Machine AI/ML Training
Train AI with Synthetic Reality
Train smarter, faster
Improve and validate the accuracy of AI/ML models for autonomous navigation and military ISR. With Aechelon’s synthetic AI datasets and virtual sensor feeds, incorporate decades of worldwide multi-spectral/multi-domain image content in real-time to bring AI training to the next level.
Aechelon Synthetic Reality dynamically generates simulated video, imagery, and data—encompassing Visible, EO/IR, Radar, and Lidar sensor modalities—to train the next generation of AI.
Nucleus Datum in Action
See how Nucleus Datum creates real time per-pixel metadata for corresponding real time sensor feed.
Train Without Limits
Mission success on the modern battlespace depends on autonomous systems and distributed, persistent ISR. Aechelon Synthetic Reality provides the secure and scalable synthetic data needed to train and validate the autonomous solutions that will define our future.
Augment Reality. Anywhere.
Aechelon generates billions of 3D features rendered in 8K at 240 HZ for synthetic reality at the highest resolution. With genuine resolutions without extrapolation, Aechelon trains in any scenario at real flight speeds (including supersonic) for the ultimate synthetic reality.
Mission Fidelity. Ground Truth.
Use your own ISR assets to ensure maximum ground truth, either for training, mission rehearsal or live 3D generation and registration. Aechelon reproduces areas of interest with extreme 3D reconstruction for real-time fidelity at any time of day, night, weather, smoke, or fire.
Any Condition with Confidence
Experience industry-leading visualization with volumetric weather, realistic smoke, ML-driven snow accumulation, and more in any environment, anytime.
GPU-based Real-Time Computational Fluid Dynamics
Aechelon solutions incorporate the most advanced GPU-based Computational Fluid Dynamics (CFD) to augment local winds with the effects of terrain and weather. We support both government and commercial geo-specific weather servers to provide realistic AI/ML training that matches actual past, current or predicted atmospherics conditions.
