Autonomy at the edge,
under operator control
SensorOps builds reliable artificial intelligence (AI) that runs on small edge devices so teams can see more, decide sooner, and reduce operational risk in the field.
WHAT MAKES US DIFFERENT
Time-to-field workflow
A repeatable path from idea to live use.
Built for offline use
Designed to operate without cloud dependency in low-bandwidth and Global Positioning System (GPS)-denied conditions.
Operator-driven
Tune, test, and update models without standing up a full data-science team.
Simulation-to-operations loop
Practice in realistic scenarios, verify performance, then deploy with measured expectations.
Cross-domain by design
Practice in realistic scenarios, verify performance, then deploy with measured expectations.
HOW IT COMES TOGETHER
SensorOps products form one unified loop
TargetModeler builds the training foundation by generating and labeling hard-to-capture examples so AI and machine learning (AI/ML) models can be trained on edge cases. SynDOJO rehearses and validates those models in scenario-based runs, capturing what needs to change. TacOS deploys trained models on small, power-limited hardware and runs analytics on live sensor feeds at the edge. Each run produces data and feedback that informs the next one.
Who uses SensorOps
Defense & national security
Edge autonomy in electronically contested environments, degraded communications, and evolving threats.
Public safety & critical infrastructure
Detection, triage, and decision support during high-risk operations and inspections.
Industrial & commercial
Inspection, logistics, and automation in low-bandwidth environments where downtime has operational impact.
