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Intelligent interface control

Let the Agent understand business interfaces and turn natural language requests into precise interface actions. Guide users quickly to the screens they need, saving substantial time.

Native command execution

Let the Agent invoke native system commands directly, completing business operations with clear inputs and results. Turn large volumes of repetitive tasks into standardized workflows to improve efficiency.

Flexible compatibility

Built on common standards, with plug-and-play support for leading AI agent frameworks. Users can choose according to their preferences and business needs.

Easy installation

Start installation with a single sentence: tell AI the plugin package name, and it will automatically install the plugin for you, handling the entire process.

Security safeguards

Inherited access

The Agent inherits the user's system account permissions. The data it can access and the actions it can take follow existing authorization, keeping access boundaries clear and consistent as AI joins the workflow.

Human approval

Even within existing account permissions, actions that require approval pause for user confirmation. Users decide whether to proceed, combining automated execution with human review and keeping key steps under their control.

Process audit

Key steps are recorded from the initial request and approval through execution and results. Review when actions happened, who performed them, and their outcomes to trace tasks, verify work, and investigate issues.

Data security

Business data and sensitive information stay within a controlled scope, following your existing data access and security policies. As your Agent handles business tasks, data use remains aligned with your protection requirements.

Inherited access

The Agent inherits the user's system account permissions. The data it can access and the actions it can take follow existing authorization, keeping access boundaries clear and consistent as AI joins the workflow.

Awaiting approval

Permission check passed. This change awaits your approval.

Human approval

Even within existing account permissions, actions that require approval pause for user confirmation. Users decide whether to proceed, combining automated execution with human review and keeping key steps under their control.

Logged
Agent · Updated a record

Process audit

Key steps are recorded from the initial request and approval through execution and results. Review when actions happened, who performed them, and their outcomes to trace tasks, verify work, and investigate issues.

Data security

Business data and sensitive information stay within a controlled scope, following your existing data access and security policies. As your Agent handles business tasks, data use remains aligned with your protection requirements.

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Powered by AI

Deeply integrate AI with established business practices, helping AI understand industry knowledge and workflows so it can serve as a professional assistant to managers and employees.

Meet ibridge

Learn more

ibridge is a rapid bridge inspection system based on machine vision. It can assess the load-carrying capacity of in-service bridges under normal traffic conditions.

Zero traffic disruption

Advanced algorithms capture and isolate bridge response data in normal traffic without road closures.

High precision

0.03mm

Non-contact monitoring tracks changes in bridge displacement with measurement error within ±0.03 mm.

High reliability

95%+

The relative error between rapid detection results and the reference can consistently be kept within 5%.

Address ageing infrastructure, growing traffic loads and extreme disaster risks with stronger condition sensing, risk alerts and intelligent inspection. Shift bridge management from reactive treatment to proactive prevention, from experience-based to data-driven decisions, and from scheduled to condition-based maintenance.

Select a line point or bar to inspect its value. Switch the bridge stock chart between count and total length.

From 2022 to 2025, China's highway bridge count rose from 1.0332 million to 1.1441 million, an increase of 110,900 or about 10.7%. More bridges now require routine inspection and periodic testing.

FAQ

Learn how to use the ibridge AI assistant, which models it supports, what it can do, and how data is protected.

How do I access and use the AI assistant?

The AI assistant (agent) is built into ibridge and does not require a separate installation. Whether you use the SaaS or on-premises edition, you can open the AI assistant from the ibridge management interface to start a conversation or assign a task.

Which large language models does the AI assistant support?

The AI assistant supports mainstream open-source models including DeepSeek, Qwen, and GLM. For on-premises deployment, we recommend DeepSeek-V4.1-Flash, Qwen3.8-Flash-Next, Qwen3.8-27B, or GLM5.3-Flash. If a model provider's hosted API is used, business data must be sent to an external service, so data-security and compliance requirements should be assessed carefully.

What can the AI assistant do in ibridge?

The AI assistant can combine bridge-inspection data, business knowledge, and workflows in the ibridge system to help users find information, aggregate and summarize data, quickly locate system functions, automate related business operations, and initiate integrated tasks through conversation. Available capabilities and permitted actions depend on user permissions and related configuration.

What environment and configuration are required for on-premises deployment?

Requirements depend on the selected model size, expected concurrency, and data volume. A server or container environment capable of running ibridge is required, together with a dedicated compute server configured for the selected model. Before implementation, the project team evaluates the deployment plan and provides configuration recommendations based on the selected model and expected usage.

How are business data and model calls protected?

The AI assistant follows the permissions of the user's ibridge account, while approvals and activity records can govern critical operations. If a model provider's official API is used, relevant data must be sent to an external service and therefore risks leaving the locally controlled environment. For sensitive data, we recommend prioritizing on-premises deployment and completing data classification, redaction, and compliance review before model calls are enabled.

Can the AI assistant's analysis and recommendations be used as formal bridge-inspection conclusions?

The AI assistant helps users find information, understand inspection data, and handle related tasks in ibridge. It does not replace formal inspection procedures or professional judgment. Bridge inspection, load-capacity assessment, and maintenance decisions should rely on formal ibridge inspection results, applicable technical standards, and review by qualified professionals.