We build QFactory
for the way factories work.

QFactory goes beyond production management. It connects data from existing ERP systems and shop floor equipment with workflows for sales, supply chain, product development, and manufacturing AI.

Plan your implementation
2012company established
58manufacturers and research organizations
86implementation projects
4Ministry of SMEs and Startups R&D projects

One team from site review to handover.

We begin with the documents, systems, and equipment already in use. Then we decide what belongs in QFactory, build and test the required connections, train users, and support the move into daily operation.

  1. 01

    Markets and customers

    Identify market changes and customer demand, then turn them into qualified sales opportunities.

  2. 02

    Quotes and orders

    Review expected cost, delivery dates, and production capacity before deciding whether an order can be profitable.

  3. 03

    Engineering and planning

    Turn the order into engineering data, items, bills of materials, routings, purchasing, and inventory plans.

  4. 04

    Production and quality

    Manage work orders, material issues, equipment status, production results, and inspections against the same order and production history.

  5. 05

    Delivery and cash

    Connect shipment results to revenue, cost, accounting, and cash collection.

  6. 06

    Results and the next opportunity

    Use actual delivery, cost, quality, and margin results when assessing the next opportunity and quote.

The work moves.
The record stays connected.

A customer request moves through quote, order, engineering, production, shipment, and payment. Each team can see the promise, item, material, quality, cost, and result without rebuilding the history.

Sales

Review capacity, expected cost, and cash terms together before accepting an order.

Purchasing

Consider inventory, delivery, and cash impact alongside unit price.

Production

See customer promises, quality, and margin alongside volume.

Quality

Feed defects and improvement history back into engineering, purchasing, and the next quote.

How data becomes part of an operational record

QFactory links equipment and system data to each work record. Manufacturing AI reads documents and images. People compare master-data drafts with source documents before saving them, while vision results remain linked to source images.

Business operations

Connect opportunities, quotes, orders, engineering, purchasing, inventory, production, quality, equipment, shipments, cost, and accounting records through the same order, item, process, and production history.

Equipment and system integration

Collect values from PLCs, sensors, barcodes, cameras, and robots. Attach data from ERP, MES, spreadsheets, PDFs, and external systems to the same manufacturing record.

Manufacturing AI

Draft item records, bills of materials, and routings from development requests and drawings. Use manufacturing data for visual inspection, sensor anomaly analysis, information retrieval, and report drafting.

Review and records

People compare AI-generated master-data drafts with source documents before saving them. Vision results remain linked to source images, with permissions and change history recorded.

Five steps from review to handover

We continue from the initial floor review through testing, training, and operational handover.

  1. 01

    Review the floor

    We examine the process, users, working documents, and equipment.

  2. 02

    Set the scope

    We decide what will change now and what will stay in place.

  3. 03

    Build and connect

    We configure QFactory and add the required functions and equipment connections.

  4. 04

    Test and train

    We test with real working data and train office and shop-floor users.

  5. 05

    Hand over operations

    We complete acceptance, final reporting, handover, and support.

Manufacturing technology R&D

We have developed equipment data collection, machine vision, and cloud MES technology.

Late 2010s

Manufacturing-data R&D

Developed equipment-data collection, embedded software, server, and shop-floor monitoring technology.

2020 to 2022

Process quality R&D

Participated as a contracted research organization in a robot-vision project for missing-part inspection.

2020 to 2022

Market-driven technology R&D

Led the development of software that combines MES, repetitive-work automation, and machine vision.

2020 to 2022

Field-demand smart-factory R&D

Led the development of a cloud MES that connects operating data from different sites.

2024 to 2026

Heterogeneous smart-manufacturing R&D

Leading ongoing R&D that connects different equipment types and shop-floor workers.

Company milestones

Company milestones are organized by year and month.

2025 to Jun 2026

Highlights
  • We applied cloud systems, manufacturing AI, smart-workshop delivery, and R&D outcomes on operating floors.

2023 to 2024

Highlights
  • We continued with AI pilots, regional smart-factory programs, upgrades, and post-delivery support.

2020 to 2022

  • Q-Factory Welding MES received GS certification.
Highlights
  • We completed cloud MES R&D, manufacturing-data AI pilots, corporate partnership projects, and direct contracts.

2017 to 2019

  • We developed equipment-data acquisition and welding-quality technology with a government-funded research institution.
Highlights
  • We expanded smart-factory and MES delivery across chemicals, food, automotive parts, machinery, and glass manufacturing.

2016

  • Won a supplementary-budget smart-factory project for Hyuintec and signed a four-party agreement.
  • Won a supplementary-budget smart-factory project for Chembase and signed a four-party agreement.
  • Received GS certification for the NCS-based training curriculum simulation program, certificate GS-16-00231.
  • Registered Q-Factory 1.0 as a smart-factory solution.
  • Won an R&D project for a production-cost analysis system using big data and deep learning.

2015

  • Won the NCS-based training curriculum simulation program R&D project.
  • Received confirmation as a registered software business.

2014

  • Moved the headquarters from Seongnam Venture Building to 41 Cheonho-daero 182-gil, Gangdong-gu, Seoul.
  • Received IMS information-management certification.
  • Received small-enterprise confirmation.
  • Obtained a worker-dispatch business permit.
  • Registered as a KEPCO KDN partner.

2013

  • Received direct-production confirmation for database construction.
  • Received women-owned business certification.
  • Received software direct-production confirmation.
  • Value Gate received GS certification, certificate GS-10-0078.
  • Established the Bizarim software research institute.
  • Auditor Kim Sook-hee became representative director.
  • Received software-business registration confirmation from the Korea Software Industry Association.
  • Received direct-production confirmation for computing services.
  • Signed an ERP consulting contract with Univera.
  • Changed the company name to Bizarim Co., Ltd.
  • Appointed Park Sung-wook as representative director.
  • Moved the headquarters to Seongnam Venture Building.

2012

  • Won a consulting contract commissioned by the Ministry of National Defense.
  • Established VNT Soft Co., Ltd.

Company details

Registered details for contracts and document delivery.

Keep what works. Change what must.

We separate the work to change first from the work that can wait for a later stage.

Plan your implementation