From Data to Intelligence

Focused on enterprise data and AI infrastructure software R&D and commercialization

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qData Enterprise Data Center Platform Product Suite

Seven platforms govern together to build an integrated data asset loop for building, managing, and using data.

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Qiantong Technology

Technology Foundation for the Intelligent Era

Sensing · Data · Knowledge · Decisions

Since 2018

Continuous Innovation

3000+

Customers Served

80%+

R&D Staff

qData Enterprise Data Center Platform Product Suite

Covers the full data lifecycle with modular products that can be deployed independently or work together seamlessly.

Data Center PlatformIntegrated · Governed
Metadata PlatformHolistic Insight · Traceable Lineage
Metrics PlatformUnified Definitions · Precise Measurement
Tag PlatformBusiness Profiles · Precision Operations
Master Data PlatformUnified Master Data · Shared Enterprise-wide
Data Asset Management PlatformAsset Consolidation · Unified Management
Data Asset PortalDiscoverable Assets · Self-service Data
Data Center Platform

An integrated platform for data integration, development, and governance that turns raw data into business assets for agile innovation and efficient decisions.

Data ModelingData IntegrationData CleansingAsset ManagementData Services
1. Connect and process data from multiple sources.
2. Unify modeling, development, scheduling, and operations.
3. Govern standards, quality, lineage, and assets.
4. Make data searchable, requestable, and reusable.
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End-to-end Data Integration, development, and governance platform
Data Center Platform Interface

Intelligent Platform Suite

Build a multidimensional AI product portfolio for independent deployment and ecosystem collaboration

Qiantong Intelligent Platform Suite Architecture View DetailsView DetailsView Details View DetailsView Details View Details

Smart Water Conservancy Digital Transformation

Integrate water data, monitoring, and intelligent decision-making to modernize water conservancy management

01
Water Operations Platform
01
Water Operations Platform
Build a digital water management hub for enterprise-wide collaboration
Unified Data Management
Efficient Collaboration
Intelligent Analysis
Command & Dispatch
Digital Enablement
Smart Management
Coordinated Operations
02
Reservoir Management Platform
02
Reservoir Management Platform
Modernize reservoir management with intelligent operational control
Comprehensive Data Sensing
Intelligent Engineering Oversight
Dispatch Optimization
Closed-loop Management
Modern Reservoirs
Intelligent Oversight
Management Upgrade
03
Digital Twin River Basin
03
Digital Twin River Basin
Mirror real river basin conditions for digital-physical integration and intelligent control
Physical-space Mapping
Multidimensional Data Fusion
Hydrological Simulation
Intelligent Decision Analytics
Dynamic Simulation
Intelligent Decision-making
Flood Control and Disaster Mitigation
04
Reservoir Operations Matrix
04
Reservoir Operations Matrix
Build a reservoir operation matrix to strengthen comprehensive sensing, forecasting, and management
Four-Comprehensive Coverage
Four-Forecast Capabilities
Four-Management Collaboration
Four-System Accountability
Four-Comprehensive Sensing
Four-Forecast Decisions
Four Managements and Four Systems
05
Water One Map
05
Water One Map
See all water resources on one map and connect spatial data with business applications
Comprehensive Resource View
Spatial Layer Management
Business-map Integration
Integrated Visual Oversight
One-map Overview
Smart Oversight
Resource Statistics
06
River Basin Dashboard
06
River Basin Dashboard
Present a panoramic view of basin operations for analysis, command, and dispatch
River Basin Overview
Key Metrics
Dynamic Risk Analysis
Integrated Decision Support
Situation Overview
Real-time Sensing
Command Decisions
07
Water Resources Management
07
Water Resources Management
Unify water resources management and improve utilization efficiency
Resource Ledger Management
Water Withdrawal Oversight
Water-volume Metrics
Supply-demand Analysis
Unified Oversight
Scientific Allocation
Water-volume Analysis

Enterprise Data Governance and Industry Intelligence Solutions

Build a unified, trusted data foundation for business innovation, governance, and industry AI

Industry High-Quality Dataset Development Solution

Industry High-Quality Dataset Development Solution

Automate cleansing, labeling, and quality checks for AI-ready datasets.

Industry High-Quality Dataset Development Solution

Automate cleansing, labeling, and quality checks for AI-ready datasets.

  • Auto Preprocessing
  • Assisted labeling
  • Quality checks
  • Data value conversion
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Asset Catalog & Self-Service

Asset Catalog & Self-Service

Build a searchable data map and self-service access through the Asset Portal.

Asset Catalog & Self-Service

Build a searchable data map and self-service access through the Asset Portal.

  • Data map
  • Business terms
  • Asset search
  • Self-service access
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Master Data & ID Unification

Master Data & ID Unification

Build golden records, mapping rules, and entity tags for system-wide consistency.

Master Data & ID Unification

Build golden records, mapping rules, and entity tags for system-wide consistency.

  • Golden records
  • Auto mapping
  • Entity tags
  • Cross-domain links
Contact UsView Details
Material & BOM Governance

Material & BOM Governance

Standardize material codes, sync BOMs, and track delivery quality.

Material & BOM Governance

Standardize material codes, sync BOMs, and track delivery quality.

  • One code per item
  • Clean legacy data
  • BOM mapping
  • Quality tracking
Contact UsView Details
Data Security & Compliant Sharing

Data Security & Compliant Sharing

Classify sensitive data, set policies, and support masking and approval.

Data Security & Compliant Sharing

Classify sensitive data, set policies, and support masking and approval.

  • Auto Classification
  • Metadata-driven Policies
  • Masking Approval
  • Secure Value Release
Contact UsView Details
Digital Twin Data Foundation

Digital Twin Data Foundation

Unify water codes, integrate multi-source data, and track lineage for live twin updates.

Digital Twin Data Foundation

Unify water codes, integrate multi-source data, and track lineage for live twin updates.

  • Unified water codes
  • Multi-source data
  • Lineage tracking
  • Live updates
Contact UsView Details
Smart Water Knowledge Solution

Smart Water Knowledge Solution

Build a unified knowledge foundation for water projects, basin governance, regulations, and professional materials.

Smart Water Knowledge Solution

Build a unified knowledge foundation for water projects, basin governance, regulations, and professional materials.

  • Water Knowledge Capture
  • Policy and Regulation Q&A
  • Engineering Content Reuse
  • Business Collaboration Support
Contact UsView Details
Pump Station Maintenance & Fault Diagnosis

Pump Station Maintenance & Fault Diagnosis

Capture equipment documentation, fault cases, and resolution experience for intelligent pump-station diagnostics and maintenance.

Pump Station Maintenance & Fault Diagnosis

Capture equipment documentation, fault cases, and resolution experience for intelligent pump-station diagnostics and maintenance.

  • Equipment Knowledge Base
  • Fault Case Capture
  • Intelligent Diagnostic Support
  • Maintenance Knowledge Reuse
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River Basin Governance and Business Collaboration Solution

River Basin Governance and Business Collaboration Solution

Integrate diverse knowledge assets for river basin systems and collaboration, improving content use and business support.

River Basin Governance and Business Collaboration Solution

Integrate diverse knowledge assets for river basin systems and collaboration, improving content use and business support.

  • River Basin Knowledge Integration
  • Cross-system Collaboration
  • Unified Content Management
  • Efficient Business Support
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Building Materials Manufacturing Knowledge Management Solution

Building Materials Manufacturing Knowledge Management Solution

Manage process, equipment, quality, and project documentation in building-material manufacturing to capture and reuse knowledge.

Building Materials Manufacturing Knowledge Management Solution

Manage process, equipment, quality, and project documentation in building-material manufacturing to capture and reuse knowledge.

  • Process Knowledge Capture
  • Equipment Document Management
  • Quality Experience Reuse
  • Project Document Consolidation
Contact UsView Details
Rail Transit Knowledge-based Operations Solution

Rail Transit Knowledge-based Operations Solution

Build a professional knowledge system for rail-transit technical content, maintenance standards, and project experience.

Rail Transit Knowledge-based Operations Solution

Build a professional knowledge system for rail-transit technical content, maintenance standards, and project experience.

  • Technical Knowledge Base
  • Maintenance Standards Q&A
  • Project Experience Capture
  • Frontline Support Efficiency
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Enterprise Knowledge Governance & AI

Enterprise Knowledge Governance & AI

Capture enterprise policies, processes, standards, and cases for cross-department knowledge sharing, content generation, and collaboration.

Enterprise Knowledge Governance & AI

Capture enterprise policies, processes, standards, and cases for cross-department knowledge sharing, content generation, and collaboration.

  • Enterprise Knowledge Governance
  • Policy and Process Capture
  • Cross-department Sharing
  • Intelligent Application Enablement
Contact UsView Details

Customer Success Stories

Proven in real industry scenarios, turning platform capabilities into data-driven AI innovation and business growth

Hubei Liantou Group Co., Ltd.
Data Asset Management PlatformData Asset Portal
Case Details →

Hubei Liantou Group Co., Ltd.

Build an enterprise data governance system, clarify data lineage, and provide precise, trusted decision dashboards for management.

Business Pain Points

Multi-business group data was scattered, standards were inconsistent, and assets were invisible and hard to reuse, affecting decisions and compliance.

Solutions

Build a unified data asset system that connects collection, governance, management, and use for efficient collaboration and intelligent services.

Core Benefits

Data service efficiency improved by over 90%, supporting strategic decisions and industrial collaboration.

Full-lifecycle professional services for high-quality project delivery

Professional Services

Safeguarding Project Delivery

Standard Delivery Process
Professional Technical Team
Rapid Response
Continuous Operations Support
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Deep Business Understanding
Understand real customer scenarios and identify core needs so solutions fit actual business use.
Flexible Custom Services
Provide flexible, scalable services tailored to each customer’s foundation and development stage.
High-quality Project Delivery
Use proven methods and an expert team to rigorously control schedule, quality, and outcomes.
Long-term Partnership
Go-live is only the beginning—we provide ongoing operations, optimization, and upgrades for long-term growth.

Trusted by Industry Leaders

Leading customers continuously unlock data value with Qiantong products

Qiantong News

Discover the latest news from Qiantong Technology

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Qiantong News

The latest company, product, technology, and industry updates.

Recognized at Launch: Qiantong Technology’s qOntology Named among AtomGit’s Most Influential Open Source Projects

Recognized at Launch: Qiantong Technology’s qOntology Named among AtomGit’s Most Influential Open Source Projects

Shortly after its open-source launch, Qiantong Technology’s ontology engineering platform qOntology was named among AtomGit’s Most Influential Open Source Projects. The selection draws on project data from the platform and feedback from developers worldwide. Designed for complex business scenarios, qOntology connects foundational ontology definitions with higher-level knowledge reasoning. It aims to address the high entry barriers, long development cycles, and implementation challenges of traditional knowledge graphs, while bridging data governance and AI agent applications. Qiantong Technology will continue refining the product, responding to community feedback, improving documentation and the developer experience, and exploring industry applications with universities and enterprises.

qOntologyQiantong TechnologyAtomGitOpen SourceOntology EngineeringKnowledge GraphsKnowledge EngineeringAI Infrastructure
qKnow Open Source Edition v2.4.4 Released: Configure Agent Memory and Reasoning Display, Import and Reuse Orchestration Resources

qKnow Open Source Edition v2.4.4 Released: Configure Agent Memory and Reasoning Display, Import and Reuse Orchestration Resources

qKnow AI Agent Platform Open Source Edition v2.4.4 improves conversation continuity, reasoning display, and the reuse of orchestration resources. New switches for conversation history and long-term memory let developers configure memory as needed and retain context across sessions. A new Agent reasoning display setting allows developers to show the reasoning process during debugging or hide it for a simpler presentation in demos. Agent and workflow resources can now be imported into the platform after local debugging, reducing repeated configuration and setup. The release also continues to refine the experience of creating, debugging, and orchestrating agents, making lightweight AI applications easier to build and reuse.

qKnow Open Source EditionAI Agent PlatformAgent MemoryReasoning DisplayResource ImportWorkflow ReuseOpen SourceAI Application Development
qKnow Professional Edition v3.1.5 Released: Expanded Workflow Orchestration and a New Text2SQL Plugin

qKnow Professional Edition v3.1.5 Released: Expanded Workflow Orchestration and a New Text2SQL Plugin

qKnow AI Agent Platform Professional Edition v3.1.5 expands workflow capabilities, allowing existing Agent and workflow resources to be imported and invoked, with MCP, Skills, and other tools orchestrated through a unified workflow interface. Enhanced MCP metadata queries support retrieving data source, table, and column information and executing SQL. The new Text2SQL plugin supports SQL generation, rewriting, error correction, performance optimization, comment generation, and code completion, organizing these capabilities into reusable workflow units. Together, Text2SQL and MCP provide richer schema context for natural-language-to-SQL tasks and complex queries across multiple tables, broadening the scope of data-centric AI applications.

qKnow Professional EditionAI Agent PlatformWorkflow OrchestrationText2SQLMCPMetadata QueriesData QueriesAI Applications
qData v3.0.1 Released: Data Modeling and Metric Management Upgrades with a New Derived Metrics Module

qData v3.0.1 Released: Data Modeling and Metric Management Upgrades with a New Derived Metrics Module

qData Data Center Platform Professional Edition v3.0.1 improves business planning, data modeling, and metric management workflows. The release adds a derived metrics management module, improves business entity relationship management and conceptual model relationship diagrams, and supports viewing and comparing historical versions of business entities and multiple logical model types. It also improves the display of information linked to data standards, pre-execution validation for data integration tasks, and resource configuration prompts. Support for FTP multi-file ingestion, TXT files, and cleanup of processed files further improves platform functionality and stability.

qDataData Center PlatformData ModelingMetric ManagementDerived MetricsVersion ManagementData IntegrationFTP Connectivity
qData Open-source Edition v1.6.5 Released: Doris Support for Metadata Management and Data Development, Plus Demo Data Cleanup

qData Open-source Edition v1.6.5 Released: Doris Support for Metadata Management and Data Development, Plus Demo Data Cleanup

qData Data Center Platform Open-source Edition v1.6.5 extends Apache Doris data source support beyond connections, queries, and data integration to metadata management and data development, bringing Doris resources into more day-to-day data management and development workflows. A new demo data cleanup SQL script uses DELETE FROM statements to remove records from specified tables while preserving their structure, reducing repetitive manual SQL execution for individual tables. Before running the script, confirm that no business data needs to be retained and back up the data to avoid deleting important records.

qData Open-source EditionData Center PlatformApache DorisMetadata ManagementData DevelopmentDemo Data CleanupData IntegrationOpen Source
Introducing qOntology Open Source: Bringing Ontology Engineering from Documents and Scripts to a Unified Workbench

Introducing qOntology Open Source: Bringing Ontology Engineering from Documents and Scripts to a Unified Workbench

The qOntology open-source ontology engineering platform connects business goals, terminology and semantics, ontology modeling, quality checks, version releases, and standard exports in one workflow. It turns scattered business definitions into manageable, reusable semantic assets for knowledge graphs, knowledge extraction, and AI agent applications.

qOntology Ontology Engineering PlatformData MaintenanceModel EngineeringModel Quality Checks
qData Data Center Platform Open-source Edition v1.6.4 Released: User Feedback Drives Continued Improvements to Features and Product Experience

qData Data Center Platform Open-source Edition v1.6.4 Released: User Feedback Drives Continued Improvements to Features and Product Experience

qData Open-source Edition v1.6.4 addresses community feedback by fixing incorrect status notifications when enabling or disabling data warehouse layers, a 404 error in the help documentation link for standard data elements, and character encoding issues in KingbaseES data integration. These fixes provide more accurate status feedback, restore access to documentation, and improve the stability of existing synchronization workflows.

qData Data Center PlatformData IntegrationBug FixesData Warehouse Layers
From Business Planning to Model Publication: How Does qData Manage the Entire Data Modeling Workflow?

From Business Planning to Model Publication: How Does qData Manage the Entire Data Modeling Workflow?

As enterprise data grows, tables become harder to find and metric definitions diverge. The root cause is often the lack of a unified modeling process. qData Data Modeling connects business planning, data warehouse layers, logical modeling, metric standards, and model publication in one workflow. Data domains, subject areas, and business entities clarify business relationships, while the ODS, DIM, DWD, DWS, and ADS layers organize five logical model types: source-aligned, dimension, fact, aggregate, and application models. Atomic metrics, business qualifiers, derived metrics, and data standards keep definitions consistent. Logical models can be published as physical tables and automatically registered as data assets, while existing tables can be brought under the same management by adding modeling information. This moves data development from creating tables on demand to a unified, searchable, and reusable approach.

qDataData ModelingData Warehouse LayersLogical ModelingMetric ManagementData StandardsData AssetsData Governance
qData Master Data Platform (MDM) Implementation Guide: Five Common Questions Answered

qData Master Data Platform (MDM) Implementation Guide: Five Common Questions Answered

Why does data still fail to match after an enterprise has built multiple systems? MDM implementation problems often stem from gaps in business agreement, rule design, and system coordination. This article clarifies the roles of model management, master data management, multi-source integration, and rule management, then addresses five common questions: how to agree on master data standards across business teams, keep legacy data cleansing manageable, integrate smoothly with existing systems, balance timely data distribution with accuracy, and decide whether IT or business teams should lead the project. It offers practical approaches using qData capabilities such as visual model management, configurable governance rules, multi-source connectivity, scheduled execution, and access control.

qDataMaster Data ManagementMDMData GovernanceData StandardsData CleansingMulti-source IntegrationData Distribution
Bring LLMs into Real Work: qKnow Professional Edition Gives AI “Hands and Feet” with Native MCP

Bring LLMs into Real Work: qKnow Professional Edition Gives AI “Hands and Feet” with Native MCP

This article examines the gap between LLMs that can answer questions and agents that can take action. Enterprises already have APIs, tools, and data services, but models cannot inherently discover these capabilities, determine which services to call and which parameters to supply, or feed results back into business workflows. qKnow Professional Edition brings MCP service management into the platform. Administrators can view service names, descriptions, types, tool counts, status, and creation details, and enable or disable services to control agent access. Custom MCP services turn existing business systems, data interfaces, and specialized tools into standard services. Tool list synchronization, enable/disable controls, and import into agent workflows make integration a matter of platform configuration. With service registration, permission boundaries, and call auditing, agents can connect to real systems, invoke specialized tools, and complete complex tasks under controlled conditions.

qKnowMCPLLM DeploymentAI AgentsAI EngineeringTool CallingAgent OrchestrationAI Governance
Daily Data Aggregation Across Multiple Systems: How Can You Move from Manual Processing to Reliable Data Workflows?

Daily Data Aggregation Across Multiple Systems: How Can You Move from Manual Processing to Reliable Data Workflows?

Manual exports, Excel preparation, and SQL queries can work well for small-scale, occasional data aggregation across multiple systems. When repeated daily, however, they increase costs, make rules dependent on individuals, complicate troubleshooting, and disrupt downstream use. Using qData Open-source Edition as an example, this article shows how data connections, data development, execution logs, data integration, synchronization logs, and result validation connect separate processing steps into a repeatable, observable, and verifiable data workflow.

qData Open-source EditionData Center PlatformData IntegrationData SynchronizationData DevelopmentData WorkflowsAutomationResult Validation
Enterprise Data Keeps Growing. Why Is It Still So Hard to Find When You Need It?

Enterprise Data Keeps Growing. Why Is It Still So Hard to Find When You Need It?

Why do enterprises have data that people still cannot find, understand, or use? Without a unified entry point, finding data depends on personal experience, scattered systems, costly interpretation, and disconnected access approval processes. Using qData Data Mart as an example, this article explains how to manage existing data as assets, publish them with information for users, and help business teams discover them through terms such as “cross section” and “river conditions.” Users can view basic information before receiving access, request permission once they identify what they need, and then view fields, data previews, API documentation, or file contents after approval—connecting data discovery, inspection, and use in one workflow.

qData Data MartData Center PlatformData AssetsAsset MapData DiscoveryAccess RequestsData UseAsset Management
National Day Release: qData Data Center Platform v3.0 Rebuilds Data Modeling to Connect Business Planning with Data Assets

National Day Release: qData Data Center Platform v3.0 Rebuilds Data Modeling to Connect Business Planning with Data Assets

qData Data Center Platform v3.0 rebuilds its data modeling framework around enterprise business needs, moving beyond table-based model management. The redesigned workflow connects business planning, data warehouse layers, logical modeling, metric definitions, model publication, and data asset creation. New capabilities include a modeling overview, warehouse layer management, data domains and subject areas, business entities, unified management of five logical model types, atomic metrics and business qualifiers, and model publication, alongside updates to data standards and asset modules. Together, they provide a shared foundation for data governance, asset management, and data applications from business definition through to data assets.

qData Data Center Platformv3.0Data ModelingData Warehouse LayersLogical ModelsMetric DefinitionsModel PublicationData Asset CreationData StandardsBusiness Planning
Why Does Report Data Never Match? qData Data Center Platform Professional Unifies Enterprise Data Definitions Starting with Data Standards

Why Does Report Data Never Match? qData Data Center Platform Professional Unifies Enterprise Data Definitions Starting with Data Standards

Starting with data standards, qData Data Center Platform Professional unifies enterprise data definitions through standards registration, data element definitions, code table management, data asset associations, and governance rules, resolving report discrepancies caused by inconsistent fields and code values.

qData Data Center PlatformData Integration
What’s the Difference Between Full Database Synchronization and Regular Data Integration in qData Data Center Platform Professional?

What’s the Difference Between Full Database Synchronization and Regular Data Integration in qData Data Center Platform Professional?

In qData Professional, data integration uses workflow-based processing for individual data tasks, while full database synchronization performs batch mapping and synchronization across multiple tables. The former fits scenarios requiring data transformation; the latter is designed for bulk migration.

qData Data Center PlatformData IntegrationData ProcessingData Movement
qKnow AI Agent Platform Community v2.4.1 Released: Optimized Unstructured Extraction Logic for a Smoother Knowledge Governance Experience

qKnow AI Agent Platform Community v2.4.1 Released: Optimized Unstructured Extraction Logic for a Smoother Knowledge Governance Experience

qKnow AI Agent Platform Community v2.4.1 optimizes unstructured extraction and knowledge document parsing, isolates task-level and document-level failures, and validates files before processing to improve the stability and fault tolerance of batch knowledge processing.

qKnow AI Agent PlatformVersion UpdateUnstructured ExtractionKnowledge Document Parsing
qData Data Center Platform Professional Data Lineage Full-chain Upgrade: One-click Connectivity Across Full Database Synchronization, Data Development, and API Nodes

qData Data Center Platform Professional Data Lineage Full-chain Upgrade: One-click Connectivity Across Full Database Synchronization, Data Development, and API Nodes

qData Data Center Platform Professional upgrades data lineage across the full chain, connecting full database synchronization, data development, and API service nodes for end-to-end tracing from data sources to business applications, improving issue localization and change-impact assessment.

qData Data Center PlatformFeature ExplanationData LineageFull Database SynchronizationAPI Services
Building a Standardized Open-source Ecosystem | qData Data Center Platform Front-end Engineering System Fully Upgraded

Building a Standardized Open-source Ecosystem | qData Data Center Platform Front-end Engineering System Fully Upgraded

The qData open-source Data Center Platform has completed a systematic front-end engineering upgrade, unifying static asset organization, naming, visual, and performance standards. It moves from feature availability to sustainable evolution and lowers enterprise rollout collaboration costs.

qData Data Center Platform Open-source EditionFeature ExplanationFront-end Engineering System
More Open, More Global: qData Data Center Platform Open-source Edition v1.5.4 Released with Full Multilingual Support and a New UI Experience

More Open, More Global: qData Data Center Platform Open-source Edition v1.5.4 Released with Full Multilingual Support and a New UI Experience

qData Data Center Platform Open-source Edition v1.5.4 is officially released, upgrading full-page multilingual adaptation, refreshed UI visuals, and static asset standards to advance the data center platform experience.

qData Data Center Platform Open-source Edition v1.5.4Version ReleaseComplete InternationalizationFront-end UI Experience Optimization
qKnow Open Source v2.2.2 Adds an End-to-end Industry Demo

qKnow Open Source v2.2.2 Adds an End-to-end Industry Demo

A pump-station demo, UI refinements, and stability improvements raise enterprise agent delivery quality.

qKnowProduct AnnouncementsqKnow Agent Building Platformv2.2.2Feature OverviewPump-station Demo DataVisual Interaction
qData Data Center Platform Core Capabilities | Issue 03: Data Quality Explained

qData Data Center Platform Core Capabilities | Issue 03: Data Quality Explained

qData data quality module builds closed-loop governance through panoramic views, zero-code configuration, and multi-source collaboration, supporting standard inheritance, scheduling, visual reports, and one-stop monitoring-to-fix management.

qDataProduct AnnouncementsData Quality GovernanceGovernance Closed LoopMulti-source Collaboration
Introducing the qKnow Agent Building Platform

Introducing the qKnow Agent Building Platform

qKnow connects knowledge, visual Bot orchestration, transparent development, and production applications.

qKnowProduct AnnouncementsAI AgentBot DevelopmentVisual OrchestrationTransparent Development

About Us

Customer Focus · Quality First · Innovation · Integrity

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Qiantong Technology — From Data to Intelligence

Jiangsu Qiantong Technology Co., Ltd. was founded in 2018 and focuses on enterprise data and AI infrastructure software R&D and commercialization, providing government, enterprise, and industry customers with a reliable long-term foundation for data and intelligent technologies.

With the qData enterprise data platform at its core, alongside the qKnow agent development platform, qModel algorithm model platform, and other products, the company has built a product portfolio spanning data governance, data assets, model management, and agent applications, helping enterprises progress from foundational data infrastructure to intelligent applications.

The company is headquartered in Jingang Science and Technology Innovation Park, Qixia District, Nanjing, with an R&D center in Zhengzhou High-tech Zone. Committed to productization, platform-based development, and long-term evolution, it continues to advance core technology research and product portfolio development.

Corporate Vision

Create shared success and move forward together

01FOR EMPLOYEES

For Employees

Develop leaders with sound values, strategic vision, digital thinking, design capability, and an innovative spirit, while building the Qiantong community.

02TO CUSTOMERS

For Customers

Act with integrity, reliability, and accountability; pursue excellence and deliver outstanding digital transformation solutions across industries.

03TO SOCIETY

For Society

Champion open source, share talent-development and teamwork practices, and take responsibility for society and the times.

2026

Service Philosophy

Working with you to deliver an exceptional service experience

Quality Service

Responsive, tailored, and quality assured

Technology Leadership

Lead with innovative technology and create new experiences

Efficiency First

Lean management and automation maximize efficiency and resource use

Integrity and Trust

Put customer interests first with honesty and integrity

Honors and Qualifications

Move forward with recognition while staying true to our purpose

Authoritative Recognition, a Trusted Choice

Industrial Internet Innovation Research Center and Bell Talent Academy youth employment and entrepreneurship practice base

6 technology foundations

Reliable, efficient, innovation-driven, and secure

4 invention patents,35 software copyrights

15 years of technical accumulation, fully self-developed

Qiantong Technology honors and qualifications

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Get product and service support from Qiantong Technology

Contact Us

Online Consultation

Talk with our team online

Contact UsService hours: Weekdays 9:00–18:00 (UTC+8)

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Phone

Fast response and attentive service

Hotline400-660-8208

Office Locations

Professional support, wherever you are

Jiangsu Qiantong Technology Co., Ltd.

Address: Building 1, Phase II, Jingang Science and Technology Innovation Park, No. 1 Kechuang Road, Qixia District, Nanjing

Phone: 025-86113275

Postal code: 211100

Route: Take Metro Line 7 to Xianxin Road Station, Exit 2.