Avigilance provides an AI-enabled aviation safety intelligence platform that helps organizations identify emerging risks earlier and act before safety margins erode. The platform combines applied AI, automation, and human factors expertise to make risk easier to see, explain, and act upon, with an initial focus on proactive wildlife strike forecasting. It is built by aviation safety practitioners and applied AI specialists to support safety-critical decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Aviation organizations often struggle to identify emerging safety risks before they escalate, relying on reactive analysis of incidents after they occur. Wildlife strikes, in particular, pose a significant and growing threat to aviation safety, yet existing tools lack the predictive capability to forecast when and where these risks will materialize.
Solution
Avigilance provides an AI-enabled aviation safety intelligence platform that combines applied AI, automation, and human factors expertise to make risk easier to see, explain, and act upon. The platform turns aviation safety expertise into AI-enabled foresight, helping organizations identify emerging risk earlier and act with confidence before safety margins erode. By integrating subject-matter expertise with machine learning, Avigilance enables proactive risk management rather than reactive incident response, with an initial focus on forecasting wildlife strike risk.
Target Audience
Primary customers are international airports, flag-carrying airlines, and other safety-critical aviation operators, as well as aviation insurance underwriters seeking improved risk assessment capabilities.
Features
- AI-enabled predictive modeling for proactive wildlife strike risk forecasting
- Integration of aviation safety practitioner expertise with applied AI and human factors methodology
- Platform architecture designed for regulated environments, supporting safety-grade outputs
- Specialist services combining AI, automation, and subject-matter expertise to improve risk visibility and explainability
- Joint venture structure incorporating human-performance methodology for safety management systems