How it works
- Natural language input, API request or sensor event
- AI interpretation into a structured action plan
- Policy validation, confidence checks and optional human approval
- Controlled execution or simulation
- Audit logging, evidence capture and integrity verification
Key features
- ✓AI command filtering and policy enforcement
- ✓Real-time execution control for robotics, cameras and infrastructure workflows
- ✓Sensor event intelligence and orchestration
- ✓Simulation and approval paths before action
- ✓Structured logs and evidence-ready audit trails
Live System Demonstration
This video demonstrates real-time AI interpretation, policy validation and controlled execution using the Secure AI Runtime platform.
What is shown
- AI interpretation of input (LLM + system context)
- Structured JSON action generation
- Policy validation and safety enforcement
- Execution or blocking of actions
- Audit logging and traceability
Use cases
- ✓Robotics and autonomous systems
- ✓Smart surveillance and identity-aware security
- ✓Industrial IoT and edge operations
- ✓Critical infrastructure protection
- ✓Datacenter inspections and operational automation
European deployment angle
This platform is positioned for trustworthy AI, sovereignty-aware deployments and regulated environments where execution control matters as much as model quality. That makes it far more relevant for ADRA conversations than a generic AI website.
- ✓On-prem and edge-friendly deployment model
- ✓Suitable narrative for critical infrastructure and industrial pilots
- ✓Strong fit for European research and innovation partnerships
Selected use cases
Real product examples that make NetPrime relevant for ADRA, Horizon Europe and trustworthy AI deployments.
Autonomous Rover Control with AI
NetPrime developed an AI-controlled rover that combines local LLM orchestration with real-time vision. The system interprets natural language commands and turns them into validated operational actions.
- ✓Object detection and tracking
- ✓QR code recognition for contextual actions
- ✓Facial detection and identification
- ✓Controlled execution through safe action pipelines
Vision Hub – Real-Time AI Perception Layer
Vision Hub processes live video streams to detect, classify and interpret events in real time. It is designed for security, industrial monitoring and smart infrastructure workflows.
- ✓YOLO-based object detection
- ✓QR code scanning and workflow triggering
- ✓Facial detection for identity-aware actions
- ✓Structured event streaming with metadata
Secure AI Runtime Orchestration
Our platform introduces a secure execution layer between AI models and real-world systems so every decision can be validated, controlled and audited before execution.
- ✓AI command validation and filtering
- ✓Policy-based execution control
- ✓Real-time monitoring and intervention
- ✓Immutable audit logs