AI Decision Support
Predicts conflicts, suggests
clearances, and helps controllers
act faster and safer.
AI-Powered
Air Traffic Controlfor a Smarter, Safer Future
Our AI ATC system combines real-time data, advanced AI,
and human expertise to manage manned and unmanned traffic —
from traditional aircraft to next-generation BVLOS drones.
Live Traffic
- Manned Aircraft12
- Drones (BVLOS)5
- Ground2
- Alerts0
Active Communications
- ATC → AAL732Cleared for approach runway 27
- AAL732 → ATCWilco, runway 27, AAL732.
- ATC → UAV-042Maintain 3000 ft. Traffic 12 o'clock.
- UAV-042 → ATCCopy. Maintaining 3000 ft.
- ATC → RJ203Turn left heading 280.
- RJ203 → ATCLeft 280, RJ203.
WeatherCAVOK 18°C
Wind270° 12 kt
AirspaceClass C / D
Built for today.
Ready for tomorrow.
From real-time surveillance to intelligent decision support,
our platform enhances safety, efficiency, and capacity
— on the ground and in the sky.
Multi-Domain Traffic
Handles both manned aircraft
and BVLOS drones in the
same airspace.
Safety First
Built with aviation standards,
redundancy, and real-time
risk monitoring.
Scalable & Flexible
From regional airports to
national airspace and
future air mobility.
REAL-WORLD IMPACT
Use Cases
Airports & ANSPsImprove capacity and flow.
BVLOS Drone OperationsEnable safe, scalable delivery and inspection.
Advanced Air MobilitySupport eVTOL and next-gen aircraft.
National AirspaceSmarter, more connected skies.
Developed in Jordan
About AI ATC
Built in Jordan. Built around the controller.
AI ATC is an air traffic control decision-support platform developed in Jordan. It combines real-time data and advanced AI with human expertise, so controllers can manage manned aircraft and BVLOS drones in one picture, with clarity and confidence.
Our mission: to help air navigation service providers handle more traffic, and more kinds of traffic, without compromising safety.
Human in the loopThe platform suggests. The controller issues every clearance.
Explainable by designEach suggestion shows the traffic, the data and the reasoning behind it.
Designed to degrade gracefullyIf the AI or a data feed drops out, controllers carry on with their existing systems and procedures.
Capabilities
One working position. One clear picture.
Each capability supports the controller's judgment. None of them replaces it.
Conflict Prediction
Flags potential losses of separation early, using projected trajectories as well as current positions.
- Trajectory prediction for aircraft and drones
- Conflicts ranked by time to closest point of approach
- Designed to complement existing MTCD and STCA
Clearance Suggestions
Proposes resolution options that the controller can accept, amend or ignore.
- Heading, level and speed resolution options
- The reasoning shown with every option
- Nothing reaches a pilot unless the controller issues it
Unified Traffic Picture
Shows manned aircraft and BVLOS drones together in one fused air picture.
- Cooperative targets from ADS-B, Mode S and Remote ID
- Non-cooperative targets from primary radar and drone detection sensors, where available
- Distinct symbols for aircraft, drones and ground vehicles
Controller–Pilot Communications
Keeps live exchanges between controllers and pilots structured and traceable.
- Active exchanges listed per aircraft
- Possible read-back errors flagged against the issued clearance
- A transcript kept for later review
Weather & Airspace Awareness
Keeps weather, airspace structure and active restrictions in view for every decision.
- METAR and TAF decoded at a glance
- Airspace classes, restricted areas and NOTAMs overlaid
- Wind factored into trajectory prediction and runway checks
Alerts & Risk Monitoring
Monitors the whole picture continuously and raises what needs attention, in order of priority.
- Conformance monitoring against clearances, flight plans and drone authorizations
- Alerts for geo-zone and airspace infringements
- Graded alert levels to reduce nuisance alerts
Surface & Runway Awareness
Tracks ground movements and runway occupancy to support safe sequencing.
- Real-time runway occupancy and clearance status
- Ground traffic shown alongside airborne traffic
- Designed to complement A-SMGCS
Replay & Analytics
Records every suggestion and every decision, so any session can be replayed and reviewed.
- An audit log of suggestions, actions and outcomes
- Traffic, radio and alerts replayed on one timeline
- Insights for training, safety review and capacity planning
How it works
From raw data to a clear decision.
Five steps turn many data sources into one picture and a set of options. The controller has the final say.
01SenseTakes in surveillance, drone, flight plan and weather data in real time.
02FuseCorrelates every source into one consistent track per aircraft or drone.
03PredictProjects trajectories forward and flags potential conflicts early.
04AdviseProposes resolution options, each with the reasoning behind it.
05Controller decidesAccepts, amends or rejects each option, and issues any clearance.
Every step is logged, so each suggestion and each decision can be traced and replayed.
Designed around
Established aviation data sources, standards and guidance. Listing them does not imply certification or compliance.
Surveillance
- ADS-B (1090ES)
- Mode S SSR
- Primary radar (PSR)
- Multilateration (MLAT)
- ASTERIX
Unmanned traffic
- Remote ID (ASTM F3411)
- U-space · Regulation (EU) 2021/664
- UTM and U-space service interfaces
Flight & aeronautical
- ICAO flight plans (FPL)
- SWIM (FIXM, AIXM)
- NOTAMs
Weather
- METAR
- TAF
- IWXXM
Communications
- VHF voice
- CPDLC
AI governance
- EASA AI Roadmap · Level 1 AI, assistance to the human
The interfaces listed are design targets. Integration is scoped with each ANSP.
Human in the loop, by design.
AI ATC is a decision-support tool, not a decision maker. It detects, predicts and proposes, and the controller issues every clearance. If the AI or a data feed becomes unavailable, the platform is designed to degrade gracefully, and controllers continue with their existing systems.
Use cases in depth
One platform for every kind of airspace user.
Airports & ANSPs
Traffic keeps growing, and every extra movement adds to controller workload.
How AI ATC helps
Outcome: Helps deliver smoother flow and more capacity from the same airspace, with controllers firmly in command.
FAQ
Straight answers.
Does AI ATC replace air traffic controllers?
No. AI ATC is a decision-support tool. It detects, predicts and suggests, and qualified controllers stay in command and issue every clearance.
What traffic does it handle?
Manned aircraft, BVLOS drones and ground movements, shown together in one air picture. It is designed to extend to eVTOL and other advanced air mobility aircraft.
Which data does it use?
It is designed around established aviation sources: ADS-B, Mode S and primary radar for surveillance, Remote ID and U-space services for drones, flight plans and NOTAMs, and METAR and TAF for weather. The exact integration is scoped with each ANSP.
How does it handle safety and failures?
Every suggestion is advisory, explained and logged, and existing safety nets such as STCA stay in place. If the AI or a data feed becomes unavailable, the platform is designed to degrade gracefully, and controllers continue with their existing systems and procedures.
Where is it developed, and is it certified?
AI ATC is developed in Jordan and is still in development. It is not certified or approved for operational use. It is designed with EASA's guidance for Level 1 AI (assistance to the human) in mind. Any operational use would need approval from the relevant authority, which in Jordan is the Civil Aviation Regulatory Commission (CARC).
How can we see a demo or start a trial?
Get in touch using the form below. We start with a walkthrough on simulated traffic. Any trial is then shaped around your airspace, data and procedures, and runs in shadow mode, with no input to live operations.
Contact
Let's talk about your airspace.
Request a demo, discuss a trial, or ask us anything about AI ATC.
Developed in JordanServing airports and airspace in the region and beyond.
Demos on simulated trafficAny trial runs in shadow mode, with no input to live operations.
Smarter skies start with a conversation.
See how AI ATC supports controllers on simulated traffic, away from live operations.