Get the Humvee Sample Dataset
A free, representative sample — annotated Humvee imagery in daylight and thermal — so you can evaluate detection quality on your own pipeline before you commit to anything.
Wield-AI
See More. Understand Faster.
Onboard detection and identification, on the aircraft — processing daylight and thermal imagery in real time, fully air-gapped. And because a model is only as good as its data, AAD owns the whole pipeline: we generate real datasets and train the models ourselves.
- Real-Time Detection
- Daylight & Thermal
- Air-Gapped
- Onboard Inference
Key Advantage
Most AI vendors hand you a model and hope your data matches it — we do the opposite. We build representative datasets on the exact cameras the model will run on, then train in-house, so it's tuned to what it will actually see in the field.
From Dataset to Detection
Every layer is developed in-house, so the model is trained on what it will see and runs where the decision is 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
Try the Data Before You Commit
See exactly how our models are trained — grab a free sample dataset, or order one built for your mission.
Need a Custom Dataset?
Order a dataset built on your targets, your cameras and your operating conditions — captured, annotated and delivered by AAD, ready to train on. Configure and order it on our platform.
Order a Custom Dataset →What Wield-AI Does
Perception built for the airframe — and for the targets and conditions of your mission.
Real-Time Detection
Detects and classifies targets in the live video stream, frame by frame, with a box and confidence per object.
Target ID by Signature
Identifies targets by visual and thermal signature — not just "something is there," but what it is.
Daylight & Thermal
Runs on UCMOS-D daylight and UTIM thermal feeds, with models tuned to each sensor.
Air-Gapped
All inference happens onboard — no cloud, no ground-station link, nothing to jam or intercept.
Real Dataset Generation
We capture and build representative datasets on the exact cameras, targets and backgrounds you operate in.
In-House Training & Retraining
Models are trained, validated and compiled by AAD — and retrained as your target set evolves.
Where It's Deployed
One perception stack, applied across the missions that matter most.
ISR & Recon
Persistent observation and target identification in daylight and thermal, logged onboard.
Strike & Interception
Feeds vision-locked terminal guidance for precision engagement of designated targets.
Counter-UAS
Detect and classify small aerial threats against open sky, then cue interception.
Search & Detection
Find heat signatures and objects of interest through smoke, foliage and degraded visibility.
One Onboard Stack
Our cameras, our models and datasets, and the compute they run on — engineered together to work as one, fully onboard and air-gapped.
Wield-AI Models & Datasets
Trained on real data captured on those exact cameras — see above
EdgeNode AI — Onboard
Runs the model air-gapped on the aircraft — up to 26 TOPS with Hailo
View EdgeNode AI
- Air-Gapped · No Cloud
- Up to 26 TOPS · Hailo
- CAN to BattleCore
