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HENGSHI BOX | Full-Domain Control, Private-by-Design ChatBI Appliance

HENGSHI BOX is an integrated private-deployment ChatBI appliance that combines HENGSHI SENSE, local AI inference, and Agent automation for secure enterprise data intelligence.

Jun 15, 2026NewsHENGSHI9 min read
HENGSHI BOXAgentic BIChatBIHENGSHI SENSEHENGSHI CLIPrivate Deployment
HENGSHI BOX | Full-Domain Control, Private-by-Design ChatBI Appliance

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A new generation of Agentic BI from Hengshi Technology

1. A Dedicated Private-Deployment ChatBI Appliance

HENGSHI BOX All-Domain Intelligent Control Hub is a dedicated ChatBI appliance developed by Hengshi Technology in partnership with xFusion. Unlike a simple bundle of software and servers, it brings together Hengshi’s mature BI analytics platform, a privately deployed large language model, and an Agent automation engine at the architectural level. The result is an enterprise-grade appliance for organization-wide data intelligence that is ready to use, physically isolated, and designed for a fully automated closed loop.

HENGSHI BOX is built to give every enterprise metric its own digital operator. The appliance establishes a physical security boundary for data, with no cloud deployment or external API calls required. It provides an end-to-end workflow from raw-data ingestion and automated BI project delivery to conversational data analysis and automated management reports. It offers a lightweight, secure, and efficient path for enterprises adopting AI at scale.

HENGSHI BOX addresses four long-standing limitations of conventional BI: lengthy implementation cycles, dependence on technical teams for operations, public-cloud AI data-exposure concerns, and high token and computing costs. From the hardware layer through the software stack, it delivers a differentiated private Agentic BI experience built on native product capabilities.

HENGSHI BOX | Full-Domain Control, Private-by-Design ChatBI Appliance

2. Core Product Capabilities

HENGSHI BOX differs from conventional BI software and public-cloud AI data-query tools through native, self-developed capabilities. Each capability is built into the appliance, with no plug-ins or secondary development required.

Agentic BI Autopilot

Most AI+BI products on the market provide passive question answering but cannot independently perform back-office tasks. HENGSHI BOX includes the HENGSHI CLI execution layer, giving its built-in Agents full authority to operate in the background. It is a BI autopilot designed to carry out work autonomously.

The appliance supports end-to-end BI project automation: it can detect table schemas, build data models across sources, generate visualization dashboards with a single command, and maintain data assets. With one natural-language instruction, an Agent can complete the back-office workflow independently. This removes the need for engineers to build models and dashboards manually and brings full-process BI automation into the appliance as a native capability.

Hardware-Level Security, With Data Kept in Domain

Security is native to the HENGSHI BOX hardware architecture, rather than an encryption layer added later. Model inference, data computation, and natural-language interaction all run locally. Sensitive business data, including orders, inventory, customers, and revenue, remains within the appliance, with no external data-transmission channel or public-cloud request.

This hardware-level security boundary meets the data-security requirements of highly regulated industries such as financial services, manufacturing, government, and retail. It removes the data-exposure risks associated with public-cloud AI+BI products and makes compliance available out of the box.

Token-Free, With No External API Costs

The appliance includes a private, local large language model that has been quantized and fine-tuned for BI use cases. It supports frequent enterprise analysis tasks such as SQL translation, metric-definition explanations, data-anomaly tracing, and management-report drafting. The appliance does not call external large-model APIs, so it incurs no token usage and no recurring computing-service fees.

It converts what would otherwise be variable, recurring cloud-compute costs into a depreciable, reusable hardware investment. This gives enterprises a more predictable long-term cost model for BI computing.

A Preinstalled Full-Stack Environment, Ready to Use

HENGSHI BOX ships with a full-stack environment already installed. Each appliance includes the HENGSHI SENSE intelligent analytics platform, a dedicated vector database, and a complete Agent automation skill set. Teams do not need to build a runtime environment, resolve software compatibility issues, or purchase additional analytics tools.

Deployment is simple: rack the appliance, connect power, and start intelligent data analytics. Compared with the months of deployment and tuning often required for traditional BI, HENGSHI BOX can bring business analytics online in minutes.

HENGSHI BOX | Full-Domain Control, Private-by-Design ChatBI Appliance figure 1

3. Deployment Scenarios

Every HENGSHI BOX scenario relies on native product capabilities rather than custom secondary development. The following standard capabilities can be deployed directly and illustrate the complete product interaction flow.

Scenario 1: Fully Automated BI Project Delivery

Capability foundation: Agent-driven CLI execution, automatic schema discovery, cross-source modeling, and one-click dashboard generation

Example product interaction:

HENGSHI BOX | Full-Domain Control, Private-by-Design ChatBI Appliance figure 2

Using the appliance’s native automation, modeling and dashboard work that would normally take BI engineers 3 to 5 days can be completed automatically in one minute.

Scenario 2: Persistent Agents Deliver Automated Management Briefings

Capability foundation: persistent monitoring Agents, automatic alerts for metric changes, automatic drafting of visual reports, and native DingTalk and WeCom integration

HENGSHI BOX | Full-Domain Control, Private-by-Design ChatBI Appliance figure 3

The appliance includes 24x7 monitoring Agents that require no manual supervision. Teams can set report schedules, automatically gather enterprise-wide metric data, create standardized visual management briefings, and send them to corporate collaboration tools. When a metric is abnormal, an Agent can trace the underlying cause and support follow-up analysis through conversation.

Scenario 3: Local Conversational Data Analysis in Natural Language

Capability foundation: a local NL2Metrics large language model, enterprise-wide metric definitions, SQL-free natural-language queries, and immediate visual output

HENGSHI BOX | Full-Domain Control, Private-by-Design ChatBI Appliance figure 4

The private large language model inside the appliance lets business users query data through conversation without SQL skills. The system calculates results against the enterprise’s unified metric definitions, preventing inconsistent interpretations. Data remains within the appliance throughout the query process, with no external transfer and no response delay.

4. Product Specifications

As a standardized hardware product, HENGSHI BOX is available in Professional and Enterprise editions. Each model ships with standardized hardware configurations, capacity, and form factor to support scenarios from departmental testing to large-scale group deployment, with no custom configuration required.

HENGSHI BOX | Full-Domain Control, Private-by-Design ChatBI Appliance figure 5

Demonstrations are now available for the appliance’s automated analytics, secure local inference, and autonomous Agent execution capabilities. HENGSHI also provides deployment consulting, integration support, and private-deployment trials.

Conclusion

HENGSHI BOX is neither standard BI software nor a conventional server. It is a private-deployment, integrated hardware-and-software appliance for Agentic BI.

It combines a secure hardware foundation with a complete BI intelligence stack for three core capabilities: automated BI project delivery, proactive report distribution, and SQL-free conversational data analysis. The appliance avoids recurring public-cloud token and compute fees, replacing them with a one-time hardware investment for long-term use. Its pre-integrated design also reduces the deployment and operations burden for enterprise teams.

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