PHYSICAL AI FOR AVIATION
Give airports a richer sensing and understanding of the physical world.
Distributed high-fidelity multimodal sensing and AI scene intelligence for safer, more efficient and autonomy-ready airport operations.
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AIRPORT ENVIRONMENT · ILLUSTRATIVE IMAGERY
THE MISSING LAYER
Airports track traffic as points and cannot understand the full operating scene.
Existing surveillance and operational systems provide essential information, but the physical environment remains observed in low fidelity and only partially understood. NG-ATM is designed to add a richer perception and scene-intelligence layer.
Sparse perception
Existing airport surveillance systems represent traffic primarily through identity, position and motion — effectively points or tracks — with limited object-level geometry, size, shape and feature information.
Limited prediction
Most existing systems describe where traffic is now. They provide limited understanding of behaviour, muli-object interaction and emerging operational states.
Fragmented context
Operational information remains distributed across surveillance, video, procedures and airport systems rather than combined into a unified physical-world scene.
Together, these limitations constrain object-level understanding of cooperative and non-cooperative objects, their surrounding environment, and the spatiotemporal relationships that define the wider operating scene.
Rich object- and scene-level perception and scene understanding is a foundational enabler for increasingly autonomous airport operations. NG-ATM is designed to provide that missing layer.
FROM SENSING TO INTELLIGENCE
Sense. Understand. Predict. Enable.
NG-ATM transforms distributed high-fidelity multimodal physical-world observations into a richer understanding of the airport environment — and then into operational intelligence.
01
SENSE
Observe aircraft, vehicles, people, infrastructure and hazards across runway, taxiway, apron, stand and low-altitude volumes.
02
UNDERSTAND
Combine objects, identity where available, spatial context, occupancy, behaviour and multi-object interactions into a coherent scene.
03
PREDICT
Assess trajectories, interactions and emerging operational states before safety risk or inefficiency becomes obvious.
04
ENABLE
Support safety, efficiency, resilience and progressively more autonomous aviation operations.
A step-change in sensing and intelligence — from sparse traffic tracks to object- and scene-level understanding.
THE PLATFORM
A Physical AI layer for airport operations.
NG-ATM connects distributed high-fidelity multimodal physical-world sensing with edge processing, scene intelligence and operational applications — creating a coherent intelligence layer across complex airport environments.
01 — DISTRIBUTED PERCEPTION
Observe the operating environment.
Networked sensing builds richer physical-world awareness across runway, taxiway, apron, stand and adjacent operating areas.
02 — EDGE INTELLIGENCE
Process information close to the source.
Distributed processing supports responsive perception, local resilience and efficient movement of relevant information across the system.
03 — SCENE INTELLIGENCE
Build a coherent operating picture.
Object-level perception, spatial context, behaviour, multi-object interactions and prediction are combined into a persistent understanding of the airport scene.
04 — OPERATIONAL APPLICATIONS
Turn intelligence into useful outcomes.
Scene-level intelligence can support safety, efficiency, resilience and progressively higher-assurance aviation applications.
USE CASES
One intelligence layer. Multiple operational outcomes.
NG-ATM converts richer physical-world understanding into applications that support safer, more efficient and increasingly autonomous aviation operations.
SAFETY
Build a richer understanding of occupancy, movement, behaviour and multi-object interactions — and support assessment of emerging situations against operational rules, procedures and safety constraints.
Representative applications
Runway & surface conflict
Wildlife
FOD
UAV
Approach & landing
Explore Safety →
EFFICIENCY
Interpret traffic, occupancy and operational activity across runway, taxiway, apron and stand to support better utilisation and flow.
Representative applications
Taxi flow
Runway utilisation
Turnaround
Apron & stand activity
Congestion & resilience
Explore Operations →
AUTONOMY
Provide the object- and scene-level physical-world understanding required to progressively support more autonomous airport, low-altitude and aircraft-facing operations.
Representative applications:
Ground autonomy
BVLOS
AAM
Aircraft-facing intelligence
Explore Autonomy →
Airport-first. Aviation-scale.
Starting with airport operations, with a pathway toward low-altitude and aircraft-facing intelligence.
CAPABILITIES
From objects to operating-scene intelligence.
NG-ATM builds progressively richer understanding of the physical environment — from object-level perception through scene context, interaction and prediction.
01 — PERCEPTION
Sense and characterise the physical world.
Detect, track, locate and identify aircraft, vehicles, people, infrastructure and hazards with richer object-level information than conventional track-centric surveillance.
02 — TRACKING
Maintain continuity through movement.
Follow multiple objects through space and time while preserving identity and motion context where available.
03 — SPATIAL CONTEXT
Understand where activity is occurring.
Relate objects to runways, taxiways, stands, protected areas, infrastructure and other operationally meaningful zones.
04 — INTERACTION
Understand how objects affect one another.
Interpret movement, behaviour, multi-object interactions and operational context, including assessment against relevant rules, procedures and safety constraints.
05 — PREDICTION
Assess how the scene may evolve.
Evaluate trajectories, interactions and emerging operational states to support earlier understanding of risk and inefficiency.
06 — OPERATIONAL INTELLIGENCE
Turn scene understanding into action.
Produce alerts, analytics and system outputs that can support safety, efficiency, resilience and future autonomy.
Explore Capabilities →
INTEGRATION
Built to work with the airport you already operate.
NG-ATM is designed to augment existing surveillance and operational systems with richer physical-world perception and scene intelligence — without requiring wholesale infrastructure replacement.
EXISTING SYSTEMS
ADS-B
MLAT
SMR / A-SMGCS
CCTV / Digital Tower
Airport Operations
EFB / GSE Systems
A richer operational scene
Object-level perception, spatial context, behaviour, interaction and prediction across the airport environment.
01 — DEPLOY MODULARLY
Start where operational value is clearest.
Introduce sensing and intelligence in defined areas or use cases without requiring an airport-wide programme from day one.
02 — INTEGRATE PROGRESSIVELY
Connect with existing systems and workflows.
Add richer physical-world intelligence while preserving the value of existing surveillance, operational and aircraft-facing infrastructure.
03 — EXPAND WITH CONFIDENCE
Extend coverage and capability as evidence builds.
Scale from focused deployments toward broader operational applications as performance, value and assurance are demonstrated.
Value before certification. Trust before autonomy.
BUILT FOR REAL OPERATIONS
One platform. Different entry points.
Airports vary widely in scale, infrastructure and operational need. NG-ATM is designed to start where value is clearest and expand as requirements grow.
Deploy modularly. Integrate progressively. Expand with confidence.
REGIONAL & SMALLER AIRPORTS
Focused deployment
Start with defined operational areas or priority use cases.
Accessible infrastructure
Introduce richer sensing and intelligence where advanced surveillance may not currently be available.
Expand with operational need
Add coverage and applications progressively rather than through a large upfront programme.
MAJOR HUBS
Complement existing systems
Preserve investment in current surveillance and operational infrastructure.
Target high-value gaps
Add higher-fidelity perception where existing systems provide only limited sensing and partial physical-world understanding.
Scale progressively
Extend intelligence across additional areas and applications as evidence and operational value build.
From focused regional airport deployments to complex major hub environments, NG-ATM is designed to scale with operational need.
BEYOND AVIATION
Built first for aviation. Extensible across other complex physical environments.
The same core architecture — distributed perception, scene understanding, interaction intelligence and prediction — can extend to environments where safety, coordination and autonomy depend on understanding the physical world in real time.
01 — PORTS, LOGISTICS & MOBILITY
Understand complex movement across connected transport environments.
Apply scene intelligence to vehicles, people, equipment and infrastructure across ports, terminals, logistics yards and other high-throughput mobility environments.
02 — INDUSTRIAL & CRITICAL INFRASTRUCTURE
Create a richer operating picture around critical assets.
Combine physical-world sensing with object, activity and interaction intelligence across industrial sites and distributed infrastructure where safety, resilience and uptime matter.
03 — SECURITY & PROTECTED ENVIRONMENTS
Build persistent awareness around sensitive physical environments.
Apply richer perception and scene understanding to perimeter activity, non-cooperative objects, low-altitude threats and complex security situations.
04 — COMPLEX BUILT ENVIRONMENTS
Understand how people, vehicles and assets interact across shared spaces.
Apply persistent physical-world intelligence to changing environments where movement, occupancy, safety and coordination are difficult to understand through conventional monitoring alone.
Different environments. The same core problem: machines need a richer understanding of the physical world.
Aviation remains Fusion Blue’s first focus. These domains represent longer-term architectural optionality, not current commercial deployment claims.
OUR THESIS
Aviation is becoming increasingly autonomous. Its physical-world perception infrastructure has not kept pace.
Fusion Blue is building the intelligence layer that closes this gap — starting with airports, where aircraft, vehicles, people, infrastructure and hazards interact continuously across complex operating environments.
NG-ATM combines richer sensing, scene understanding and prediction to support safer and more efficient operations today, while building the perception foundation for increasingly autonomous aviation.
01 — DOMAIN EXPERTISE
Built from deep sensing and aviation experience.
Fusion Blue combines advanced sensing research with extensive aviation regulatory and operational experience — bringing together technical depth and first-hand understanding of safety-critical aviation environments.
02 — PATENT-BACKED ARCHITECTURE
Defensible from the system level.
Fusion Blue’s foundational architecture is protected through an international patent family covering systems and methods for monitoring and understanding activity in aviation environments.
03 — FIELD VALIDATION
Moving from development into real-world validation.
Airport validation is progressing through a regulator-informed pathway, with an initial focus on perception, traffic intelligence and evidence generation in real operating environments.
Building the Physical AI infrastructure for the next era of aviation.
Value before certification. Trust before autonomy.
CONTACT
Build a more intelligent aviation environment.
Talk to Fusion Blue about airport deployment, technology partnerships, strategic collaboration or the future of physical-world intelligence in aviation.
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