Connect Enterprise Data and Systems
Connect office automation platforms, databases, documents, and business systems to give AI complete, actionable business context.
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.
Maximum observed reduction in repetitive manual steps
As of 2026. Figures reflect EdgeNext enterprise AI capabilities and real-world project deployments.
From data integration and workflow execution to ongoing operations, EdgeNext turns isolated AI experiments into repeatable, scalable production capabilities.
Connect office automation platforms, databases, documents, and business systems to give AI complete, actionable business context.
Enable AI agents to work together across data retrieval, analysis, content generation, task routing, and final delivery.
Manage enterprise knowledge, agents, workflows, model training, and evaluation in one place so capabilities can be reused and improved.
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.

Build conversational service agents for automated responses, knowledge-based answers, and ticket routing.
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Let business users query enterprise data in natural language and interpret reports and metrics faster.
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Combine multiple data sources and automatically generate structured analytical reports.
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Support multilingual transcription, summaries, key-point extraction, and action-item generation.
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Extend AI into government, healthcare, transportation, finance, insurance, and education.
Talk to an ExpertBuilt 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.
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.

Use natural language and visual tools to quickly create agents, skills, and enterprise AI applications.
Create an EdgeNext account to build agents, orchestrate workflows, operationalize enterprise knowledge, and evaluate models in one workspace.
Free trial credits and available resources are subject to the information displayed in the console.
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.
Deploy in a customer-designated data center or dedicated environment, with data stored and processed locally.
Run latency-sensitive workloads close to operations while using cloud resources for elastic scale.
Connect platforms, databases, documents, and business systems while applying existing access policies.
Evaluate models and agents against accuracy, performance, and measurable business outcomes.
Connect existing systems, validate performance under real business conditions, and deploy in the right environment.
Bring together business data, documents, knowledge, and enterprise applications.
Create purpose-built agents and skills for the selected business workflow.
Coordinate agents, people, data, and system actions across multistep tasks.
Validate performance, then deploy to the right edge, private, or cloud environment.
Use operating results to improve knowledge, skills, and workflow performance.
EdgeNext enterprise AI solutions are already running in complex community, healthcare, government, transportation, and service environments.





A densely populated residential community.
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.
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.



One of China's leading specialist kidney hospitals, with extensive experience in nephrology care and medical research.
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.
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.
Register to explore all four core capabilities, or talk to our team about your use case and deployment requirements.
Our enterprise AI specialists will help identify the right starting point and define a practical path forward.