Aeroficial Intelligence offers a cloud‑based Cockpit Suite that ingests operational data from airports and airspace systems and applies machine‑learning models to predict aircraft movements, traffic disruptions, and performance metrics in real time. The platform provides customizable KPI dashboards, automated alerts and rule‑based workflow actions, and a 30‑day replay mode for post‑event analysis, enabling operators to proactively manage staffing, stand allocation, and gate assignments.
Funding
Funding not disclosed
Founders
Product
Problem
Airport and airspace operators often work with fragmented, delayed data, forcing critical decisions to rely on intuition rather than real‑time intelligence. Siloed workflows across airside, apron, and air navigation teams lead to miscommunication, bottlenecks, and costly delays. The lack of integrated, predictive analytics hampers efficient resource allocation and runway throughput.
Solution
Aeroficial Intelligence delivers the AI‑powered Cockpit Suite, a cloud‑based platform that ingests heterogeneous operational data sources and applies machine‑learning models to generate live predictions of aircraft movements, traffic disruptions, and performance metrics. The suite provides customizable dashboards that surface key performance indicators (KPIs) and forecasts, enabling managers to anticipate congestion and adjust staffing, stand allocation, and gate assignments proactively. Automated workflow engines trigger alerts and predefined actions when thresholds are crossed, reducing manual intervention. A replay mode stores up to 30 days of operational history for post‑event analysis and continuous improvement. The platform is accessible via a web interface, supporting real‑time situational awareness across airside, apron, and airspace domains without additional hardware investment.
Target Audience
The primary customers are airport operations control centers, airside and apron management teams, and civil aviation authorities responsible for airspace and ground‑handling efficiency.
Features
- Real‑time AI predictions for aircraft arrival, departure, and taxi‑in/taxi‑out times
- Automated KPI tracking with continuous updates and ICAO‑compliant reporting
- Customizable dashboards that display selected metrics for airside, apron, and air navigation teams
- Rule‑based workflow engine that generates alerts and initiates corrective actions automatically
- Replay mode for reviewing up to 30 days of operational data to support investigations and optimization
- Integrated geo‑fencing data generation for low‑CAPEX deployment and precise asset monitoring
- Web‑based interface with role‑based access, enabling secure collaboration across multiple stakeholder groups