The Executive Order on Unleashing American Drone Dominance has set a clear mandate: agencies must deploy AI-powered drone operations that are fast, flexible, and secure. That means more than flying smarter drones — it means building a scalable infrastructure to support edge autonomy and mission-specific intelligence.
To meet this moment, organizations need two things:
- A way to deploy AI at the edge of drone operations.
- A way to quickly build and adapt machine learning models that support compliance, object detection, and autonomous decision-making.
SensorOps delivers both — with TacOS and TargetModeler.
Turning Drones into Real-Time Decision Makers with TacOS
As drone missions become more complex, edge intelligence is essential. Whether the mission involves tactical surveillance, critical infrastructure inspection, or airspace deconfliction, drones must process data and make decisions without relying on cloud latency or human intervention.
SensorOps TacOS makes this possible.
TacOS is a smart sensor operating system that equips existing drone hardware with advanced autonomy — no custom ML teams or dedicated infrastructure required. Built on open standards, it allows organizations to:
- Deploy AI at the edge in minutes, not months
- Enable onboard navigation, mission planning, and obstacle avoidance
- Retrofit legacy fleets with modern capabilities using a plug-and-play approach
This edge-first model supports real-time decision-making while reducing reliance on external processing — a key advantage for compliance, security, and resilience.
Meeting EO Mandates with Secure, Flexible Edge AI
The Executive Order emphasizes domestic innovation, supply chain integrity, and interoperability across drone systems.
TacOS addresses all three:
- Built for integration with U.S.-based drone platforms
- Supports domestic hardware supply chains
- Ensures compatibility across multi-vendor UAS environments
For federal agencies looking to modernize while maintaining control over technology origins and operations, TacOS offers a practical path forward.
Scaling Machine Learning with TargetModeler
Edge intelligence is powerful — but it’s only as effective as the machine learning models running behind it. Developing these models, especially for object detection and classification, has traditionally been slow, expensive, and highly technical.
SensorOps TargetModeler changes that.
TargetModeler allows organizations to rapidly build and deploy ML models using minimal labeled data and without extensive AI expertise. The result:
- Custom models for mission-specific detection tasks
- Faster adaptation to new regulatory and operational requirements
- Reduced cost and time-to-fielding
Whether the mission requires identifying power lines, vehicles, or other UAS, TargetModeler enables teams to quickly train and validate models that align with their needs — and the EO’s evolving standards.
AI That Keeps Pace with the Mission
Together, TacOS and TargetModeler provide a complete foundation for AI-powered drone operations:
- TacOS equips drones to act autonomously at the edge.
- TargetModeler ensures those actions are informed by mission-relevant intelligence.
This dual approach enables agencies and operators to rapidly adapt to new use cases, comply with evolving EO mandates, and reduce operational risk — all while maximizing speed and efficiency.
The mission is moving fast. With SensorOps, your drone operations can move faster.
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