Introduction
Aerodyne’s technologies empowers decision-making by providing clarity through reality modelling tools & machine learning in critical commercial and government contexts around the world. From food security, energy security to national security, organisations rely on Aerodyne to effectively leverage advanced drones & analytics to drive operational excellence. At its core, the lifecycle of data-driven decision making goes through 3 stages: Discovery, Understanding, Action.
Discovery
Remote sensing & reality modelling through satellites, drones & ground based robotics.
AI assisted workflows to accelerate mass scale image, video, 3D mesh reconstruction.
ERP integration to hydrate reality models with rich enterprise context.
Understanding
Temporal analysis to observe historical trends & monitor compliance.
Stack various data layers to understand causal relationships to predict likelihood of outcomes.
Engineering insights through integration with finite element solvers for structural analysis.
Action
Build an action plan with quantified needs for optimised resource allocation.
Self operate or engage a network of expert operators in 45 countries for rapid deployment.
High SLA for quick turn around time.
Our approach to building systems is driven by an architecture that is modular & extensible. We measure success through the rapid need to close a loop.