Defense AI Software for Autonomous Systems and Counter-UAS
DIU-selected · Blue UAS-aligned · ATO-ready
We Build the Software that Gets AI from Lab to Field
Validated, Repeatable, and Ready for DDIL
Generate synthetic training data. Validate AI before deployment.
Deploy to edge platforms in DDIL environments.
No cloud dependency. No vendor lock-in. Auditable at every step.
What Defense Programs Face
Detection is too slow.
Cloud systems fail when comms go down. Swarms overwhelm operators. Fixed c-UAS cannot move with the force.
Training data does not exist.
Field collection is dangerous and expensive. Threats evolve faster than acquisition allows. Biased data causes missed detections.
Edge systems must work alone
DDIL is the norm. GPS gets denied. Legacy systems were not built for contested environments.
Compliance delays fielding.
ATO timelines add months. Vendor lock-in limits options. Threats do not wait.
What Success Looks Like
Detection that holds in contested conditions
Sensor-to-shooter in seconds, not minutes
Auditable evidence for ATO and program reviews
Deploy to any edge platform without re-engineering
Adapt to new threats without new data collection
How SensorOps' Purpose-Built software Addresses these challenges
TargetModeler
Generate labeled EO/IR datasets in minutes. Cover edge cases. Keep models current.
SynDOJO
Validate AI before fielding. Measure Pd, false alarms, operator response. Produce audit-ready evidence.
TacOS
Run AI on SWaP-constrained hardware. Fully offline. Multi-sensor fusion. API-driven.
use cases
Counter-UAS detection and tracking
Autonomous ISR payloads
Maritime domain awareness
Perimeter and base security
Route clearance and convoy protection
Mobile and expeditionary operations
Use Cases
Counter-UAS detection and tracking
Autonomous ISR payloads
Maritime domain awareness
Perimeter and base security
Route clearance and convoy protection
Mobile and expeditionary operations
Capabilities
Offline Operation
Full capability without cloud connectivity
GPS-denied capable
Works when GPS fails
SWaP-optimized
Runs on constrained hardware
Multi-sensor fusion
Fewer false alarms
Classified environments
Unclassified through Secret
Open architecture
YOLO, ONNX, TensorRT, TAK/ATAK
Developer-friendly
REST APIs, containers, CI/CD
Why SensorOps?
DE-RISK DEPLOYMENT
Validate performance before fielding.
ADAPT FASTER
New training data in minutes, not months.
NO CLOUD DEPENDENCY
Fully offline operation in DDIL environments.
NO VENDOR LOCK-IN
Bring your own models and export outputs.
REDUCE OPERATOR BURDEN
Fewer false alarms and clearer displays.