Services/Digital Transformation & AI
Digital Transformation & AI
AI & Machine Learning
Cignus develops AI and machine learning solutions purpose-built for aviation operations and safety. Our models include predictive airport capacity and demand forecasting, natural language processing for ATC/pilot voice communications analysis, computer vision for surface movement monitoring, and anomaly detection algorithms that identify emerging safety risks before they develop into incidents. Each model is trained on real aviation data and validated against operational ground truth.
Predictive Capacity Forecasting
ML models generating 15-hour probabilistic airport capacity and demand predictions.
NLP Voice Processing
ATC/pilot communication analysis for aircraft conformance monitoring and safety alerts.
Anomaly Detection
Pattern recognition algorithms for identifying abnormal operations across airport systems.
Model Validation
Ground truth validation using SWIM, ASDI, and airport operational data feeds.
Digital Twin Platforms
Real-time 3D and 2D visualization of airport operations using Cesium and deck.gl, developed in collaboration with NASA on our Helios AWS platform. Integrates live data feeds — ADS-B, surface surveillance, SWIM, and sensor telemetry — for safety monitoring, capacity analysis, and decision support.
3D Visualization Engine
Cesium-based immersive environment with real-time operational data overlays.
Multi-Source Data Integration
ATC surveillance, weather, NOTAM, and surface movement data fusion.
Predictive Analytics Layer
AI-powered forecasting of operational conditions and safety risks.
Stakeholder Dashboards
Role-based views for safety officers, operations managers, and ATC supervisors.
Cloud Data Architecture
Cignus designs and implements cloud-native data architectures on AWS and Azure that handle the scale, velocity, and complexity of aviation data. Our platforms process real-time streams from SWIM, ASDI, ADS-B, Common Use Airport Systems, baggage handling telemetry, and custom sensor networks, storing and analyzing terabytes of operational data with sub-second latency for time-critical safety and operations applications.
AWS Architecture
Serverless and containerized designs using Lambda, ECS, S3, RDS, and Kinesis.
Azure Data Platform
Hub-spoke integration architectures using Azure Data Factory, Event Hubs, and Synapse.
Real-Time Stream Processing
Sub-second ingestion and analysis of aviation data feeds at scale.
Operational Dashboards
We build custom operational dashboards that transform complex aviation data into actionable intelligence for airport operators, airline dispatchers, and air traffic managers. Our dashboards feature real-time KPI monitoring, probabilistic capacity forecasting displays, interactive flight tracking maps, and historical trend analysis tools designed by aviation domain experts who understand what operational decision-makers actually need to see.
Real-Time KPI Monitoring
Live operational metrics with configurable thresholds and alert triggers.
Capacity Forecasting Displays
15-minute increment arrival/departure forecasts with confidence intervals.
Interactive Flight Tracking
Custom GIS maps with intelligent clustering, weather overlays, and SIGMET display.
Data Integration & APIs
Cignus builds production-grade API connectors and data integration pipelines for aviation data systems. We have implemented real-time integrations with FAA SWIM (TFMS, TBFM, STDDS), ASDI/HADDS data feeds, SITA ACARS, Brock baggage system APIs, and Common Use Airport System platforms. Our integration patterns handle message format mediation, flight correlation, deduplication, and fault tolerance for mission-critical operational environments.
SWIM Data Integration
TFMS, TBFM, STDDS, and ITWS data feed processing and correlation.
Airport Systems Connectors
Brock API, SITA CUTE/CUPPS, and baggage handling system integrations.
API Development
RESTful and streaming API design for aviation data distribution and consumption.
Data Governance & Standards
We partner with airports to develop and implement data governance frameworks — defining Digital Performance Standards, data quality metrics, and cross-operator data consistency policies — based on a proven methodology developed in collaboration with major airports across the U.S. and internationally.
Performance Standards
Cross-operator KPI definitions ensuring consistent measurement across airport systems.
Data Quality Frameworks
Automated data quality monitoring, validation rules, and exception reporting.
Governance Policies
Data ownership, access control, retention, and sharing policy development.