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Edge Pulsar
Services & Capabilities

Chip-to-Edge
Technical Advisor & Builder

Strategic advisory and hands-on implementation—from silicon selection to cloud integration.

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IoT CoreNear EdgeFar EdgeTech Stack
Embedded Systems

IoT Core Device Edge

Accelerate device launches with validated chip-to-cloud patterns. Pre-qualified silicon choices, production-ready BSP kits, and secure boot frameworks—eliminate trial-and-error and ship faster.

Pre-validated silicon: ARM Cortex-M, RISC-V, NXP, STM32—no guesswork
Production-ready BSP: Zephyr RTOS, secure boot, OTA patterns included
Real battery life: Low-power optimization that delivers datasheet promises
CRA compliance: Security by design, not bolted on

Key Outcomes

Faster path to mass production
Production-ready from day one with secure, compliant architecture
IoT Core
Edge Computing

Near Edge Local Edge

Silicon-optimized edge platforms that extract full NPU/GPU potential. Run real-time AI (30fps object detection) on industrial gateways while bridging MQTT, OPC-UA, and Modbus—IEC 62443 and NIS2 compliant from day one.

Hardware acceleration unlocked: NPU/GPU drivers for 10x faster AI inference
Real-time edge AI: Object detection (YOLO, MobileNet) on industrial-grade hardware
Protocol bridging: MQTT, OPC-UA, Modbus—unified data fabric
Industrial hardening: IEC 62443 & NIS2 via secure Linux (Yocto)

Key Outcomes

Correct hardware topology selected first time
Compliance-ready architectures reducing project risk
Near Edge
Cloud Integration

Far Edge Cloud Edge

Connect silicon to cloud with pre-validated reference architectures. AWS IoT Core and OVHcloud integrations ready to deploy—no custom middleware, no protocol guessing, no vendor finger-pointing.

Reference architectures: Chip-optimized patterns validated from silicon to cloud
Pre-integrated cloud connectors: AWS IoT Core, OVHcloud—ready to deploy
Secure device onboarding: Zero-trust patterns with TPM, secure enclaves
OTA foundations: Firmware update frameworks built in, not bolted on

Key Outcomes

Connect devices in weeks, not months
No custom middleware or protocol integration overhead
Far Edge
Industry Applications

These Patterns, Applied to Your Industry

From semiconductors to smart infrastructure, we translate chip-to-cloud expertise into industry-specific solutions. See how our approach solves real-world challenges.

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Production-Grade Tech Stack

Production-proven technologies across every edge layer.

Embedded Platforms

Silicon foundations for IoT, edge AI, and industrial applications.

ARM Cortex-M/A
RISC-V
Tensilica
Low-Power SoCs
Edge AI Accelerators
DSP

Wireless Connectivity

Short-range and mesh protocols for local device communication.

Wi-Fi
Bluetooth
BLE
UWB
Matter / Thread
Zigbee

Cellular IoT

Global wide-area connectivity with carrier pre-certification.

LTE-M / NB-IoT
5G RedCap
LoRaWAN
eSIM / iSIM

Signal Processing

Real-time DSP algorithms for audio, sensor fusion, and communications.

Algorithms
Audio Processing
Sensor Fusion
Fixed/Floating Point
CMSIS-DSP

Security & Compliance

Zero-trust architecture with hardware-backed security and regulatory compliance.

Secure Boot
TLS
Hardware RoT/TPM 2.0
CRA Compliance
NIS2 Framework
IEC 62443

Edge AI & Data

Real-time inference and time-series processing at the edge to reduce cloud costs.

Edge Impulse
TensorFlow
PyTorch
NumPy / Pandas
ONNX

Near Edge Stack

Gateway, Performance, AI, Connectivity. Hardware-accelerated edge platforms for industrial sites.

Yocto/Buildroot
NXP i.MX/Jetson
Docker/K3s
TensorFlow Lite
ONNX Runtime
OPC-UA/Modbus
MQTT/CoAP
Mender.io OTA

Far Edge Stack

Platform, Scale, Data Management. Cloud-native infrastructure for connected ecosystems.

AWS IoT Core
OVHcloud
Terraform/Helm
Kafka/RabbitMQ
InfluxDB/Grafana
HAProxy
Thingsboard
Python
C/C++
LwM2M/gRPC

How we build matters as much as what we deliver.

Our Four Pillars Framework delivers secure, scalable solutions with engineering discipline at every layer.

Explore Our Methodology

Start with a solid foundation.

Avoid the technical debt that kills IoT projects. Let's build it right the first time.

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