Mingtai Digital Infrastructure Ecosystem

Product Overview

Mingtai Digital Infrastructure Ecosystem is a low-code, AI-native enterprise-level digital base platform designed for medium and 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—Connector Engine, AI Agent Hub, Data Integration, Open Platform, and more—Mingtai transforms complex IT capabilities into visual configuration and intelligent interaction, 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 link, shifting from "people finding tasks" to "tasks finding people." Mingtai's market positioning is as the central node of enterprise IT architecture, suitable for organizations that need to deeply integrate existing systems and rapidly embrace AI capabilities.

Core Features

• Connector Engine: Break Down System Silos Connect to third-party APIs such as DingTalk, WeCom, and DeepSeek via visual configuration without coding, enabling data synchronization, message push, and payment integration. Supports multi-step orchestration and script mode, making complex integrations simple.

• AI Agent Hub: Natively Embed into Business Built on Microsoft Semantic Kernel, supports switching between multiple models (DeepSeek, Tongyi Qianwen, etc.). AI not only converses but also directly executes business operations through Function Calling, such as querying forms, initiating approvals, and analyzing data, truly achieving "intelligent-driven."

• Data Integration: Eliminate Data Silos Provides node-based visual workflow orchestration, supports pulling data from HTTP APIs, external databases, and other data sources, and performs transformation using built-in functions or scripts. Supports Cron scheduled triggers and incremental synchronization to ensure accurate and efficient data flow.

• Scheduled Tasks: Achieve Automated Operations Precisely schedule using standard Cron expressions, supports JavaScript and C# scripts, automatically executes tasks such as data synchronization, report generation, and scheduled cleanup, enabling 7x24 unattended operation.

• Open Platform: Integrate 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 covers from "application isolation" to "field level," ensuring different roles can only access data and functions within their authority, meeting enterprise-level security and compliance requirements.

Technical Specifications

Module	Technical Specifications
Connector Engine	Supports visual configuration; authentication methods: no authentication, OAuth 2.0 (auto-refresh token), custom script; execution modes: API mode (HTTP requests), script mode (C#/JS); supports multi-step chained orchestration
AI Agent Hub	Based on Microsoft Semantic Kernel; supports large models compatible with OpenAI protocol such as DeepSeek, Tongyi Qianwen; supports model routing (keyword/regex matching); supports BYOK (Bring Your Own Key); SSE streaming real-time response; hot deployment of configuration changes within 5 minutes
Data Integration	Node-based visual workflow orchestration; supports data sources such as HTTP API, external databases; built-in function library (string, date, numeric, etc.); supports C#/JS script nodes; trigger methods: Cron scheduling/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: internal messages, template messages (DingTalk/WeCom/WeChat/SMS); real-time communication: SignalR long connection (point-to-point/broadcast/group); supports QR code integration and JS-SDK
Organization and Permissions	Permission granularity: from application level to field level

Application Scenarios

• Scenario 1: Cross-system Data Synchronization and Process Automation Pain Point: Enterprises use multiple systems (e.g., ERP, CRM, OA) with no data interoperability, requiring employees to manually transfer data between systems, leading to low efficiency and high error rates. Solution: Use Mingtai's Connector Engine and Data Integration modules to visually configure a data synchronization pipeline from ERP to CRM, and execute it on a schedule 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 need to manually review large numbers of documents (e.g., invoices, contracts) and make judgments, which is time-consuming and labor-intensive. Data analysis reports require IT staff to manually write SQL, preventing business users from self-serving insights. Solution: Embed AI Agent in approval nodes to automatically recognize key invoice information, extract contract summaries, and assist managers in decision-making. Business users can directly ask the AI in natural language (e.g., "What is the sales trend for last month?"), and the AI automatically invokes Tool Calling to execute statistical queries and generate visual interpretations.

• Scenario 3: Build a Unified Enterprise-level Intelligent Customer Service Pain Point: Scenarios such as student inquiries, patient navigation, and property owner reports 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, enabling full self-service.

• Scenario 4: Legacy System Data Migration and Rapid New Application Development Pain Point: Enterprises want to replace old 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 old system data to new forms via 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 through the Open Platform's API.

Competitive Advantages

• AI Native, Deeply Embedded in Business: Unlike bolt-on AI chat modules, Mingtai's AI capabilities are natively embedded into every business link—form filling, process approval, data analysis—via Function Calling, achieving true "intelligent-driven."
• Visual Integration, Zero-code Connect Everything: The Connector Engine supports visual configuration, enabling connection to mainstream platforms like DingTalk, WeCom, and DeepSeek without coding, significantly lowering system integration barriers and costs.
• Open and Growable: Mingtai positions itself as the central node of the IT ecosystem, allowing third-party systems to easily call its capabilities through Open Platform, API, JS-SDK, etc., rather than being a closed silo.
• Enterprise-grade Security and Control: Permission control is fine-grained down to the field level. 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 including connectivity, intelligence, data, automation, and openness into one platform. Enterprises do not need to piece together multiple standalone products to obtain a complete, collaborative digital base.

Target Customers

• Target Enterprise Size: Medium and large enterprises, as well as rapidly growing organizations, typically having multiple business systems (e.g., ERP, CRM, OA) facing system silos and process fragmentation, with high demands for data security and compliance.
• Target Industries: Widely applicable to manufacturing, finance, healthcare, education, government, retail, internet, and other industries. Especially suitable for organizations that want to quickly embrace AI capabilities but do not want to be locked into a single cloud vendor.
• Target Roles:
  • CIO/CTO/IT Directors: Looking for a unified platform that can consolidate existing IT assets, reduce technical debt, and quickly respond to business innovation needs.
  • Business Department Heads: Want to reduce over-reliance on IT departments, enabling autonomous and rapid building and optimization of their own business applications.
  • Enterprise Architects/Development Teams: Need an open, extensible technical base to efficiently integrate third-party systems, develop new applications, and introduce AI capabilities.
• Typical Customer Cases: [To be supplemented] 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.