EdgeNext

Move Enterprise AI From Pilot to Production

Bring together edge computing, enterprise AI, and industry solutions in one integrated technology stack. Connect enterprise data and systems to build and run AI agents and automated workflows.

On-premises, edge, and cloud
Enterprise system integration
80+ real-world deployments
Proven in applicable deployed workflows
-85%

Maximum observed reduction in repetitive manual steps

01
Data Collection
02
Intelligent Decision-Making
03
Intelligent Analysis
04
Result Delivery
50+
Industry-Specific AI Agents
700+
Domain Knowledge Bases
60+
Ready-to-Use Skills
80+
AI Deployments

As of 2026. Figures reflect EdgeNext enterprise AI capabilities and real-world project deployments.

The Business Value of Enterprise AI

More Than Another AI Tool—AI Embedded in Your Business Workflows

From data integration and workflow execution to ongoing operations, EdgeNext turns isolated AI experiments into repeatable, scalable production capabilities.

Connect Enterprise Data and Systems

Connect office automation platforms, databases, documents, and business systems to give AI complete, actionable business context.

Automate Workflows Across Systems

Enable AI agents to work together across data retrieval, analysis, content generation, task routing, and final delivery.

Build and Operate AI Capabilities at Scale

Manage enterprise knowledge, agents, workflows, model training, and evaluation in one place so capabilities can be reused and improved.

Use Cases

Start With Everyday Work. Expand Into Industry-Critical Workflows.

Begin with high-frequency, measurable use cases, then expand by connecting industry knowledge, enterprise systems, and the right deployment environment.

Business team discussing customer requirements

Intelligent Customer Service

Build conversational service agents for automated responses, knowledge-based answers, and ticket routing.

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Team reviewing business data across multiple screens

Intelligent Data Query

Let business users query enterprise data in natural language and interpret reports and metrics faster.

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Business analytics and reporting charts displayed on a laptop

Intelligent Reporting

Combine multiple data sources and automatically generate structured analytical reports.

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Team collaborating around a conference table

Intelligent Meetings

Support multilingual transcription, summaries, key-point extraction, and action-item generation.

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Modern city and transportation infrastructure viewed from above

Key Industries

Extend AI into government, healthcare, transportation, finance, insurance, and education.

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Enterprise AI Architecture

One Composable Enterprise AI Stack, From Edge Infrastructure to Industry Applications

Built on edge and private computing infrastructure, EdgeNext connects models, enterprise knowledge components, edge AI capabilities, four core AI capabilities, and industry applications in one technology stack. Start with a focused use case and expand as business needs evolve.

05

Industry Applications

Government and Public Services
AI customer service
Document processing
Traffic management
Community safety
Healthcare and Education
Chronic disease management
Smart education
Financial and Commercial Services
Financial risk management
Conversational data analytics
Enterprise and Workplace
Document automation
Meeting summaries
04

Enterprise AI Platform

AI Application and Agent Development
Multi-Agent and Workflow Orchestration
Enterprise Knowledge and Skill Management
Model Training, Inference, and Evaluation
03

Enterprise Knowledge and Tooling

Knowledge Components
RAG knowledge bases
File parsing
Vector databases
Retrieval and Tools
Web search
Tools and MCP services
Code interpreter
Orchestration and Context
Prompt engineering
Conversation context management
Edge AI Capabilities
Multi-Level Caching
Heterogeneous Model Routing
Tenant Isolation
Security Auditing
02

Models

Pre-Integrated Models
DeepSeek
Qwen
MiniMax
Private Models
Custom models deployed in private environments
01

Compute Infrastructure

Private compute
Edge servers
Bare-metal GPUs

Four Core AI Capabilities

Build, Orchestrate, Operationalize Knowledge, and Evaluate Models

Connect existing enterprise systems and use natural language and visual tools to bring data, knowledge, and business workflows together.

EdgeNext agent builder studio interface

Use natural language and visual tools to quickly create agents, skills, and enterprise AI applications.

Free AI Workspace Access

Register Once. Explore Enterprise AI for Free.

Create an EdgeNext account to build agents, orchestrate workflows, operationalize enterprise knowledge, and evaluate models in one workspace.

01
AI Application and Agent Development
02
Multi-Agent and Workflow Orchestration
03
Enterprise Knowledge and Skill Management
04
Model Training, Inference, and Evaluation

Free trial credits and available resources are subject to the information displayed in the console.

Deployment and Data Control

Choose Where AI Runs Based on Business, Performance, and Compliance Requirements

EdgeNext supports on-premises, edge, cloud, and hybrid deployment and connects to existing enterprise systems. Choose the right deployment approach based on data residency, access latency, resource scale, and operating model.

On-Premises and Private Deployment

Deploy in a customer-designated data center or dedicated environment, with data stored and processed locally.

Edge, Cloud, and Hybrid Deployment

Run latency-sensitive workloads close to operations while using cloud resources for elastic scale.

System and Access Integration

Connect platforms, databases, documents, and business systems while applying existing access policies.

Continuous Improvement

Evaluate models and agents against accuracy, performance, and measurable business outcomes.

The Path to Production

Start With a Real Business Need. Scale to Production.

Connect existing systems, validate performance under real business conditions, and deploy in the right environment.

01

Connect Data and Systems

Bring together business data, documents, knowledge, and enterprise applications.

02

Build AI Agents

Create purpose-built agents and skills for the selected business workflow.

03

Orchestrate the Workflow

Coordinate agents, people, data, and system actions across multistep tasks.

04

Evaluate and Deploy

Validate performance, then deploy to the right edge, private, or cloud environment.

05

Improve Continuously

Use operating results to improve knowledge, skills, and workflow performance.

Customer Case Studies

Real Solutions. Measurable Results.

EdgeNext enterprise AI solutions are already running in complex community, healthcare, government, transportation, and service environments.

Residential community supported by visual AI safety operations
Residential building monitored by the Smart Eye system
Community public space monitored for safety risks
Elevator safety risk detected by visual AI
Vehicle obstruction detected in a fire lane
Public Safety · Community Security

"Smart Eye" Visual AI Early-Warning Agent

Customer

A densely populated residential community.

Challenge

The community faced persistent challenges involving access management, illegal parking, electric bicycles entering elevators, tracing objects thrown from buildings, and blocked fire lanes. Traditional approaches were labor-intensive and slow to respond. Target scenarios included detecting falling or thrown objects, electric bicycles entering elevators, vehicles blocking fire lanes, and illegal road occupation.

Solution Delivered

EdgeNext deployed the "Smart Eye" visual AI early-warning agent, built on independently controlled visual foundation model technology. The agent proactively identifies abnormal activity, issues alerts, and routes tasks, connecting detection, response, and follow-up in one workflow.

95%
Risk detection accuracy
60%
Reduction in safety incidents
24/7
Automated inspection
AI doctor assistant mobile application
Clinical AI assistant integrated into the hospital dashboard
Healthcare deployment outcome comparison chart
Healthcare · Chronic Disease Management

AI Diagnosis and Nutrition Management System

Customer

One of China's leading specialist kidney hospitals, with extensive experience in nephrology care and medical research.

Challenge

As the number of patients with chronic conditions continued to grow, routine follow-ups, lifestyle consultations, and long-term health management placed increasing pressure on care teams. The hospital also needed to strengthen ongoing support after diagnosis.

Solution Delivered

EdgeNext built a dual-track AI diagnosis and nutrition management system, including an AI clinical assistant and AI digital doctor. The system helps primary care and specialist physicians conduct screening and follow-up while delivering personalized nutrition management and continuous patient support.

20%
Increase in early CKD detection
2M+
Residents reached
24/7
AI-powered care

Frequently Asked Questions

What You May Want to Know Before Starting

Register to explore all four core capabilities, or talk to our team about your use case and deployment requirements.

After registering, you can access the EdgeNext AI workspace and explore application and agent development, multi-agent orchestration, enterprise knowledge and skill management, and model training, inference, and evaluation. Free usage limits and available resources are subject to the information shown in the console.
From Pilot to Production

Tell Us What You Want to Solve

Our enterprise AI specialists will help identify the right starting point and define a practical path forward.

Contact Us