MADEITUP
AI Agent Platform · TRAG

The next chapter of trustworthy AI Agents.

Field notes from MADEITUP — a full-stack AI company building and operating its own AI Agent platform, TRAG.

  • 01 End-to-end We own the model, the infrastructure, and the product.
  • 02 Production-grade Only agents that ship into real operations.
  • 03 Audit-ready Accuracy, compliance, and auditability by default.
ABOUT

A full-stack AI company that makes AI actually work.

MADEITUP is a full-stack AI company that owns LLM development, AI Agent development, AI Fintech, and AI Consulting end-to-end. We build and operate the model, the infrastructure, and the product ourselves.

— Our core capabilities
01 · Foundation

Models

In-house LLMs and foundation models, trained, tuned, and evaluated for your domain.

  • tuning
  • eval
  • alignment
02 · Workflow

Agents

Production-grade AI agents that combine your data, tools, and policies into one flow.

  • tools
  • memory
  • policies
03 · Reliability

Operations

Operations engineered for accuracy, compliance, and full auditability.

  • logs
  • traces
  • evals

Beyond shallow integrations of external models, we take a full-stack approach — going deep into each industry and domain. Our job is to turn AI from a demo into an operational system.

Accuracy, compliance, and auditability are defaults — and in domains like finance where accuracy is non-negotiable, we deliver verified solutions and consulting. A young, proactive team setting the new standard.

“AI doesn’t run on models alone. Real value emerges only when data, tools, and policies become an operational system.”

— How we operate AI

Retrieval, reasoning, and execution as one flow — every step measured, logged, and verifiable in production.

  1. STEP 01

    Retrieve

    Pull grounded evidence from your data. Semantic search plus precision matching produces a context with clear provenance.

  2. STEP 02

    Reason

    The LLM performs step-by-step reasoning over the retrieved context. Every step is logged for verification.

  3. STEP 03

    Execute

    Safe execution through tools and policies, with automatic verification. Every action is shipped with an audit trail.

INDEX

A field of solutions.

From LLMs to operations — six chapters covering the full lifecycle of an AI Agent.

01 In-house product

TRAG Platform

Our in-house AI Agent platform unifying retrieval, reasoning, and execution into one dependable flow.

02 Model layer

LLM Development

Domain-specific LLM training, fine-tuning, and evaluation — built and operated in-house.

03 Workflow layer

AI Agent Development

Production-grade agents for real business workflows, combining your data, tools, and policies.

04 Domain solution

AI Fintech

Financial AI for risk, compliance, and automation — engineered for accuracy and full auditability.

05 Advisory

AI Consulting

Strategy, PoC design, and operational governance for organizations adopting AI at scale.

06 Retrieval layer

RAG Infrastructure

The retrieval layer at the core of TRAG — accurate, fast, and grounded in your own data.

DISTRIBUTION

Our partners.

Building the future of AI Agents together with trusted partners.

  • TAAPI
  • Northstack
  • Halfpenny
  • Loopcraft
  • Vergeworks
  • Quanto Labs
  • Lattice Group
  • Octaforge
  • Finlytic
  • Northwave
CORRESPONDENCE

Write to us.

For AI Agent adoption, TRAG platform onboarding, or consulting inquiries — reach out below. We respond quickly.

Send a letter
Address
#920, 651 Olympic-ro, Gangdong-gu, Seoul, Republic of Korea