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VEXPLOR

VEXPLOR Suite · Logic Studio (no-code kernel)

Logic Studio builds the database, APIs and screens from your schema

The core module and no-code kernel of VEXPLOR Suite. Design a schema on the canvas and DDL, APIs and UI are generated automatically, with a 6-stage automatic deployment.

Request an assessment(opens in a new window)See the 21 industry solutionsTry the cloud edition
Industry solutions
21
Standard tables
1,539
Screens
1,766
Workflows
145+

No-code kernel deployment flow

Swipe sideways to see the whole drawing.

A schema designed on the canvas passes through a 6-stage automatic deployment and becomes DDL, APIs and UI. Stage numbers show order only.

Standardization

Logic Studio starts with data structure, business logic and relationships already standardized

AI adoption stalls when data is scattered, business logic is inconsistent and relationships between data are undefined. Logic Studio starts with all three standardized.

  • Why AI stallsData is scattered across systems

    Data structure

    standard tables

    1,539

  • Why AI stallsBusiness logic is inconsistent

    Business logic

    industry solutions

    21

  • Why AI stallsRelationships between data are undefined

    Relationships (ontology)

    predefined relation types · one item master spans 14 solutions

    22

Industry solutions

Adopt the 21 industry solutions on Logic Studio, starting with what you need

All 21 solutions sit on the same standard tables and predefined relationships. Each detail page covers the field problems and the implementation scope.

Industry solution index21 / 20

Management/Resources

Production/Manufacturing

R&D/Engineering

Quality/Analytics

Equipment/Infrastructure

Logistics/Distribution

Sales/Customer

Collaboration/Productivity

Management/Strategy

Security/Certification

Food/Safety

Cosmetics/Pharma

Digital twin is one of the 21 industry solutions, and runs as the Vision module of VEXPLOR Suite for 3D views and simulation. See the Vision module

Manufacturing AI (Insight)

The Insight module runs four searches at once on Logic Studio data and answers where the evidence agrees

One question runs graph, vector, SQL and document search simultaneously, fuses the results and reasons along relationships from order to shipment. Agreement across evidence blocks hallucination.

Hybrid GraphRAG flow

Swipe sideways to see the whole drawing.

The chain order → BOM → stock → purchase → shipment is an illustrative multi-hop example.
  • Simultaneous Graph, Vector, SQL and Doc search with multi-hop reasoning
  • Ontology evidence and agreement across search results block hallucination
  • Neuro-symbolic causal inference finds root causes by causation, not correlation, and explains the reasoning
  • Six-tier memory — conversation, session, process, task, organization, domain — improves with use
  • Three agent tiers (CEO · Supervisor · Worker) and five functions (perceive, predict, automate, communicate, generate)
  • Related registered patent KR 10-3003470 — real-time graph retrieval-augmented generation using a tag-based metamodel

Processing time for five key tasks

  • Quality root-cause analysis

    Before3 hours

    With AI30 seconds

  • Equipment failure impact analysis

    Before2 hours

    With AI1 minute

  • Alternative material recommendation

    Before1–2 days

    With AI10 seconds

  • Company-wide status report

    Before3–5 days

    With AI5 seconds

  • Recall scope identification

    Before4 hours

    With AI1 minute

Processing time compared by product capability; these are not customer-measured cases.

Adoption

Logic Studio kick-off runs through 2 weeks of scoping, 2 weeks to the first screens and about 1 month of testing

Scope and data structure come first, then working screens are verified on site.

  1. 2 weeks

    Scoping

    Confirm scope and data structure

  2. 2 weeks

    First software screens

    See screens that actually work

  3. about 1 month

    Testing

    Verify on site

These are kick-off stages under a direct contract, not the full implementation period. Larger scopes take longer, and government programs follow their own agreement periods.

Four levels of AI maturity

  • Stage 1

    Manual Q&A

    AI answers user questions based on data

  • Stage 2

    Proactive intervention

    AI detects anomalies and alerts or proposes first

  • Stage 3

    Autonomous decision and execution

    AI decides and executes automatically once a person approves

  • Stage 4

    AI OS factory operation

    The target stage where AI runs the whole factory

Do we have to replace the systems we use today?

There are two ways. Keep existing systems and connect AI agents through the ontology, or move to Logic Studio solutions and build anew. The adoption assessment decides which fits your plant.

Execution authority handed to AI is split into levels. See authority levels

Cloud edition

No installation, on Microsoft Azure — VEXPLOR Logic Studio cloud edition

The VEXPLOR Logic Studio cloud edition runs the 21 business domains built with the no-code kernel on this page, ready to use on Microsoft Azure.

  • 21 business domains

    21 manufacturing domains run on one data model. Standard opens 5 of them: ERP, MES, QMS, WMS and Groupware.

  • Search that shows its evidence

    Every answer lists the records it came from. When nothing matches, the service gives no answer and says so.

  • Browse the real screens

    Preview screens captured from the running service. Companies and items shown are sample data.

See the cloud editionBrowse the real screens

Assessment

An adoption assessment decides which solution your plant needs first

Tell us the systems you use today and your most urgent work, and we review together where to start.

Request an assessment(opens in a new window)

contact@wace.me+82-70-4730-0629