The Future of RTOS in Automotive
How modern real-time operating systems are enabling autonomous driving features and safety through deterministic task scheduling.
We architect high-performance embedded systems, secure cloud infrastructure, and AIoT solutions. From custom PCB design to enterprise-scale deployment.
Architects of the Connected World.
At AEI Design Solutions, we are more than engineering consultants; we are the strategic bridge between silicon and the cloud. In an era where hardware is commoditized and software is complex, we provide the critical expertise to unify them into resilient, market-ready products.
Our mission is to empower businesses to navigate the "Hardware-Software Gap." We don't just write firmware; we engineer system reliability. Our team leverages cutting-edge platforms—from STM32 and Nvidia Jetson to AWS Cloud Services and Docker—to help businesses transform their vision into intelligent reality. We build systems that are not just smart, but safe, compliant (ISO 26262, IEC 62304), and built to last.
Empowering businesses with next-generation technology for a competitive edge in the digital era.
Beyond core engineering, we guide organizations through every stage of the product lifecycle—from architecture and prototyping to validation, certification, and deployment—ensuring solutions are robust, maintainable, and ready to scale. Whether modernizing legacy systems, launching connected products, or building AI-driven edge capabilities, AEI Design Solutions delivers technical leadership that aligns innovation with business outcomes.
We design robust, industrial-grade firmware and hardware tailored for performance and longevity. Our expertise includes Bare-metal for ultra-low power applications, Embedded Linux (Yocto/Buildroot) for complex gateways and Edge AI, and RTOS applications (FreeRTOS, Zephyr) ensuring deterministic behavior for mission-critical tasks.
We specialize in power optimization (sub-µA standby), secure boot implementation, and custom PCB design tailored to your mechanical constraints.
Deploying advanced edge intelligence using Neural Networks (CNN/RNN). We implement Sensor Fusion, Computer Vision, and Anomaly Detection directly on microcontrollers using TensorFlow Lite for Microcontrollers and Edge Impulse. This reduces latency and bandwidth costs by processing data locally.
Predictive Maintenance, Vision AI, Smart Sensing
Building scalable, serverless architectures using AWS IoT Core and Greengrass V2. We utilize Docker for containerized edge workloads, S3 for data lakes, EC2 for compute, and implement granular IAM policies for enterprise-grade security.
Lambda, DynamoDB, API Gateway, Docker, S3, RDS
Implementing Infrastructure as Code (IaC) using Terraform and Ansible. We build automated CI/CD pipelines (Jenkins/GitHub Actions) and manage container orchestration with Docker and Kubernetes (EKS), monitored by Prometheus and Grafana.
Kubernetes, Jenkins, GitHub Actions, Ansible, Terraform
Transforming raw telemetry into actionable business insight. We architect ETL pipelines, maintain Data Lakes in S3/Snowflake, and build real-time BI dashboards using Spark, Apache Kafka, and Tableau/Quicksight to visualize critical metrics.
Snowflake, Hadoop, Spark, BigQuery, Kafka
Accelerating hardware development with in-house FDM and SLA 3D printers. We offer functional prototyping, enclosure design, material selection (ABS, PLA, Resin, Nylon), and small-batch production services to validate mechanical fit.
Design for Manufacturing (DFM), Enclosures, Custom Parts
Assurance including Automation Testing with Selenium, firmware security audits, and load testing. We perform rigorous Hardware-in-the-Loop (HIL) testing using JTAG and Oscilloscopes, plus automated testing with VectorCast.
Unit, Integration, System QA, Security, HIL
Holistic architectural design ensuring seamless interoperability between edge hardware, communication protocols, and cloud backends. We eliminate silos to create unified, scalable ecosystems that integrate legacy industrial equipment with modern cloud dashboards.
Device-to-Cloud, Legacy Migration, API Orchestration
We engineer solutions using industry-standard hardware and software ecosystems.
A robust STM32-based gateway aggregating sensor data via LoRaWAN and pushing critical metrics to AWS IoT Core over MQTT for real-time monitoring.
STM32 • AWS • MQTTHigh-performance computer vision system running on Nvidia Jetson. Utilizes TensorFlow and OpenCV for edge-based object detection and anomaly alerting.
Jetson • TensorFlow • OpenCVSelf-navigating logistics robot using Lidar and ROS 2 on embedded Linux. Handles real-time path planning and obstacle avoidance.
ROS 2 • Lidar • LinuxWireless vibration sensor node for industrial motors. Uses Edge Impulse to detect bearing faults locally and alerts maintenance teams via Zigbee.
ESP32-S3 • TinyML • ZigbeeLow-power soil monitoring station with LoRaWAN connectivity. Tracks moisture, pH, and NPK levels to optimize irrigation.
LoRaWAN • Solar Power • IoTSecure building access system using local facial recognition on edge hardware, ensuring privacy and rapid response times.
Face ID • Edge AI • SecureHow modern real-time operating systems are enabling autonomous driving features and safety through deterministic task scheduling.
Implementing Zero Trust security models for edge-to-cloud device communication using hardware roots of trust and mutual TLS.
A technical comparison of leading edge ML frameworks. We analyze model size, inference speed, and developer experience for Cortex-M devices.
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