Precision Engineering
Engineering the Invisible Layers.
From long-range radio architectures to high-density circuit integration, Elexor transforms complex physics into industrial performance.
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LoRaWAN® Ecosystem
Implementing high-reliability long-range communication for massive IoT deployments. Our stack optimizes power consumption while maximizing link budget in challenging environments.

15km+

Urban Range

10 Years

Battery Life
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IoT Connectivity Hub
Seamless integration across NB-IoT, LTE-M, and proprietary sub-GHz protocols. We ensure your data flows where it needs to, securely.
  • Multi-Protocol Mesh
  • Edge Computing Nodes
  • End-to-End Encryption
Precision Engineering
Edge AI Accelerators
Deploying complex neural networks on the edge. The ECC23 architecture leverages dedicated AI accelerators in low-power environments, enabling real-time inference without cloud dependency.
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Hardware Acceleration
Optimized Silicon for AI Workloads
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Low-Power Optimization
Sub-watt inference performance
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‍ECC23
Intelligence at the Edge
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Case Study: Innosuisse-supported

Success Story:
Ultra-Low-Power Edge AI
This project revolutionized real-time image processing for battery-powered IoT devices, successfully migrating high-demand computations from power-hungry GPU systems to sub-watt embedded environments. This foundational architecture serves as a scalable blueprint for next-generation autonomous monitoring systems, allowing for further integration of multi-modal sensor fusion and enhanced edge-learning capabilities.
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Technical Challenge
Reducing power requirements from 125W (standard GPU) to sub-watt embedded hardware without sacrificing performance. This foundational architecture serves as a scalable blueprint for next-generation autonomous monitoring systems, allowing for further integration of multi-modal sensor fusion and enhanced edge-learning capabilities.
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Technical Solution
Embedded CNN hardware acceleration with 8-bit quantization—delivering a 4x smaller model and 1.5-4x faster processing. This foundational architecture serves as a scalable blueprint for next-generation autonomous monitoring systems, allowing for further integration of multi-modal sensor fusion and enhanced edge-learning capabilities.

~70mW

Inference Power

>3 Years

Life (AA Cells)

30 FPS

Real-time Perf

4X

Model Reduction
Real-time Perf
Object Recognition
Industrial Monitoring

0.1mm

Component Precision

Core Competency
Hardware Engineering
& PCB Design
We don't just design boards; we engineer systems. Our hardware team specializes in ultra-low power architectures and high-speed signal integrity for industrial-grade applications.
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Micro-Form Factor
Advanced HDI stackups for wearables and space-constrained enclosures.
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Thermal Management
Passive and active cooling solutions for high-performance processing units.

EMS: Scalable Manufacturing

01
Prototyping
Rapid iteration for Proof of Concept (PoC). From schematic capture to first-article assembly in record time.
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02
Mass Production
ISO-certified production lines capable of handling high-mix low-volume (HMLV) to large scale industrial runs.
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03
Quality Control
Automated Optical Inspection (AOI) and X-ray analysis to ensure zero-defect output for mission-critical hardware.
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