AI SOLUTION
smarter and newer
We are creating the world
DEVICE
AI
CLOUD
MLOps

AIoT
Orchestration
Platform

DEVICE AI CLOUD MLOps

Edge Device, On-Device AI, Cloud, MLOps

Analyze data from industrial sites in real time by connecting them as one,

Expanding into operational automation and decision-making advancement

AIoT Orchestration Platform no see.

AIoT Orchestration Platform

Brycen Korea’s AIoT integrated platform
Data continues to accumulate in the field.
It is actually difficult to use it right away.
Brycen Korea’s AIoT integrated platform is

Edge Device and on-device AI are applied so that analysis can be done on-site, and the speed of real-time response is increased by making decisions on-site first before sending all data to the central server.

The AI ​​model was developed,
It is difficult to deploy and manage in an actual operating environment.
Brycen Korea’s AIoT integrated platform is

The cloud-based MLOps system connects model deployment, version management, performance monitoring, and retraining.

We support AI models so that they do not remain in the development stage but become services that can be operated sustainably.

Equipment, sensors, cameras, and systems all move separately.
Brycen Korea’s AIoT integrated platform is

Integrate distributed equipment and systems through Devixe Management and API connection.

From field devices to AI models, clouds, and operating systems, you can manage everything in one structure.

As video and sensor data increases, I am concerned about processing speed and server load.
Brycen Korea’s AIoT integrated platform is

Apply a high-capacity traffic processing architecture suitable for AI services.

By distributing the roles of Edge and Cloud, it provides stable processing performance even in large-scale data environments.

PoC was possible, but
It gets stuck at the stage of expanding into an actual commercial service.
Brycen Korea’s AIoT integrated platform is

We design an Edge-Cloud integration structure considering commercialization from the PoC stage.

Starting from a single on-site verification, we provide a foundation that can be expanded to multiple equipment, branches, and services.

Multi-Layer architecture & MLOps pipeline

Designed to solve real-world problems in every industry.
MLOps images MLOps images

End-to-end development capabilities

An AIoT platform is not complete with a single technology alone.
Hardware that collects field data, on-device AI that runs AI within the device, MLOps that continuously operates models, and IT Service Architecture that handles web and app services and large traffic must be organically connected.
  • On-device AI

    From hardware development to device
    AI model optimization, in edge environment
    Implement AI that actually works.

  • AIOps (AI + MLOps)

    It does not end with AI model development,
    Deploy, manage and improve models
    We even build an MLOps system.

  • AI friendly high throughput
    IT Service Architecture

    From web and app services to backend systems
    Design a structure suitable for AI services.

Brycen Korea Has the ability to develop each layer independentlyI am doing it,
Modular architecture ensures stability, customization capabilities, and seamless integration with a variety of hardware environmentsdo.