalies detected after customers notice
Rule‑based alerts drown teams with false positives
Schema drift breaks pipelines and causes blind spots
Streaming costs spike without intelligent sampling
Detect vibration spikes and temperature drift; auto‑open maintenance work orders.
Stream card transactions, score risk with graph agents, and block suspicious activity in <100 ms.
Analyze player events to balance gameplay and trigger in‑game offers on the fly.
Serve next‑best content and promos after the first few user actions, not tomorrow's batch.
Agents merge GPS, ELD, and weather streams; reroute trucks before delays happen.
Consume equities & crypto ticks, detect micro‑structure anomalies, and alert traders instantly.
Our agent orchestration flow processes streaming data in real-time, from ingestion to action, ensuring your systems respond to critical events in seconds, not minutes.
Kafka, Kinesis, or Databricks LakeFlow funnels events into Delta Live Tables with schema evolution.
Supervisor orchestrates anomaly, forecast, and summarization agents; merges findings with lineage.
Agents push alerts to Slack/SNOW, write aggregates to BI, and retrain models from outcomes.
Book a consultation to see how PipeIQ turns raw event streams into actionable insights—before dashboards even refresh.