Skip to main content

miwork.ai is open — connecting documents, AI agents, and work apps

· 4 min read
Changwoo Hong
Minisoft AI Platform Tech Blog Author

TL;DR Minisoft's official MiWork site, miwork.ai, is now open. It brings together MiWork OCR for turning documents into usable data, MiWork Agents for connecting organizational knowledge to work, and MiWork VibeHub for building and operating internal apps.

Why open a separate site​

When a company starts applying AI to work, the questions usually fall into three groups:

  • How do we read and use scattered PDF, HWP, and Office documents?
  • How do we connect organizational knowledge and work tools to AI answers and actions?
  • How do we build, review, deploy, and operate the small apps that teams actually need?

MiWork brings these questions into one work-solution family instead of leaving them as a disconnected product list. Each solution can be explored and adopted independently, with a clear place to start for a specific problem.

MiWork OCR — documents into data​

MiWork OCR converts PDFs and images as well as HWP/HWPX, Word, PowerPoint, Excel, and HTML into structured, page-level results.

Short jobs can return immediately, while longer documents can be submitted and tracked until the result is ready. The product page also describes table handling and configurable OCR engines for different document types and accuracy/speed requirements.

Before a document can become searchable knowledge or feed a downstream AI workflow, it has to be read and structured reliably. MiWork OCR covers that first step.

MiWork Agents — from questions to action​

MiWork Agents is an enterprise AI agent workspace that connects organizational knowledge and work tools.

It brings document search and RAG, team knowledge bases, personal file workspaces, shared chatbots, and tool connections into one environment. Answers can include their source documents and continue into file work or connected business actions when needed.

For enterprise AI, operating standards matter as much as model quality. MiWork Agents also considers user and team access control, separated execution environments, credential management, usage and budget visibility, and audit records.

MiWork VibeHub — ideas into work apps​

MiWork VibeHub connects the full lifecycle of internal apps: create, review, deploy, discover, and operate.

App users can find and run the tools they need from an app store and personal dashboard. Builders can start from templates or their own Git repositories and use AI coding tools and shared platform services. Reviewers and operators manage visibility, app membership, deployment and rollback, runtime status, and logs.

When a field idea becomes a cost calculator, bid analyzer, or inspection tool quickly, speed is only part of the problem. Teams also need to decide who can use it, what data it can see, and how it is deployed and rolled back. VibeHub provides that operating foundation.

How the three solutions connect​

Each product can stand alone, but the shared flow becomes clearer when they are used together.

Document upload
  ↓
MiWork OCR — structured data
  ↓
MiWork Agents — knowledge search, questions, and actions
  ↓
MiWork VibeHub — build, deploy, and operate the work app

Organizations do not have to adopt them in this order. Some will start with document processing; others will start with team knowledge search or internal app operations. The site describes the current scope of each solution and provides a path to request an introduction.

What you can see on miwork.ai today​

This opening is not a claim that the product story is finished. It is a starting point for explaining the work solutions we are building in one place. We will keep updating the site as the product scope and use cases become more concrete.

Closing​

MiWork is not meant to be another screen with an AI feature attached. The goal is a connected flow in which documents become knowledge, knowledge becomes action, and the tools teams need can be safely operated inside the organization.

Take a look at the current direction and product family on the official site. Starting with one recurring work problem is enough.

Reactions and comments

Sign in with GitHub to comment and leave a reaction (like). Comments and GitHub usernames are public; editing, deletion, and reporting are handled through GitHub Discussions.