Trusted by the world's leading aviation & rail operators
Flo.w is the AI-powered orchestration software that surfaces what matters, predicts what's coming, and gives transport operations leaders the data-driven decision support to get ahead of disruption, before it costs time, money, or passengers.
Trusted by the world's leading aviation & rail operators
Operational disruption costs every transport business in delays, revenue, and reputation. Flo.w gives aviation, rail, and transport leaders the AI intelligence to get ahead of it, and the validated returns to prove it stacks up commercially.
Converts fragmented live data into coordinated action.
Flo.w is built on four interlocking capabilities, giving your ops team a complete, intelligent picture and the tools to act decisively, learn, and improve.
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 featuresReplay operations, investigate root causes, and learn from every disruption. Each event analysed, each lesson applied: operators measure outcomes and keep refining performance, disruption after disruption.
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.
Software to connect, predict, and coordinate people, systems and workflows for the best operational response.
Unify aircraft, crew, and ground-event data. Orchestrate the entire turnaround process to ensure network punctuality.
Use predictive intelligence to identify flights at risk of regulatory or operational penalties, allowing teams to act before costs escalate.
Provide OCC controllers with recommended recovery actions based on operational cost, passenger impact, and crew availability.
Align flight operations, engineering, and airport station teams during disruption with a common operating picture.
Query your operation using natural language, replay incidents for root-cause analysis, and continuously improve performance.
Orchestrate aircraft, passenger, baggage, and vehicle data into one live operational view. Ensure terminal and airside teams are working from the same picture.
Move beyond simple mapping. Monitor the movement of assets, people, and baggage across the entire airport footprint in real time.
Use AI to identify emerging risks, from baggage system congestion to stand conflicts, before they impact the operation.
Turn live data into ranked recommendations. Help airport control teams evaluate response options based on operational impact and resource availability.
Keep airport operators, airlines, and ground handlers aligned during disruption through a shared orchestration layer.
Bring trains, stations, assets, and passenger movement into one orchestration layer.
Identify where minor delays will escalate into network-wide disruption using AI-driven predictive modelling.
Support controllers with recovery options that minimise passenger impact and reduce operational costs.
Keep network control, fleet, and station teams synchronised during incidents.
Monitor punctuality, dwell time, and asset health in real time to improve long-term network resilience.
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 insights provided by the Flo.w platform are helping us to run our business more efficiently and, most importantly, improve results for our customers.
Flo.w enables the identification of recurring delay patterns, allowing teams to focus on systemic issues rather than isolated, one-off events. This supports a shift from reactive delay management to proactive performance improvement.
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.