SERVICES · AX

From learning AI
to changing how you work

We assess where you stand today, help your people learn AI inside their actual work, and turn the resulting tasks into systems. One team owns the whole AX journey so training, build, and operations never come apart.

CLIENTS

  • CJ Logistics
  • Meritz Fire & Marine
  • Public institution
  • Samsung Research
  • ASICLAND

THREE BARRIERS

Why most AX programmes stall

  1. 01The adoption barrier
    Problem

    Most efforts stop at the PoC

    The demo works, but it never reaches the people doing the job.

    How we work

    We contract on operational metrics such as response latency, citation coverage, and audit logging. Systems built this way are running today in enterprise, financial, and public sector environments.

  2. 02The execution barrier
    Problem

    Buying a platform locks you into a vendor

    Your data and your processes accumulate on somebody else's platform.

    How we work

    Code and ontology transfer to you as your own assets. We stay on as an operations partner, not as a gatekeeper.

  3. 03The operations barrier
    Problem

    Security review blocks the project

    Organisations that cannot send data outside their perimeter never get to start.

    How we work

    We deploy the same codebase to VPC, on-premise, and air-gapped environments. Your data never leaves your security boundary.

MATURITY MODEL

Knowing where you stand makes the next investment obvious

The question is not whether you bought a tool. It is how far recording, usage, execution, and operations are actually connected, across six stages.

  1. 01Digital record

    Work leaves data behind

  2. 02AI assistance

    Individuals use AI tools

  3. 03AI embedded

    AI is part of the role standard

  4. 04AI execution

    Systems carry out the task

  5. 05AI orchestration

    Multiple agents collaborate

  6. 06Autonomous operation

    Measurement and improvement run in a loop

A diagnosis is not a report. It decides what you do next

  1. CURRENTCurrent

    The real state of work and data

  2. GAPGap

    The technical and organisational conditions in the way

  3. TARGETTarget

    The operating level to reach

  4. NEXTNext

    Training, PoC, and build tasks to start immediately

AX JOURNEY

A four-stage journey

Each of the four stages can be contracted on its own, and if you hand us all four, one team carries it through. The people who run the diagnosis build it, and the people who build it operate it.

  1. 01Discover

    Diagnosis and consulting

    We start with something that runs, not a pitch

    We assess your workflows and data, build a prioritised roadmap, and show you a PoC running on your own data. You decide on adoption after seeing it work.

  2. 02Enable

    Training

    We move the way you work, not just which tool you click

    We run on AI ourselves, from our internal knowledge base to our development pipeline. We assess your organisation and roles, then translate that way of working into a curriculum built around your tasks.

  3. 03Build

    Build

    We do not bolt AI on. We build the whole system

    Web, mobile, backend, data pipelines, and AI are handled by one team. We assemble on top of a standard process and proven code assets, and the code transfers to you in full.

  4. 04Operate

    Operations

    Launch is the beginning, not the finish line

    We stabilise through hypercare, then move to a monthly operations subscription. Model upgrades, quality review, and audit reporting keep the system improving.

Diagnosis alone or training alone both work. Start from the stage that matches where you are now.

Find the right starting point

AX PLATFORM

Not a single AI, but the four layers that operations actually need

Data and knowledge, the AI runtime, shared platform services, and business applications are connected as one structure. That is why the systems keep running even when the model changes.

  • Code transfers to you
  • Integrates with existing systems
  • Deployed inside your security boundary
  • Improved continuously against operational metrics
  1. 01 · DATA & KNOWLEDGE

    Data and knowledge structure

    Documents, operational data, and relationships are organised into a form that can be searched and reasoned over.

    • Knowledge base
    • Ontology
    • Permissions and provenance
  2. 02 · AI RUNTIME

    AI runtime

    Models, agents, and storage are configured for your environment and kept replaceable.

    • Model routing
    • Agent execution
    • VPC and on-premise
  3. 03 · PLATFORM SERVICES

    Shared platform services

    Authentication, observability, cost, and quality evaluation: the shared capabilities every AI workload needs.

    • Unified authentication
    • Quality evaluation
    • Log and cost observability
  4. 04 · BUSINESS APPLICATION

    Business applications

    AI is wired into web, mobile, and back office so it becomes a product people use every day.

    • Web and mobile
    • Back office
    • Workflow automation

PROOF

Numbers and cases

  • 40+

    Projects delivered

  • 50+

    Engagements won

  • 0%

    Work subcontracted

  • Every sector

    Live in enterprise, finance, and public sector

A team out of Kakao, Naver, and Coupang handles everything from planning to operations.

  • Venture business certification2026.06
  • Corporate R&D centre2026.03
  • Core technology patent filed

자주 묻는 질문

NEXT STEP

Your next AX initiative
can start with training

Tell us where your workflows and data stand today and we will propose the fastest starting point across diagnosis, training, build, and operations.