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Works with mainstream databases, analytical warehouses, and cloud lakehouse platforms.
Enterprise AI + BI platform
For software vendors, industry partners, and enterprise IT teams, HENGSHI builds a unified Data + AI analytics foundation from integration and metrics modeling to BI and ChatBI.
Product-grade delivery
Built for software vendors and industry partners shipping analytics inside real product and business workflows.
End-to-end analytics chain
Covers data integration, metrics modeling, BI, and ChatBI in one governed execution path.
Embedding friendly
Supports embedding, APIs, and multi-tenant SaaS delivery with unified access control.
Built for builders
Bring Data + AI into the software products your partners already ship
Production proof
Working with leading enterprises, HENGSHI packages analytics infrastructure as a standard product so partners can launch vertical analytics applications faster.
Across ISVs, manufacturing, consumer brands, cloud services, and enterprise digital transformation
Analytics foundation
HENGSHI SENSE is not a loose bundle of point features. It is a unified platform that connects data engineering, metrics modeling, visual BI, and AI agent collaboration into a reusable enterprise delivery layer.
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Works with mainstream databases, analytical warehouses, and cloud lakehouse platforms.
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An open architecture for embedding, SSO integration, and fine-grained governance across products.
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End-to-end coverage across data integration, metrics modeling, BI, and ChatBI workflows.
Execution layer
HENGSHI CLI gives coding agents like Claude Code and Codex, as well as persistent runtimes like OpenClaw and Hermes Agent, a structured BI execution surface with bundled skills.
An execution layer for agents
A command tree plus bundled skills turns messy BI actions into stable runbooks instead of last-minute API guesswork.
A review layer for teams
Dry-run checks, permissions, and SSE feedback keep automation inspectable, confirmable, and safe to hand off.
Hand the command tree and skills bundle to the agent so it can read context, build assets, and return the result for review.
Data agent workflow
From data Q&A, modeling, and visual creation to business insight delivery, HENGSHI keeps AI collaboration running through the workflow instead of stopping at a single chat surface.
Ask
Start by matching intent, metric definitions, and the real question behind the prompt.
Model
Push AI deeper into data preparation, modeling, and expression instead of leaving it as a thin chat layer.
Deliver
Finish with dashboards, reports, and generated narratives that teams can actually review and ship.
Agent 01
A workspace for data access, query refinement, and analyst-grade exploration before assets move into downstream modeling.
Agent 02
From datasets to dashboards and reports, visual creation becomes a governed, reusable, and drag-and-drop capable workflow.
Agent 03
Supports zero-code business modeling as well as deeper engineering workflows with reusable functions, logic, and semantic assets.
Metrics layer
HENGSHI helps teams turn KPI systems into reusable assets. HQL decouples metric logic from storage and compute so governed metrics can power both BI and AI consumption.
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One definition
Define once and reuse across teams so metric disagreements stop consuming delivery time.
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Traceable governance
Themes, lineage, and permissions make metrics auditable instead of turning into spreadsheet folklore.
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AI-ready
A stable semantic layer gives ChatBI and AI agents much better context and higher answer quality.
Open platform
Help software vendors, solution providers, and enterprise IT teams compose analytics modules inside their own products and systems with lower delivery cost and more control.
Support granular embedding for applications, dashboards, and single charts while passing both data parameters and UI controls from the host system.
Embed dataset development, dashboard creation, and self-service analysis modules while keeping tenant workspaces isolated and governed.
All major platform actions expose APIs, making it practical to create bespoke frontend operations and delivery flows around the analytics engine.
HENGSHI CLI
Put data access, HQL queries, dashboard generation, permission actions, and dry-run checkpoints on one command chain so coding and persistent agents can push delivery forward directly.
CLI demos, agent integration, and rollout design can all be discussed quickly.