European AI Control Platform for Datacenters & Edge Operations
Control, validate and audit AI decisions in real-world environments. Built for datacenters, robotics, IoT and critical infrastructure where on-prem security, determinism and European data sovereignty matter.
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AI Control Layer for real-world systems
Our platform adds a secure orchestration layer between AI decision-making and execution. Every action can be validated, monitored and logged before it reaches robots, sensors, operators or infrastructure systems.
Command validation
Natural language, events or API inputs are converted into structured actions with policy checks, confidence thresholds and deterministic execution rules.
Runtime control
Approve, reject, simulate or rate-limit actions in real time before they affect cameras, robots, access systems or operational workflows.
Immutable audit trail
Keep evidence-ready logs, event metadata and action history for regulated environments, post-incident review and operational accountability.
Why this matters for Europe
As AI systems become more autonomous, Europe needs deployment models that are secure, explainable and operable in regulated environments. NetPrime focuses on on-prem and sovereignty-aware AI execution for critical infrastructure, industrial environments and datacenter operations.
- ✓Designed for GDPR-aware and on-prem deployment models
- ✓Relevant for Horizon Europe, ADRA and trustworthy AI initiatives
- ✓Bridges AI software, infrastructure and operational control
- ✓Built for pilots that can evolve into production-grade European deployments
Identity-aware security workflows
Context matters: unknown persons are flagged as intruders. Authorized staff can be allowed while unattended or forbidden objects still trigger alerts. Snapshots and metadata keep evidence audit-friendly.
- ✓Face enrollment and recognition (cosine distance matching)
- ✓Unattended / forgotten object detection with confirmation frames
- ✓Grace-period logic when an authorized person is present
- ✓Rate limiting + debounce to prevent alert storms
From events to actions — safely
Every detection becomes an event. Events can be reviewed, stored with retention rules and—when policy allows—converted into deterministic actions through a local orchestrator.
- ✓Health endpoints and stream watchdogs
- ✓Structured JSON logs for operations & compliance
- ✓Azure Local compatible edge deployments
- ✓Clear rollout: pilot → hardening → production
Want an AI-first infrastructure plan?
Tell us what you want to automate (security workflows, inspections, monitoring). We propose architecture + rollout plan optimized for offline/on‑prem.
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
Services at a glance
End‑to‑end delivery: architecture, migration, implementation and 24/7 operations — with an AI‑first focus where it matters.
Azure & Local Stack
Hybrid architectures, IaC automation and observability for speed and control.
For this demo, images are sourced from public stock libraries (Unsplash) and embedded via URL.
Delivery model
Clear phases, measurable outcomes and operational ownership after go‑live.
Assess
Quick audit of infrastructure, security posture and workflows. Define targets and constraints.
Build
Deploy modules, integrate events, define deterministic action plans and acceptance criteria.
Operate
Monitoring, patching, backups, runbooks, and continuous improvements — 24/7 where required.
Insights
Short, practical updates about infrastructure, security and AI operations.
Identity-aware alerts for on‑prem environments
How face recognition + object policies reduce false alarms without losing security coverage.
Deterministic automation with Action JSON
Why structured commands and safety rules matter when you automate physical systems.
Operational hardening checklist
Health checks, logging, retention, and deployment hygiene for production readiness.