Trusted by the world's leading aviation & rail operators
Flo.w gives aviation and rail operations leaders real-time situational awareness, AI anomaly detection, and decision support, so every delay is predicted before it costs you.
Trusted by the world's leading aviation & rail operators
Every minute of airside delay costs ~£100. Flo.w doesn't just show you what's happening: it tells you what to do about it, and what it will cost you if you don't.
Flo.w is built on three interlocking capabilities, giving your ops team a complete, intelligent picture and the tools to act decisively.
Live airside maps, indoor landside mapping, and schematic process views for baggage and passenger flow: everything visible, in one place, in real time.
Explore featuresMachine learning flags deviations before they escalate. Ground holds, stand conflicts, EU261 thresholds, FDP breaches: all predicted in real time, not reported after the fact.
Explore featuresAI-ranked action recommendations with quantified risk and cost. A natural language interface lets you ask your operational data anything, in plain English.
Explore featuresFlo.w's AI layer transforms raw operational data into ranked decisions, giving your team the right answer before the problem becomes a delay.
Statistical models flag deviations from expected behaviour the moment they occur: stand dwell, taxiway speed, hold patterns, push-back timing.
Know about the ground hold, EU261 threshold, or FDP breach before the clock starts. Flo.w predicts. It doesn't just report.
Ranked action options with quantified risk, cost, and time impact, so controllers can act with confidence, not instinct.
Ask your operational data anything. "Why is stand 54 delayed?" "Show me all ground holds over 10 minutes this morning." Instant answers.
Navigate to any point in time. Replay the operation exactly as it happened, for post-incident review, training, or root-cause analysis.
Emu Analytics' software allows us to reduce any inconveniences to our customers and ensure our teams have the right information at the right time to make critical decisions.
The platform gives our control room a single coherent operational picture. The ability to go back in time and replay an incident has transformed how we handle post-event reviews.
We see delays forming in real time, and now we can act on them before they cascade. The AI recommendations have become a core part of how our controllers make decisions under pressure.
Flo.w is deployed across aviation and rail operations: the same powerful platform, tailored to each domain.
Live positions of every aircraft, vehicle, and asset on airport surface.
Baggage flow, passenger flow, terminal occupancy: visualised in real time.
Holding patterns detected, timed and linked to arriving flights automatically.
Real-time OTP KPIs with RAG status vs. admin-set targets.
Proactive alerts before compensation thresholds are crossed, not after.
Real-time positions across the network, surface and underground.
Identify delay cascades before they propagate across the network.
Live occupancy and dwell time at every platform.
Automated alerts for dwell exceedances, non-starts, and diversions.
Real-time and historical PPM with drill-down to service and route level.
Everyone is talking about AI in rail. But the conversation skips straight to what AI can do, without looking at what needs to be in place first.
Despite ongoing geopolitical uncertainty, rising costs, and operational pressure, airlines cannot afford to slow down investment in digital transformation.
You might be surprised to hear that a train can arrive on time and still be part of a poorly performing railway. How can that be?
See how Flo.w gives your operations team the real-time intelligence and AI decision support they need, before the delay happens, not after.