Accepting New Projects for 2026

Engineering High-Performance
Embedded, AI & Trading Systems

We build reliable Embedded platforms, production-ready AI pipelines, and low-latency Trading infrastructure. From firmware and drivers to inference and execution engines, every layer is engineered for scale.

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YOCTO QNX C++17 RUST AUTOSAR YOCTO QNX C++17 RUST AUTOSAR YOCTO QNX C++17 RUST AUTOSAR
Under The Hood

We Speak Your Hardware’s Language

From bare-metal silicon to cloud connectivity, our engineering stack is built for industrial-grade reliability.

Silicon

  • NXP i.MX 6/8 Series
  • NVIDIA Jetson (Nano/Xavier)
  • STM32 (F4/F7/H7/MP1)
  • TI Sitara AM335x/AM6x
  • Raspberry Pi CM4/5
  • Nordic nRF52/53

OS & Kernel

  • Yocto (Kirkstone/Scarthgap)
  • Linux Kernel v5.15 – v6.6
  • QNX Neutrino RTOS
  • FreeRTOS / Zephyr
  • U-Boot Customization
  • Secure Boot & HAB

Protocols

  • CAN / CAN-FD / J1939
  • Ethernet AVB / TSN
  • MQTT / CoAP / DDS
  • Modbus TCP/RTU
  • I2C / SPI / UART / RS485
  • USB (Gadget/Host)

Toolchain

  • C/C++ (14/17/20) & Rust
  • CMake / Meson / Ninja
  • Docker & Containers
  • GitLab CI / Jenkins
  • GDB / Valgrind / Perf
  • Saleae Logic / Scope
Our Expertise

Deep Tech Solutions for Embedded, AI & Trading

One engineering partner for device-level Embedded software, applied AI systems, and resilient Trading platforms.

BSP & OS Engineering

We build custom Linux distributions (Yocto/Buildroot) tailored to your hardware.

  • Fast Boot Optimization
  • Kernel Patching
  • OTA Update Systems

Low-Level Drivers

Developing and backporting drivers for complex peripherals on Linux and RTOS.

  • Camera (V4L2) & Audio
  • Connectivity (WiFi/BT/GNSS)
  • Legacy Code Modernization

AI & Trading Systems

We develop AI-enabled Trading systems, from strategy logic and data pipelines to execution performance tuning.

  • Python Quant Strategies
  • TinyML Implementation
  • Performance Tuning
Delivery Process

How We Work

A clear, engineering-first workflow designed to de-risk embedded projects and deliver on time.

1

Discovery & Scope

Align goals, constraints, timelines, and risk. NDA available. Output: SOW + SRS draft.

2

Design & Plan

Architecture, interfaces, test strategy, and milestones. Output: Tech spec + sprint plan.

3

Build & Validate

Weekly demos, CI, code review, and hardware testing. Output: working increments + reports.

4

Deliver & Support

Source handover, documentation, and knowledge transfer. Warranty & support available.

Secure by Default

NDA, access control, and repo-based collaboration from day one.

Weekly Visibility

Demos, progress updates, and clear blockers – no surprises.

Tested on Real Hardware

Validation on boards/lab setup or via remote SSH/VPN workflow.

Featured Projects

Real results for real clients.

Warning: Only customers can access Github source.

IPL machine for hair reduction and skin rejuvenation
Beauty Tech IPL Platform

IPL Machine

Advanced IPL platform designed for high-throughput aesthetic treatments, combining SHR capability, thermo-electric cooling, and 2400W power delivery for faster, more comfortable sessions across hair reduction and skin rejuvenation workflows.

IPL SHR TEC Cooling 2400W Skin Rejuvenation
View on GitHub
AI-powered traffic flow optimization system using CNN and LSTM
Smart City Deep Learning

AI Traffic Flow Optimization System

Designed an intelligent traffic optimization system that combines spatial analysis and time-series forecasting to improve congestion prediction, support adaptive traffic control, and enable smarter urban mobility planning.

CNN LSTM Traffic Forecasting Smart City AI
View on GitHub
Dynamic Voltage and Frequency Scaling system on QNX for Raspberry pi
Embedded Systems Power Optimization

DVFS Framework on QNX for Raspberry Pi

Engineered a Dynamic Voltage and Frequency Scaling framework on QNX for the Raspberry Pi, enabling smarter power-performance balancing for embedded workloads. The system was designed to improve runtime efficiency, thermal behavior, and low-level platform control in automotive-grade environments.

QNX Raspberry pi DVFS Power Management Embedded C
View on GitHub
Algorithmic crypto trading bot with real-time execution, backtesting and risk management
Quant Trading Trading System

Real-Time Crypto Trading Bot

Built a live algorithmic crypto trading platform with real-time signal execution, vectorized backtesting, and risk-managed automation for production-grade quant workflows.

Python Binance API Backtesting Signal Automation
View on GitHub
Secure blockchain-based OTA firmware update system for IoT devices
IoT Security OTA Platform

Blockchain-Based OTA Update System

Built a secure OTA firmware platform combining blockchain, IPFS, and MQTT for verifiable delivery, integrity protection, and reliable update management across distributed IoT devices.

Blockchain IPFS MQTT STM32 ESP8266
View on GitHub
Embedded face tracking system with MATLAB simulation and Raspberry Pi deployment
Computer Vision AI Prototype

Smart Face Tracking System

Designed an embedded vision system that combines MATLAB-based algorithm simulation with Raspberry Pi deployment for real-time face recognition and intelligent target tracking.

MATLAB Raspberry Pi OpenCV Python Face Tracking
View on GitHub
Computer vision vehicle counting system for highways and toll stations
Computer Vision Traffic Analytics

Multi-Lane Vehicle Counting System

Developed a video-based traffic analytics system that detects, tracks, and counts vehicles across multiple lanes using OpenCV. The solution combines background subtraction, contour analysis, object tracking, and lane-aware counting logic to support highway monitoring, toll station analytics, and real-time traffic flow supervision.

OpenCV Python Object Tracking Traffic Vision Lane Counting
View on GitHub
Why V-core

Why Global Tech Teams Choose V-core Techno

Tell us about your hardware, goals, and timeline. We will get back to you quickly. reliability, speed, and clean handover – so your Embedded, AI, and Trading product ships with confidence.

Weekly
Progress Demos
< 12h
Response Time
Repo
Transparency
HW
Real Testing

IP & Security First

NDA-ready. Principle of least privilege. Clean separation of customer code, build artifacts, and credentials. Your IP stays yours – always.

Embedded Specialists, Not Generalists

BSP/Yocto, kernel bring-up, boot time, drivers, RTOS, connectivity stacks – deep focus on the hard parts where most projects slip.

Engineering Process You Can Audit

CI-ready repos, code reviews, test reports, changelogs, and reproducible builds. No “black box” delivery – you see progress every week.

Global Collaboration, Vietnam Efficiency

Vietnam-based cost advantage with global-quality engineering. Overlap hours available for US/EU/APAC teams.

Talk to an Engineer See Case Studies

Frequently Asked Questions

Fast answers
How do we start and what do you need from us?

A short call + basic device context (SoC/board, OS, goals, constraints). We can sign NDA first. After discovery, we deliver an initial scope (SOW) and sprint plan.

Do you work with startups and tight budgets?

Yes. We offer flexible engagement models (hourly, fixed-scope, or milestone-based) and can prioritize “must-have” features to reach MVP faster.

How do you ensure quality on embedded projects?

CI + code review + hardware validation. We provide changelogs, test notes, and reproducible build steps. You get deliverables you can maintain long-term.

How do you handle hardware if we’re overseas?

Either ship a dev board to our lab in Vietnam, or grant remote access via SSH/VPN to your setup. We can work with both approaches securely.

What do we receive at delivery?

Full source code, documentation, build instructions, and knowledge transfer. Optional support/warranty period depending on engagement.

Contact Us

Tell us about your hardware, goals, and timeline. We will get back to you quickly.

LinkedIn

Typical response time: < 12 Hours.