Airwai offers an AI‑driven platform that uses autonomous robots and edge computing to continuously inspect and monitor defense and airport infrastructure. The system creates real‑time digital twins, detects anomalies, and provides predictive maintenance insights through secure, API‑based integration with existing command networks.
Funding
Funding not disclosed
Founders
Product
Problem
Critical defense and airport infrastructure suffers from fragmented inspections, deferred maintenance, and limited real-time visibility, leading to costly failures and reduced mission readiness.
Solution
Airwai provides an AI-powered platform that consolidates inspection data into a continuous, real-time situational awareness layer for critical infrastructure. The system deploys autonomous robotics and edge‑based AI to perform automated inspections, detect anomalies, and generate digital‑twin insights without requiring extensive human oversight. Integrated analytics deliver actionable insights to operators, enabling proactive maintenance and faster decision‑making in high‑risk environments. Robust security protocols protect sensitive data and ensure compliance with defense standards. The platform is designed for seamless integration with existing defense networks such as AWS, JADC2, and ATAK, extending its capabilities across the operational workflow.
Target Audience
Primary customers are government defense agencies, military logistics units, and operators of critical airport infrastructure seeking automated inspection and predictive maintenance solutions.
Features
- Autonomous robotic units equipped with AI vision for automated inspection of airport and defense facilities
- Edge‑computing AI models that process sensor data in real time to identify structural defects and security threats
- Digital‑twin generation and continuous update of infrastructure status for predictive maintenance
- Secure data handling with encryption and compliance to defense‑grade security standards
- Open integration APIs compatible with AWS, JADC2, and ATAK for embedding insights into existing command systems
- Real‑time analytics dashboard delivering anomaly alerts, trend visualizations, and actionable recommendations