NDAA Compliant · Made In The USA
AAD's software stack puts perception and autonomy on the drone itself — air-gapped, real-time, and built for GPS-denied, EW-contested environments. From dataset to detection to terminal guidance, every layer is developed in-house.
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Wield-AI brings onboard detection and identification to the aircraft — processing daylight and thermal imagery in real time, fully air-gapped. But a model is only as good as the data behind it. That's why AAD owns the whole pipeline: we generate real, representative datasets and train the models ourselves.
Most AI vendors hand you a model and hope your data matches it. We do the opposite. AAD captures and builds representative datasets on the exact cameras the model will run on — matched to your targets, your backgrounds, and your operating conditions, in both daylight and thermal. The model is trained on what it will actually see in the field.
Detection and identification models are trained, validated, and optimized entirely by AAD — then compiled for onboard inference and pre-loaded per customer order. No outsourced training, no black-box weights you can't account for. As your target set evolves, we retrain and redeploy to keep accuracy where it needs to be.
AAD owns every layer, so the model is trained on what it will actually see and runs where the decision has to be made — on the aircraft.
Real Datasets
Captured on the same cameras, targets & conditions
In-House Training
Trained, validated & compiled by AAD
Onboard Inference
Runs air-gapped on EdgeNode AI
Detection & ID
Targets boxed & classified in real time
Terminal Guidance
AIMLOCK flies the final approach
One perception-and-autonomy stack, applied across the missions that matter most.
Hold the lock on targets that move and maneuver.
Vision-locked terminal approach onto a designated target, holding guidance through jamming and spoofing.
Detect and classify small aerial threats against open sky, then cue interception.
Find heat signatures and objects of interest through smoke, foliage and degraded visibility.
Two AAD-developed software capabilities that take the aircraft from "sees the target" to "flies the mission."
AAD Software
Autonomous Terminal Approach
AIMLOCK takes over for the final approach — autonomously guiding the aircraft onto a designated target at ranges up to 1 km. Because it follows the target visually rather than GPS coordinates, it holds guidance through electronic-warfare (EW/REB) jamming and GPS spoofing — exactly where coordinate-based navigation fails.
AAD Software
Waypoint & Route Automation
Plan it once, fly it hands-off. Mission Autopilot executes pre-set waypoints and routes for fully automatic mission flight — takeoff, navigation, and the mission profile run autonomously on the AAD flight stack, with no operator stick time required.
AAD autonomy follows what the camera sees, not a coordinate it's told to trust — so it keeps working exactly where electronic warfare breaks coordinate-based navigation.
Vision-based guidance locks onto the target itself, so the mission continues with no satellite fix at all.
Holds guidance through active jamming of GPS and command links — no ground-station signal required in the loop.
Because it doesn't trust an external position, a falsified GPS signal can't pull the aircraft off its target.
Wield-AI is compiled for onboard inference and runs on EdgeNode AI — a field-swappable compute module with a dedicated Hailo accelerator delivering up to 26 TOPS, with no link to a ground station. Detection, identification and terminal guidance all happen on the drone, with direct CAN access to BattleCore FC7.
AAD software runs on AAD hardware — perception on EdgeNode AI, flight on BattleCore — so detection, terminal guidance, and mission autonomy share one architecture instead of fighting across vendors.
See the HardwareTell us your mission profile and target set — we'll scope the perception models, datasets, and autonomy software to match.