Sector · Transport & mobility
The journey is the product.Everything else is plumbing.
Qeonix builds mobility platforms where modes, operators and infrastructure behave as one network, from journey planning and payment to fleet orchestration, tolling and the EV ecosystem.
Capabilities
Six mobility problems we build for.
Mobility-as-a-Service
Journey planning, booking and payment across modes in one experience: bus, metro, taxi, micro-mobility and parking treated as one network, not five apps.
Fleet orchestration
Telemetry, utilization, condition and predictive maintenance across public and commercial fleets, with dispatch tied to demand.
Intelligent transportation systems
Corridor management, signal optimization and incident response built on live network state rather than last year's counts.
Parking & tolling
Demand-based parking, enforcement workflows and free-flow tolling with reconciliation and an audit trail the operator can defend.
EV ecosystem
Charging network operations, load management against the grid, and the roaming, billing and availability layer drivers actually judge it by.
Logistics mobility
Freight movement, last-mile coordination and curb management, where commercial traffic meets city policy.
In operation
The network, run as one system.
A stadium event, an incident on a corridor, an EV network at load: the platform rebalancing all three while the control room supervises.
Network response · live
- Demand spike forecast · stadium event 18:30forecast
- 6 additional buses staged on corridor 5dispatched
- Journey planner rerouted around incidentauto
- Dynamic parking price applied · zone P-2policy
Reference architecture
One network,five layers.
- Journey planning
- Booking & ticketing
- Unified payment
- Real-time information
- Accessibility
- Multimodal routing
- Demand management
- Disruption handling
- Operator settlement
- Policy rules
- Network state
- Demand forecasting
- Incident detection
- Signal optimization
- Corridor analytics
- Vehicle telemetry
- Predictive maintenance
- Charging infrastructure
- Micro-mobility fleets
- Depot operations
- Operator APIs
- Payment providers
- City command center
- Enforcement systems
- Open data
The loop
Plan, move, adapt, settle, learn.
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01
Plan
One query across every mode, priced and timed honestly.
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02
Move
Ticketing and access that work across operators without friction.
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03
Adapt
Disruption rerouted in minutes, with the traveler told first.
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04
Settle
Revenue apportioned across operators with a defensible audit trail.
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05
Learn
Every journey improves the demand model and the timetable after it.
Principles
What keeps mobility programs honest.
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The traveler is the integration test
If a journey needs three apps and two accounts, the architecture has failed regardless of what the diagram says.
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Operators keep their systems
The platform federates ticketing, telemetry and settlement across operators instead of forcing a migration nobody signed up for.
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Policy needs evidence
Pricing, access and curb decisions are simulated against real network state before they are imposed on it.
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Payments are audited infrastructure
Multi-operator settlement is treated with the same rigor as the tolling gantry, because a dispute will test both.
Coverage
Across the network.
Public transport
- Bus & metro operations
- Real-time passenger info
- Timetable optimization
- On-demand transit
Road network
- Traffic management
- Incident response
- Tolling
- Connected vehicles
Curb & parking
- Smart parking
- Enforcement
- Loading zones
- Dynamic pricing
New mobility
- EV charging networks
- Micro-mobility
- MaaS platforms
- Logistics & last mile
Nobody wants five apps.They want to arrive.
Questions
Connected mobility, answered.
Both ends of the same system. The traveler-facing experience is only as good as the orchestration, settlement and network intelligence behind it, so we build them as one architecture rather than a front end looking for a back end.
Yes, that is the design assumption. Operators keep their fleet, ticketing and depot systems; the platform federates across them through APIs and agreed data contracts, and adds the layers that none of them individually own: the journey, the settlement and the network view.
Where the network state changes faster than a human control room can react: demand forecasting, disruption rerouting, incident detection from camera and sensor feeds, predictive maintenance on fleets and charging assets, and signal optimization on congested corridors.