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Qurify · Subscription AX solution

Reports that took two to three weeks,
answered with one question

Qurify is a subscription AX solution that automates office, sales, and other functional work with LLM-based agents. A Forward Deployed Engineer (FDE) brings it into your company, sets it up in about a month, and keeps adding the agents you need.

Why Qurify

Every report starts from scratch, and the data never accumulates

Without an ERP, every report means meetings and data gathering. Qurify cuts that to a single question and keeps the connected data and the know-how gained along the way inside the company.

Before

  • Two to three weeks per report

    Without an ERP, daily, weekly, and monthly reports take two to three weeks of meetings and data gathering.

  • Data that never accumulates

    The data built for each report is not kept, so every new analysis starts from scratch.

  • Know-how stays in people's heads

    How good work gets done lives with individual employees and leaves when they do.

With Qurify

  • One question, one report

    Figures and documents come together in a single answer, with evidence.

  • Accumulated in the ontology

    Connected data builds up in the ontology, so the next analysis starts on top of it.

  • Know-how becomes a company asset

    Know-how is drawn from everyday conversations into personal assets, and the best ones are rolled out company-wide.

Qurify

Agents for each job, raised to the point where people's work can be handed over

Qurify is a set of agents working on one ontology. The Ontology Agent ties the data together and handles Q&A and analysis, work agents do the jobs, and the Assetization Agent keeps the know-how from that work as company assets.

Setup

Ontology Agent

Pulls structured and unstructured data — RDBs, ERP, OneDrive — and chat data into your company's ontology, then handles Q&A and data analysis across your company's data.

Setup · Operation

Work Agents

Your FDE takes the work and business requirements you want covered and configures multiple agents for office, sales, and other functions. Teams use them by chatting.

Operation

Assetization Agent

Developed in-house by SmartMind AI. As each user works through conversations under the permission model, their know-how is turned into assets automatically.

Coming soon

Data Science Agent

Runs advanced AI modeling on the data built up in the ontology.

How the Assetization Agent builds up know-how

  1. 01

    Work by conversation

    Each user works with agents through conversation, within the permission model.

  2. 02

    Personal assets

    Know-how in those conversations becomes personal assets automatically.

  3. 03

    Self Improvement

    The assetization algorithm keeps refining assets as they are used.

  4. 04

    Promoted to global

    The best personal assets are promoted to company-wide assets.

  5. 05

    Rolled out company-wide

    Other employees use the promoted assets the same way.

Setup and subscription

Choose subscription (SaaS) or on-premise to fit your environment

SaaS

Subscription

Use Qurify on a monthly subscription after setup.

  • After about a month of setup, you move to a monthly subscription
  • Base usage is set by company size; only usage above it is added
  • Your data stays where it is; Qurify only connects to it

On-Premise

On-premise

Built for companies with strict network separation and security reviews, such as finance and the public sector.

  • Installed on your own servers or inside a closed network with no external connection
  • If external AI APIs are not allowed, Qurify runs on models hosted on your in-house GPU servers
  • Pricing and base usage are explained in consultation after we understand your installation environment

Your FDE sets up both options in the same order. FDEs are not stationed on site; they keep building agents for the work you want covered.

How setup works

  1. 01

    Setup (about a month)

    The Ontology Agent pulls RDBs, ERP, OneDrive, and chat data into an ontology. Meanwhile your FDE takes your work and business requirements and configures work agents.

  2. 02

    Use it by chat

    Once chat is ready, teams work by asking and answering. Every answer carries its evidence.

  3. 03

    Operate

    As people work, the Assetization Agent builds up know-how as assets, and your FDE keeps building agents for new work you want covered.

Setup time depends on how much data is connected and its condition. Qurify is installed where your environment requires; we have run it inside a public agency's closed network.

See the setup process

Evidence

Every answer carries its evidence, and what cannot be verified is marked as such

QurifySample screen

Question

Why did returns of Product A rise last quarter?

Answer

Most of the additional returns were orders shipped from Distribution Center B. That center switched packaging suppliers in April, which points to damage in transit as a possible cause. No record that directly shows damage is connected yet.

Evidence

  • DocPackaging supplier change notice.pdf
  • TableReturn requests (by distribution center)
  • DateEffective 2026-04-01

Verification

  • Confirmed by dataThe rise is concentrated in orders shipped from Center B
  • No data to checkWhether transit damage is the actual cause
  • Data still neededCarrier damage claims, inbound inspection records

Qurify's agents connect documents, email, spreadsheets, PDFs, and business databases where they already live, and every answer shows where its figures came from.

  • Connect scattered materials

    One question searches across sources without moving the data.

  • Answers with evidence

    Each answer shows which document passage and which data it relied on.

  • Clear verification scope

    What the data confirms, what it cannot, and what is missing are shown separately.

In production

Running inside a closed government network since May 2026

The Hongcheon County AI Civil Complaint System is installed inside the agency and runs with no external connection. The figures below were confirmed at acceptance testing.

5min

AI answer drafts pre-generated overnight (per case)

5sec

Response time for similar-case and statute search

8/8features

All 8 core features passed testing and final inspection

Explore the AI civil-service system
AI Civil Complaint System — case handler screen

Customers & partners

Enterprise

APR엑스큐어넷싸이버원TWEE골든엔지니어링MTESS

Research & Academia

한국지질자원연구원KAIST고려대학교이화여자대학교순천향대학교 구미병원

Public Sector

홍천군

Partners & Investors

더존비즈온KB증권

Let's decide which work gets an agent first

About a month of setup, then run it as a subscription or on-premise. A single task you want solved is enough to start.