AI Platform for Autonomous Systems
Explore SensorOps products including AI-powered platforms for synthetic data generation, autonomous systems training, and real-time edge deployment for mission-critical operations.
Three Products. One Integrated Workflow.
Design targets in TargetModeler. Validate performance in SynDOJO. Deploy on TacOS.
SensorOps delivers an AI platform for autonomous systems that connects synthetic data generation, simulation-based training, and edge deployment into a single operational workflow. Each product operates independently or together, giving teams a complete AI lifecycle platform from modeling through deployment.
Offline-capable. Operator-controlled. Built for mission-critical operations.
Why SensorOps Products?
Most AI platforms assume constant connectivity, developer access, and unlimited time. SensorOps products are purpose-built for real operations, where teams need to generate training data in hours, validate performance before deployment, and execute decisions at the edge without cloud dependencies.
Every deployment generates data that improves the next iteration. Performance climbs while costs stay flat.
TargetModeler
Design and Build
Synthetic Data Generation for Electro-Optical/Infrared Vision Models
Training AI models requires vast quantities of labeled data. Field collection is slow, expensive, and misses critical edge cases. TargetModeler generates balanced, labeled EO/IR datasets in minutes, giving teams an AI platform for training and deployment that accelerates model iteration without waiting on field collection.
Operational Benefits
- Accelerate model iteration. Generate thousands of labeled images in under 10 minutes. Drive model updates between live collections instead of waiting months for new field data.
- Cover edge cases by design. Occlusion, low light, glare, clutter, small objects, look-alikes. Control what traditional collection cannot.
- Eliminate manual labeling. Auto-annotation with bounding boxes, polygons, masks, key points, and 3D cuboids. Quality reports included with every dataset.
- Match operational sensors. Physics-based rendering that replicates EO/IR, SAR, noise, blur, compression, and optics limits for mission-realistic training.
Deployment: On-prem, air-gapped, no internet required.
SynDOJO
Rehearse, Assess, Track Readiness
Unmanned Systems Simulation, Training, and Validation Platform
Qualifying operators and autonomous systems requires repetition. Live training is expensive, hard to schedule, and difficult to scale. SynDOJO creates a simulation and edge AI software platform where teams rehearse missions, measure performance objectively, and validate readiness before deployment.
Operational Benefits
- Shift training to synthetic. Build mission-realistic scenarios in minutes. Move preparation and evaluation into simulation and reserve live operations for what must be done in the field.
- Measure what matters. Track probability of detection, false alarms, time-to-cue, and operator response. Grade automatically by task, timeline, and sensor use.
- Train humans and machines together. Operators and autonomy coordinate in the same environment. Practice decision-making under changing conditions before live deployment.
- Validate AI before fielding. Evaluate detection models, alert logic, and fusion pipelines in a controlled environment. Fix problems before they reach operations.
Deployment: Laptop, workstation, or server. Standalone or networked. Unclassified through Secret.
TacOS
Deploy and Repeat
Edge AI Runtime for Autonomous Operations and Sensor Fusion
Mission-critical systems need to detect, decide, and act without depending on cloud connectivity. TacOS is an edge AI and simulation platform that executes AI analytics, sensor fusion, and mission logic on small, power-limited hardware, operating reliably in denied, degraded, intermittent, and limited (DDIL) environments.
Operational Benefits
- Millisecond decisions at the edge. Detection-to-action response without backhaul. Operate when GPS is denied or communications degrade.
- Fuse multiple sensors. Correlate radar, EO/IR, AIS, ADS-B, RF, and acoustic feeds into time-aligned, geo-referenced tracks with confidence scoring.
- Adapt without rebuilding. Operators swap models, thresholds, and pipelines using drag-and-drop configuration. No developers required.
- Audit everything. Reason-coded outputs, confidence scores, and evidence bundles for replay and after-action review.
Deployment: Sub-10W edge platforms to server-class. Linux and Android. ARM and x86. On-prem with optional cloud-assist.
The Integrated Workflow
SensorOps products connect into an end-to-end AI platform for autonomous systems that closes the loop between training and operations.
1. Design targets in TargetModeler
Generate synthetic data for the scenarios that matter. Cover edge cases that field collection misses.
2. Validate performance in SynDOJO
Train operators and autonomy together. Measure detection performance. Fix problems before deployment.
3. Deploy on TacOS.
Execute validated models at the edge. Capture operational data and evidence bundles.
4. Improve continuously
Feed operational data back into training. Each deployment makes the next one better.
Three standalone products. One operational intelligence AI platform.
Who Uses SensorOps Products?
Defense and National Security
c-sUAS, UAS ISR, route clearance, base security, maritime perimeter, contested communications. ATR/ISR target recognition, look-alike discrimination, EW-degraded conditions.
Public Safety and Critical Infrastructure
Mobile command, event security, pipeline patrol, port security. Search and rescue training, perimeter monitoring, substation protection.
Industrial and Logistics
Yard automation, warehouse inventory, inspection QA. Detection and counting workflows across facilities.
Platform OEMs and System Integrators
Customer-specific datasets for training and acceptance testing. Drop-in edge runtime without designing a new inference stack.
Built For Operational Reality
- Offline-capable. All products operate in disconnected, air-gapped, and DDIL environments
- Operator-controlled. Configure scenarios, pipelines, and workflows without developers or code.
- Secure by design. RBAC, audit logging, signed artifacts. Unclassified through Secret.
- Hardware-agnostic. Standard model formats (YOLO, ONNX, TensorRT). No lock-in.
