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Enterprise Layer Intelligence
Categories/Data Analytics/Emu Analytics
Emu Analytics

Emu Analytics

Founded 2015

Predict and manage transport operational disruptions across aviation and rail networks in real time

You can use Flo.w to track and coordinate real-time operations across aviation and rail networks. It connects your aircraft, train, crew, passenger, and ground handler data into a unified operational view. By identifying emerging delays and bottlenecks before they disrupt schedules, it provides controllers with ranked action options and risk estimates. You can query operational conditions using natural language, coordinate incident recovery across different airport or rail teams, and replay past incidents step by step to find root causes and improve overall network punctuality.

What Emu Analytics does

Calculate delay risks against crew duty limits and regulatory thresholdsAssign arriving aircraft to alternative gates when stands are occupiedReplay historical flight and train movements to review operational bottlenecksQuery live operational data using conversational questionsFlag deviations in push-back timing and stand dwell durationsCoordinate recovery actions across ground handlers, station staff, and controllersStatistical anomaly detection for taxiway speeds, stand dwells, and push-back timingPredictive delay alerts that calculate regulatory penalty risks like EU261 and UK261Ranked decision recommendations with calculated operational costs and time impactsNatural language query interface to inspect ground holds, stands, and aircraft statusesHistorical timeline replay for post-incident root cause analysis and operational trainingLive digital twin mapping movements across airside, terminal, and rail networks

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Flo.w, Emu Analytics, operations management, aviation operations, rail orchestration, flight turnaround, airport ground movement, delay prediction, operational decision support, incident recovery, digital twin, sub-threshold delay, disruption management, network punctuality, natural language query, historical replay