zaramTech AB

From silicon to cloud — one engineering partner.

Embedded Systems, Firmware, HIL/SIL automotive test rigs, on-device edge AI, Robotics, Machine Learning, and full-stack software — one partner across the whole path, from bare-metal to cloud.

  1. Embedded
  2. Machine Learning
  3. Robotics
  4. Firmware
  5. RTOS
  6. CAN / TSN
  7. HIL / SIL
  8. Edge AI
  9. IoT
  10. Cloud
  11. Embedded, Machine Learning, and AI Security
Book a callSee case studies

Services

One partner across the whole path, from silicon to cloud.

  • Embedded & Firmware

    Board bring-up to production firmware on constrained hardware.

    • C/C++
    • Python
    • Embedded Linux
    • BSP / Drivers

  • Automotive Test

    HIL/SIL rigs that validate ECUs before they ship.

    • HIL/SIL
    • NI VeriStand
    • TwinCAT
    • Aliaro SIL

  • Edge AI / TinyML

    Quantized computer vision that runs on-device, not in the cloud.

    • PyTorch
    • TFLite Micro
    • YOLOv8
    • Quantization

  • Vehicle Networking

    Reliable, real-time communication between ECUs and sensors.

    • CAN / CAN FD
    • LIN
    • SPI / I2C / UART
    • TSN

  • IoT & Connectivity

    Fleet-scale connected devices with secure, resilient telemetry from edge to cloud.

    • MQTT
    • BLE 5.2 / Wi-Fi
    • LoRaWAN
    • 4G / LTE

  • AI/ML & Computer Vision

    Deep-learning models and computer vision, from research to deployment.

    • Python
    • Deep Learning
    • YOLO
    • PyTorch

  • Web & Full-Stack Development

    Responsive web apps and APIs — the full front-to-back software layer.

    • React / Next.js
    • C# / GUIs
    • Python
    • REST APIs

  • CI/CD & Test Automation

    Automated pipelines and regression testing that keep releases reliable.

    • CI/CD Pipelines
    • Git
    • Regression Testing
    • Test Automation

  • Data Annotation & Labeling

    High-quality labeled datasets for training and validating ML models.

    • Image Labeling
    • Bounding Boxes
    • Segmentation
    • Datasets

  • Security & Cybersecurity

    Embedded, ML/AI, and cyber security — hardening devices, models, and systems end to end.

    • Embedded Security
    • Secure Boot
    • ML/AI Security
    • Cybersecurity

  • Technical Consultancy

    Architecture, feasibility, and hands-on guidance across the hardware-to-cloud stack.

    • Architecture
    • Feasibility
    • Code Review
    • Mentoring

How we work

A clear, low-friction path from first conversation to handover.

  1. 1

    Discovery

    A short call to understand the problem, constraints, and what success looks like.

  2. 2

    Scoping

    A written proposal with milestones, timeline, and a clear budget — project-based, retainer, or hourly.

  3. 3

    Build

    Iterative delivery with regular check-ins, working demos, and code you can review as we go.

  4. 4

    Handover

    Documentation, source, and a walkthrough so your team can own and extend the work.

Case studies

Anonymized proof, problem, approach, and the result that mattered.

  • Edge AI

    On-device detection with instant alerting

    Problem
    A client needed real-time object detection on a low-cost, battery-friendly camera — without streaming video to the cloud.
    Approach
    Deployed a quantized YOLOv8n model on an ESP32-CAM, publishing detections over MQTT for immediate alerting.
    Result
    Sub-second on-device alerts with no cloud video costs and a fraction of the bandwidth.
  • Computer Vision

    Detection tuned for Nordic winter conditions

    Problem
    Vehicles had to be detected reliably in heavy snow and low light, where off-the-shelf models degrade sharply.
    Approach
    Benchmarked and tuned detection models against a Nordic winter dataset, measuring the accuracy-vs-latency trade-off.
    Result
    Identified the best accuracy/latency configuration for deployment on constrained hardware.
  • Vehicle Networking

    Deterministic real-time pipeline over TSN + 4G

    Problem
    A system needed low-latency, deterministic data transport across in-vehicle and remote links.
    Approach
    Integrated Time-Sensitive Networking (TSN) with a 4G uplink for synchronized, real-time telemetry.
    Result
    Deterministic in-vehicle timing with reliable remote streaming to the cloud.
  • IoT

    Secure device-to-cloud telemetry for a distributed fleet

    Problem
    A fleet of field devices needed reliable, secure telemetry to the cloud over intermittent, low-bandwidth networks.
    Approach
    Built an MQTT-over-TLS pipeline with on-device store-and-forward buffering, provisioning, and OTA updates, streaming to a cloud IoT backend with Wi-Fi/BLE and 4G fallback.
    Result
    Encrypted telemetry that survives network dropouts and scales cleanly across the fleet.
  • Predictive AI

    Predictive maintenance for HIL test systems

    Problem
    Unexpected hardware degradation in HIL test rigs caused unplanned downtime during ADAS validation.
    Approach
    Built predictive-maintenance models on test-system telemetry to flag early degradation, integrated into existing HIL workflows.
    Result
    Earlier fault detection and reduced unplanned downtime for the test infrastructure.
  • Sensor Fusion

    Indoor localization with BLE and sensor fusion

    Problem
    Indoor positioning needed higher accuracy than signal-strength (RSSI) alone could deliver.
    Approach
    Fused BLE 5.2 RSSI fingerprinting with Angle-of-Arrival data through an ANN model.
    Result
    Improved localization accuracy across varying network and environmental conditions.
  • Automotive Test

    End-to-end HIL rig for safety-critical bus systems

    Problem
    Safety-critical vehicle systems needed automated, repeatable verification before deployment.
    Approach
    Designed and commissioned HIL rigs end-to-end — from physical build to NI VeriStand test environments and custom control GUIs.
    Result
    Automated validation aligned with automotive safety and quality standards.
  • TinyML

    Always-on TinyML sensing on a microcontroller

    Problem
    A product needed always-on recognition on a battery-powered microcontroller, with no cloud connection.
    Approach
    Trained and quantized a compact neural network, deploying it with TensorFlow Lite Micro on an ESP32 / STM32-class device.
    Result
    Real-time, offline inference within tight memory and power budgets.
  • GUI & Tooling

    Desktop GUIs for hardware control and test

    Problem
    Engineers needed a simple desktop interface to configure, control, and monitor test hardware — without touching low-level scripts.
    Approach
    Built control GUIs in C# and Python that drive the hardware over serial/CAN and visualize live data in real time.
    Result
    Faster, repeatable test setup with live control and monitoring from a single interface.
  • Firmware

    Portable bare-metal firmware across MCU families

    Problem
    A product line needed consistent low-level drivers across several microcontroller families.
    Approach
    Wrote portable C/C++ bare-metal firmware and BSP/drivers (SPI, I2C, UART, CAN) targeting STM32, ESP32, Texas Instruments, Arduino, Raspberry Pi/Pico and Odroid.
    Result
    A reusable driver layer that brings new boards up quickly with minimal rework.
  • RTOS Firmware

    Real-time firmware on FreeRTOS across microcontrollers

    Problem
    Time-critical tasks needed deterministic scheduling on constrained hardware.
    Approach
    Developed C/C++ real-time applications on FreeRTOS, deployed across STM32, ESP32, Raspberry Pico and Arduino-class devices.
    Result
    Deterministic task timing and stable long-run operation on low-power hardware.
  • Consultancy

    Architecture & code-quality advisory for an embedded team

    Problem
    A team needed independent review of their embedded software architecture and delivery process.
    Approach
    Provided architecture guidance, code reviews, and test-automation practices within their agile workflow.
    Result
    Clearer architecture, higher code quality, and a more reliable release process.

Tech stack

The tools, platforms, and frameworks behind the work.

Languages

  • C
  • C++
  • Python
  • C#
  • Structured Text (IEC 61131-3)
  • VHDL
  • JavaScript
  • SQL

Embedded & RTOS

  • FreeRTOS
  • MicroC/OS-II
  • Rubus RTOS
  • Bare-metal
  • BSP / Drivers
  • Embedded Linux
  • PLCs

Hardware

  • STM32
  • ESP32
  • Texas Instruments
  • Arduino
  • Raspberry Pi
  • Raspberry Pico
  • Odroid

Protocols & Networking

  • CAN / CAN FD
  • SPI / I2C / UART
  • TSN
  • BLE 5.2
  • 4G
  • EtherCAT
  • Modbus
  • Ethernet / TCP/IP

IoT & Connectivity

  • MQTT
  • AWS IoT
  • GCP IoT Core
  • LoRaWAN
  • OTA Updates
  • Device Telemetry

Security

  • Embedded Security
  • Secure Boot
  • ML/AI Security
  • Cybersecurity
  • TLS / Encryption
  • Threat Modeling
  • Penetration Testing

Test & Tooling

  • HIL / SIL
  • NI VeriStand
  • TwinCAT
  • Aliaro SIL
  • Test Automation
  • CI/CD
  • Git

AI / ML

  • PyTorch
  • TensorFlow
  • Keras
  • OpenCV
  • TFLite Micro
  • YOLO
  • Edge AI / TinyML

Cloud & Web

  • Google Cloud
  • React / Next.js
  • REST APIs
  • HTML / CSS / JS

About

zaramTech AB is a boutique engineering consultancy spanning the full path from silicon to cloud — embedded firmware, HIL/SIL automotive test, on-device edge AI, and full-stack software.

Behind it is 10+ years designing, integrating, and validating embedded and automotive software — building Hardware-in-the-Loop rigs end-to-end and the automated test infrastructure (NI VeriStand, TwinCAT, and Aliaro SIL) that validates safety-critical vehicle systems.

That deep firmware, RTOS, and vehicle-networking background is paired with applied AI/ML research — including a quantized YOLOv8n detector deployed on an ESP32-CAM via TFLite Micro for real-time, offline, on-device detection.

Credibility

  • 10+ years in embedded & automotive
  • HIL/SIL automotive test engineering
  • Applied AI & edge ML expertise
  • Sweden-based · serving Europe & North America

Let's talk about your project

Embedded development, AI, Machine Learning, Robotics, HIL/SIL, edge AI, or full-stack — tell us what you're building and we'll get back to you.

contact@zaramtech.comLinkedIn