Mingtai Digital Infrastructure Ecosystem

Product Overview

Mingtai Digital Infrastructure Ecosystem is a low-code, AI-native enterprise-grade digital base platform designed for medium to large organizations. It aims to solve core pain points commonly faced by enterprises, such as system silos, fragmented processes, scattered data, and low intelligence levels. By providing six core engines including the Connector Engine, AI Agent Hub, Data Integration, and Open Platform, Mingtai transforms complex IT capabilities into visual configurations and intelligent interactions, enabling enterprises to quickly build, integrate, and optimize their core business applications. Its unique value lies in not being a single application, but a growable, connectable, and intelligent digital ecosystem that helps enterprises natively embed AI capabilities into every business process, achieving a shift from "people finding tasks" to "tasks finding people." Mingtai's market positioning is to serve as the central hub of enterprise IT architecture, suitable for any organization that needs to deeply integrate existing systems and rapidly embrace AI capabilities.

Core Features

Mingtai provides end-to-end capabilities from system integration to intelligent decision-making through its six core engines.

Connector Engine: Breaking Down System Silos

Connect third-party APIs such as DingTalk, WeCom, and DeepSeek through visual configuration without coding, enabling data synchronization, message push, and payment integration. Supports multi-step orchestration and script modes, making complex integrations simple.

AI Agent Hub: Natively Embedding into Business

Built on Microsoft Semantic Kernel, supports switching between multiple models (DeepSeek, Tongyi Qianwen, etc.). AI can not only converse but also directly execute business operations through Function Calling, such as querying forms, initiating approvals, and analyzing data, truly achieving "intelligent driving."

Data Integration: Eliminating Data Silos

Provides node-based visual process orchestration, supporting data pulling from various sources like HTTP APIs and external databases, with transformation processing via built-in functions or scripts. Supports Cron scheduled triggering and incremental synchronization to ensure accurate and efficient data flow.

Scheduled Tasks: Achieving Automated Operations

Precise scheduling via standard Cron expressions, supporting JavaScript and C# dual-language scripts. Automatically executes tasks like data synchronization, report generation, and scheduled cleanup, enabling 7x24 unattended system operation.

Open Platform: Integrating into Existing IT Ecosystem

Provides a complete developer account system and API Explorer, allowing third-party systems to call Mingtai's data and capabilities through standard interfaces. Built-in SignalR real-time communication, QR code integration, and JS-SDK make Mingtai the IT hub of the organization.

Organization and Permission System: Secure and Controllable

Permission control extends from "application isolation" to "field-level," ensuring different roles can only access data and functions within their authorized scope, meeting enterprise-level security and compliance requirements.

Technical Specifications

Module	Technical Specifications
Connector Engine	Supports visual configuration; Authentication methods: No authentication, OAuth 2.0 (automatic token refresh), Custom scripts; Execution modes: API mode (HTTP requests), Script mode (C#/JS); Supports multi-step chained orchestration
AI Agent Hub	Based on Microsoft Semantic Kernel; Supports DeepSeek, Tongyi Qianwen, and other large models compatible with the OpenAI protocol; Supports model routing (keyword/regex matching); Supports BYOK (Bring Your Own Key); SSE streaming real-time responses; Configuration changes take effect within 5 minutes
Data Integration	Node-based visual process orchestration; Supports data sources like HTTP APIs and external databases; Built-in function library (string, date, numeric, etc.); Supports C#/JS script nodes; Trigger methods: Cron scheduled/manual; Supports timestamp-based incremental synchronization
Scheduled Tasks	Standard Cron expression scheduling; Supports JavaScript and C# scripts; Supports referencing shared script libraries and DLL assemblies; Supports manual immediate execution; Provides complete execution logs
Open Platform	Supports multiple developer accounts (CorpId + SecretKey); Built-in API Explorer; Message notifications: In-platform messages, template messages (DingTalk/WeCom/WeChat/SMS); Real-time communication: SignalR persistent connections (point-to-point/broadcast/group); Supports QR code integration and JS-SDK
Organization and Permissions	Permission granularity: Application-level to field-level

Application Scenarios

Mingtai's capabilities can be widely applied to various business scenarios. The following are typical application cases.

Scenario 1: Cross-System Data Synchronization and Process Automation

Pain Point: Enterprises use multiple systems (e.g., ERP, CRM, OA) with non-interoperable data, requiring employees to manually transfer data between systems, which is inefficient and error-prone. Solution: Use Mingtai's Connector Engine and Data Integration modules to visually configure a data synchronization pipeline from ERP to CRM, scheduled via Scheduled Tasks. When an order status changes in CRM, the connector automatically triggers, syncing the update to ERP and notifying relevant personnel, achieving end-to-end automation.

Scenario 2: AI-Driven Intelligent Approval and Data Analysis

Pain Point: In approval processes, managers must manually review numerous documents (e.g., invoices, contracts) to make decisions, which is time-consuming and labor-intensive; data analysis reports require IT personnel to manually write SQL, preventing business users from obtaining insights independently. Solution: Embed an AI Agent at the approval node to automatically identify key invoice information and extract contract summaries, assisting managers in decision-making. Business users can directly ask the AI questions in natural language (e.g., "last month's sales trend"), and the AI automatically calls the Tool Calling function to execute statistical queries and generate visual interpretations.

Scenario 3: Building a Unified Enterprise-Level Intelligent Customer Service

Pain Point: Scenarios like student inquiries, patient guidance, and owner repair requests require 7x24 response, but human customer service is costly and slow. Solution: Based on Mingtai's AI Agent Hub, quickly build an intelligent Q&A bot. The bot can connect to backend knowledge bases and business systems, automatically answer common questions, and when needed, query user information or initiate service tickets via Tool Calling, achieving fully self-service support.

Scenario 4: Legacy System Data Migration and Rapid New Application Development

Pain Point: Enterprises want to replace legacy systems but worry about difficult historical data migration and long, costly new application development cycles. Solution: Use Mingtai's Data Integration module to securely migrate data from legacy systems to new forms through ID mapping and consistency verification. Simultaneously, leverage Mingtai's low-code capabilities to quickly build new business applications and seamlessly integrate with the existing IT ecosystem via the Open Platform's APIs.

Competitive Advantages

Mingtai offers the following significant advantages in the market:

• AI-Native, Deeply Embedded in Business: Unlike external AI chat modules, Mingtai's AI capabilities are natively embedded into every business process—form filling, process approval, data analysis—via Function Calling, achieving true "intelligent driving."
• Visual Integration, Zero-Code Connection to Everything: The Connector Engine supports visual configuration, enabling connection to mainstream platforms like DingTalk, WeCom, and DeepSeek without coding, significantly reducing system integration barriers and costs.
• Open and Growable: Mingtai positions itself as the central hub of the IT ecosystem, allowing third-party systems to easily call its capabilities through the Open Platform, APIs, JS-SDK, etc., rather than being a closed silo.
• Enterprise-Grade Security and Control: Permission management is granular down to the field level, and AI supports BYOK (Bring Your Own Key), ensuring enterprise data security and cost transparency, meeting the strictest enterprise compliance requirements.
• All-in-One Solution: Integrates core capabilities like connectivity, intelligence, data, automation, and openness into one platform, eliminating the need for enterprises to piece together multiple independent products to obtain a complete, collaborative digital base.

Target Customers

Mingtai primarily serves the following customer groups:

• Target Enterprise Size: Medium to large enterprises and rapidly growing organizations, typically with multiple business systems (e.g., ERP, CRM, OA), facing system silos and process fragmentation, with high requirements for data security and compliance.
• Target Industries: Widely applicable across manufacturing, finance, healthcare, education, government, retail, internet, and other industries. Especially suitable for organizations looking to rapidly embrace AI capabilities without being locked into a single cloud vendor.
• Target Roles:
  • CIO/CTO/IT Directors: Seeking a unified platform to integrate existing IT assets, reduce technical debt, and quickly respond to business innovation needs.
  • Business Department Heads: Wanting to reduce over-reliance on IT departments, enabling autonomous and rapid building and optimization of departmental business applications.
  • Enterprise Architects/Development Teams: Needing an open, extensible technical base to efficiently integrate third-party systems, develop new applications, and introduce AI capabilities.
• Typical Customer Cases: [To be added] The product documentation does not mention specific customer cases, but it can be inferred that it is suitable for organizations with clear digital transformation and intelligent upgrade needs.