Hengshi Technology
Hengshi Technology's new-generation AI-enhanced Agentic BI platform provides data integration, indicator modeling, visual analysis and ChatBI capabilities, and opens command-line tools for coding agents to execute BI projects, targeting software vendors and group IT teams.
Updated: 2026-10-26
What is Hengshi Technology?
Hengshi Technology's product is positioned as an enterprise-level AI-enhanced Agentic BI unified analysis platform. The official website clearly states that its target users are enterprise software vendors, industry partners and group IT teams. Its approach is not to build another isolated analysis system, but to integrate data intelligence capabilities into the software products that partners already have. In addition, the official has also opened a command line execution layer, allowing coding agents to directly perform BI engineering operations, which is relatively rare among similar BI products.
Who is it for?
- SaaS and ISV software vendors: They wish to embed data analysis capabilities into their own products rather than asking customers to use a separate independent system.
- Group IT and digitalization teams: Require a unified analytics foundation that supports reuse across multiple business lines and fine-grained permission isolation.
- Data engineers and analytics modelers: Focus on the actual performance of indicator modeling, semantic layer governance and HQL expression capabilities.
- Organizations with strict data security requirements: They need private deployment and ensure that both data and model inference are completed in a closed loop on-premises.
Key features
6Unified Analytics Foundation
The official states that the platform covers end-to-end processes including data integration and processing, metric modeling, visual BI and ChatBI, and is compatible with mainstream databases, analytical data warehouses and lake-house integrated platforms.
Data Intelligent Agent Workflow
The official splits the capabilities into three types of agents: data Q&A, visual creation, and modeling, enabling AI collaboration to run through the entire analysis workflow rather than being limited to a single Q&A entry point.
Indicator Semantic Layer
Complex logic is expressed through HQL. The official claims that it can realize the decoupling of data storage and computing from the indicator semantic layer, providing higher-accuracy context for conversational analysis.
Command Line Execution Layer
Provides structured commands and skill packages. The official states that it enables coding agents and persistent intelligent agents to directly advance BI engineering, and supports trial run verification and permission confirmation.
Open Platform Embedding
Supports multi-granularity embedding such as data applications, single dashboards, and single charts, as well as embedding of analysis function modules and in-depth front-end customization, and provides multi-tenant isolation.
Private Intelligence Control Pod
The official statement says that the all-round intelligent control pod, jointly developed with partners, encapsulates the analysis platform, private large models and automation engines, realizing that data does not leave the local machine.
How to use Hengshi Technology
- 1First, clarify whether you want to build an analysis platform in-house or embed it into existing products; the two approaches differ significantly in terms of integration methods and workload.
- 2It is recommended to govern indicator definitions and the semantic layer in advance, as the accuracy of conversational analysis highly depends on whether indicator definitions are clear and consistent.
- 3Before introducing the command-line execution layer, it is recommended to enable trial-run verification on a small scale first, and then release the permissions after confirming that the commands are as expected.
- 4For private deployment solutions, evaluate hardware specifications, model update methods, and O&M responsibility division in advance to avoid lacking support after launch.
Traffic & popularity
Data month Sep 2026
Hengshi Technology receives about 1.2K visits per month and ranks #15,421,817 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct37.5%
- Search34.6%
- Referrals11.1%
- Social5.9%
- Display ads3.9%
- Other7.1%
Top countries
- United States74.6%
- Japan25.4%
Estimated from third-party traffic data.
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