GENOX AIIoT
On-Device AI Agent Platform for the Physical World
Create, deploy, and manage custom AI agents that control computers, smartphones, IoT devices, drones, robots, and appliances — all powered by quantized local LLMs with edge-first architecture.
Intelligence at the Edge
The next wave of AI isn't in the cloud — it's on every device you own. From a Raspberry Pi running a smart home agent to a drone performing real-time object detection, our platform brings AI to the physical world.
With 4-bit quantization, a 3B-parameter model runs in just 2GB of RAM. Combined with MCP (Model Context Protocol) for universal device communication, any hardware becomes an intelligent agent.
This is zero cloud dependency, zero monthly cost, zero data leaving your premises. Your AI stays local, your data stays private, and your agents stay fast.
Platform Characteristics
Universal Device Control
One platform to create AI agents for every device in your ecosystem
GUI automation via screen capture + VLM grounding, code execution, browser control, and smartphone ADB/Shortcuts integration
Home Assistant + Matter/Zigbee/MQTT integration for lighting, HVAC, security cameras, and energy management
MAVLink/PX4 drone control with autonomous patrol, YOLOv8 edge detection, and robotic arm manipulation via MCP
SmartThings/Tuya appliance APIs, OBD-II vehicle diagnostics, wearable health data, and EV charging management
Core Capabilities
Visual Workflow Designer: Drag-and-drop interface for defining agent behaviors, triggers, and device interactions without writing a single line of code.
YAML Agent Schema: Declarative agent configuration covering model selection, device bindings, behavioral rules, and safety constraints.
→ Select device → Define goals → Set rules → Choose model → Deploy
Multi-Layer Verification: Rate limiting, permission checks, anomaly detection, and human-in-the-loop approval for high-risk actions.
Sandboxed Execution: Each agent runs in isolation with network firewalling, encrypted MCP communication (TLS 1.3), and immutable audit logs.
→ Rollback engine restores previous device state on any error
Automated Model Optimization: Convert open-source models to optimized edge formats for any hardware target — from microcontrollers to desktops.
Tiered Model System: From 80MB nano models for embedded devices to 8GB+ desktop models — the right model for every device class.
→ 4-bit quantization reduces model size by 65% with minimal quality loss
Community Agent Skills: Browse, install, and share pre-built agent skills for smart home automation, drone patrol, health monitoring, pet care, and more.
Physical Device Skills: Unlike software-only skill systems, our marketplace includes skills for robotic arms, CNC machines, 3D printers, and industrial equipment.
→ One-click install with automatic device compatibility check
Differentiating Innovation
Record your manual device interactions — the AI analyzes the pattern and automatically generates an agent that replicates your workflow. Your morning routine becomes an agent in one recording session.
Agent behavioral parameters evolve through genetic algorithms driven by your feedback. Over generations, your agents become perfectly tuned to your preferences — and optimal "DNA" can be shared on the marketplace.
Hybrid local + remote inference: lightweight models handle routine tasks on-device while complex reasoning seamlessly offloads to larger cloud models. The best of both worlds with automatic routing.
System Architecture
From your desktop to every device — a unified AI agent stack
Application Layer
Agent Builder
Drag-and-drop workflow designer
Device Panel
Live status and control
Dashboard
Monitoring and analytics
Agent Runtime Engine
Inference Engine
MCP Protocol Layer
Universal communication layer — translates AI agent commands into device-native protocols automatically
What You Can Control
One platform, every device class — with practical AI agents for real-world use
- Automated climate control based on occupancy
- Security camera monitoring with anomaly alerts
- Energy usage optimization across all appliances
- Voice-controlled lighting and scene management
- Autonomous patrol routes with obstacle avoidance
- Real-time object detection during flight
- Agricultural crop health surveillance
- Delivery route planning and package drop-off
- Robotic arm manipulation via natural language
- Quality inspection on production lines
- Warehouse inventory tracking and sorting
- CNC machine operation and 3D print management
- GUI automation via screen capture and AI grounding
- Automated code review and deployment pipelines
- System health monitoring with predictive alerts
- Data processing and report generation agents
- App automation through accessibility APIs
- Personal schedule and task management agents
- Health data aggregation from phone sensors
- Smart notification filtering and summarization
- OBD-II diagnostics with predictive maintenance
- Fleet tracking and route optimization
- EV charging schedule management
- Driver behavior analysis and safety alerts
- Continuous health metric monitoring
- Exercise pattern analysis and coaching
- Sleep quality tracking with recommendations
- Emergency fall detection and alert dispatch
- Solar panel output optimization
- Smart grid load balancing agents
- Water usage monitoring and leak detection
- Building energy audit and efficiency reports
Custom Integration
Need to connect a device or system we don't support yet? Our platform is built for extensibility. Customers can request custom MCP bridges, device drivers, and specialized AI agent skills tailored to their unique hardware and workflows.
Custom MCP protocol bridges for proprietary hardware
Industry-specific AI agent templates and workflows
Private model fine-tuning for your domain data
On-premise deployment with dedicated support
White-label solutions for OEM partners
Contact us at admin@genox.one for custom integration requirements
How Models Scale
The platform automatically selects the right AI model size for each target device — from a tiny model on a microcontroller to a powerful model on your workstation. No manual configuration needed.
Microcontrollers, sensors, and embedded boards
Raspberry Pi, Jetson, single-board computers
Workstations, laptops, and gaming PCs
Cloud instances and training clusters
Development Status
Genox AIIoT is currently in active development. The core Electron shell, Vue.js frontend, and Python/FastAPI backend are established. We are building towards full llama.cpp integration, MCP protocol layer, and No-Code Agent Builder.
Our roadmap targets MVP with Computer Use and Home Assistant agents, followed by drone control, smartphone integration, and the Skill Marketplace.