Pioneering Edge AI & IoT Hardware Solutions

Building next-generation embedded systems that bridge physical and digital worlds

Our Technology Product Roadmap

Our Vision

Revolutionizing Industries Through Proprietary Hardware & AI

AI SENSE is a full-stack hardware and software R&D company building cutting-edge embedded systems to revolutionize how industries interact with technology. We develop proprietary IoT devices, edge computing platforms, and AI algorithms purpose-built for next-generation intelligence.

  • Building proprietary hardware sensors and IoT systems
  • Developing edge AI algorithms for real-time data processing
  • Creating end-to-end technology stack from hardware to software

Our mission extends beyond creating technology—we're building self-sustaining intelligent ecosystems that demonstrate locally-developed hardware and AI can compete with global standards while driving innovation in our core markets.

R&D Collaborations

  • NAAMII Physical AI Lab (Hardware R&D)
  • Kathmandu University (Algorithm Development)
  • UMBC (Advanced Research)

Our Products

Advanced Hardware & AI Technologies

AI Hardware

SenseCam™ Vision System

Proprietary computer vision hardware with edge processing capabilities

SenseNode™ System

Autonomous IoT sensors with integrated ML for real-time detection and analysis

EnviroSense™ Hardware

Smart environmental control systems with proprietary monitoring sensors

Predictor™ Platform

Field-deployable analysis devices with embedded predictive algorithms

ChainTrack™ Platform

End-to-end hardware monitoring system with IoT sensors for full supply chain visibility

SenseCore™ OS

Our proprietary embedded operating system for IoT device orchestration

Our Technology Stack

Full-Stack Hardware & Software Innovation

Technology Stack

We develop complete end-to-end solutions from hardware sensors to cloud analytics

Hardware Layer

  • Custom PCB design & fabrication
  • Embedded systems engineering
  • Multi-spectral sensor arrays
  • Energy-efficient computing
  • Ruggedized field hardware

Edge Computing

  • TinyML model deployment
  • Real-time sensor data processing
  • Low-power AI algorithms
  • Distributed computing framework
  • Embedded computer vision

Software Platform

  • Custom ML model training
  • Distributed IoT communications
  • Predictive analytics engine
  • Data aggregation & visualization
  • API integrations

Product Development

Our Technology R&D Portfolio

SenseCam™ Vision System

SenseCam™ Vision Platform

Proprietary hardware and embedded vision system with on-device processing

  • Custom multispectral camera array with automated targeting
  • Edge AI processing for real-time object identification
  • Low-power embedded computing with extended battery life
EnviroSense™ Hardware

EnviroSense™ System

Integrated hardware platform for advanced environmental monitoring

  • Proprietary sensor arrays with micro-environment detection
  • Automated control systems with ML-driven optimization
  • Solar-powered with mesh network capabilities
SenseNode™ System

SenseNode™ Detection Network

Distributed IoT monitoring hardware with embedded AI

  • Field-deployable multi-sensor detection arrays
  • On-device machine learning for pattern recognition
  • LoRaWAN mesh network with 5+ km range per node

Product Roadmap

Our Hardware & Software Development Timeline

Hardware Design & Prototyping

R&D Focus
  • Sensor selection & embedded computing architecture design
  • Custom PCB prototyping & hardware specification
  • Embedded firmware development & testing
  • Power management & field durability optimization
Deliverables
  • Functional Prototypes
  • Hardware Architecture
  • Embedded OS Foundation

IoT & Communication Systems

R&D Focus
  • LoRaWAN/NB-IoT mesh network development
  • Power-efficient communication protocols
  • Data compression & transmission optimization
  • Secure device authentication & encryption
Deliverables
  • Communication Framework
  • Network Protocol Stack
  • Field Testing Results

Edge AI & Embedded Intelligence

R&D Focus
  • TinyML model development & optimization
  • On-device training & inference algorithms
  • Hardware acceleration implementation
  • Distributed intelligence framework
Deliverables
  • Edge AI Engine
  • Model Optimization
  • Performance Benchmarks

Production & Deployment

R&D Focus
  • Hardware manufacturing optimization
  • Production-ready firmware & quality assurance
  • Field deployment infrastructure
  • Maintenance & support systems
Deliverables
  • Production Units
  • Deployment Framework
  • Pilot Implementations

Common Questions

Learn More About Our Hardware & Technology

How do your hardware products integrate with existing systems?

Our devices are designed with universal compatibility in mind. We've developed hardware adapters and standardized interfaces that allow our sensors and processing units to connect with most existing equipment and systems. For specialized integrations, our engineers provide custom solutions based on your specific requirements.

What is the power source for your IoT field devices?

Our field hardware runs on a hybrid power system combining high-efficiency solar panels with our proprietary long-life batteries. The power management system is intelligent, adjusting operation based on available power and priorities. Devices can run for up to 3 months without external power thanks to our ultra-low-power design.

Does your technology require internet connectivity to function?

No, our systems are designed to operate fully offline. Our edge devices process data locally using embedded AI, and communicate through our proprietary LoRaWAN mesh network. Internet connectivity enhances functionality by enabling cloud-based analytics and updates, but is not required for core operations.

Contact Us

Connect With Our Team