BonsaiBONSAI

Embedded Linux development for manufacturing and infrastructure

We design and develop embedded systems that run 24/7 in real-world conditions:

  • IoT devices
  • edge AI
  • terminals
  • distributed devices
  • industrial controllers
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Embedded systems
From our projects
Client pain points
01

Unstable device operation

Overheating, memory leaks, hanging services, and power consumption issues cause failures once the device network scales.

02

No management infrastructure

Without OTA, telemetry, and centralized monitoring, device support becomes a manual process.

03

Unstable hardware and supply

Components change faster than the software lifecycle, so devices have to be adapted to new hardware.

04

A gap between hardware and software

Most contractors build either the device or the backend. As a result, the system is never designed as a single infrastructure.

05

Not built for real-world deployment

Many solutions ignore unreliable connectivity, physical constraints, vibration, thermal stress, and the distributed nature of device networks.

¶ What we do04 areas

Systems we design

We build infrastructure systems, not standalone devices.

Intelligent embedded devices
01 / 04

Intelligent embedded devices

We develop embedded Linux systems, controllers, edge AI devices, and intelligent terminals for continuous operation in real-world environments.

  • Linux environment
  • firmware
  • peripheral interfacing
  • networking logic
  • updates & diagnostics
Distributed device infrastructure
02 / 04

Distributed device infrastructure

We build backend infrastructure for managing distributed device networks. The system is designed for scaling and fault tolerance.

  • telemetry
  • OTA
  • device registry
  • monitoring
  • remote diagnostics
  • role-based control panels
Industrial IoT & equipment integration
03 / 04

Industrial IoT & equipment integration

We develop industrial automation and equipment integration systems.

  • IoT gateways
  • data acquisition systems
  • embedded API
  • ERP/MES integration
  • industrial interfaces
Edge AI & local analytics
04 / 04

Edge AI & local analytics

We run AI models directly on embedded devices.

  • computer vision
  • defect detection
  • multimodal AI
  • edge inference
  • local analytics
¶ Tech stackArchitecture
Embedded Systems
STM32, ESP32, ARM, Raspberry Pi
Linux
Yocto, Buildroot, Debian-based systems
Connectivity
MQTT, BLE, UART, Modbus, CAN
Backend Infrastructure
Go, Python, PostgreSQL, REST API
AI / CV
PyTorch, TensorFlow, OpenCV
CAD / Engineering
Fusion 360 API, CAD automation
¶ How we work06 steps

Infrastructure-Ready Engineering

  1. 01Stage

    Engineering audit

    We study environment, hardware, and infrastructure constraints.

  2. 02Stage

    R&D and prototyping

    We validate hypotheses and test critical components.

  3. 03Stage

    System development

    We design hardware, firmware, and backend as a single architecture.

  4. 04Stage

    Stress-testing

    We test the system under load and in real-world scenarios.

  5. 05Stage

    Deployment

    We deploy the system and connect the device network.

  6. 06Stage

    Support & scaling

    We provide ongoing support, telemetry, and updates.

¶ Who it’s forWhere our systems are used

Urban infrastructure

Terminals, transit, city services

Manufacturing

IoT, automation, production systems

Robotics

Embedded control systems

Smart infrastructure

Intelligent devices and networks

¶ Why BonsaiWhy engineering teams work with us
01

Hardware + Software

We design devices and infrastructure as a single system.

02

Real-world engineering

We build for physical environments and 24/7 operation.

03

Distributed systems expertise

We understand device network architecture and distributed deployment.

04

Infrastructure-first approach

We plan for scaling and support first — then we build.

Get an engineering assessment of your project

We’ll run a technical audit of your project:

  • —assess the architecture
  • —identify constraints
  • —prepare a roadmap
  • —estimate cost and timeline