Enterprise AI + BI platform

Let business insight surface naturally
An AI-native agent
for enterprise analytics

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.

HENGSHI enterprise BI platform interface
AI copilot Ready
HENGSHI AI agent interaction interface

Built for builders

Bring Data + AI into the software products your partners already ship

A unified analytics foundation for SaaS, ISVs, and enterprise IT teams.

Production proof

Trusted by 200+ software vendors and industry partners

Working with leading enterprises, HENGSHI packages analytics infrastructure as a standard product so partners can launch vertical analytics applications faster.

View integration partners →

Across ISVs, manufacturing, consumer brands, cloud services, and enterprise digital transformation

Analytics foundation

Build a unified analytics foundation for enterprise Agentic BI

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.

HENGSHI agent layer

01

Works with mainstream databases, analytical warehouses, and cloud lakehouse platforms.

02

An open architecture for embedding, SSO integration, and fine-grained governance across products.

03

End-to-end coverage across data integration, metrics modeling, BI, and ChatBI workflows.

Execution layer

Let AI agents execute HENGSHI SENSE from the terminal

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.

cli.quickstart

from ask -> build -> verify

Hand the command tree and skills bundle to the agent so it can read context, build assets, and return the result for review.

$ everest dataset list --app retail-ops --output json
$ everest dashboard create --app retail-ops "East China command center"
$ everest authorize grant --target-type app --target-id app_42 --user 123:editor --dry-run
Preview passed · ready for approval
JSONSkillsDry-runSSE

skills.router

bundled with the CLI

everest-core -> normalize terms + auth
everest-data -> locate app / dataset / model
everest-workflow -> sequence cross-domain execution
everest-coreeverest-dataeverest-workflow

Data agent workflow

Not just ChatBI, but a Data Agent layer across the full delivery chain

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

Data Q&A Agent

A workspace for data access, query refinement, and analyst-grade exploration before assets move into downstream modeling.

Data Q&A Agent

Agent 02

Visualization Agent

From datasets to dashboards and reports, visual creation becomes a governed, reusable, and drag-and-drop capable workflow.

Visualization Agent

Agent 03

Modeling Agent

Supports zero-code business modeling as well as deeper engineering workflows with reusable functions, logic, and semantic assets.

Modeling Agent

Metrics layer

Use a governed metrics layer to make AI accurate in business context

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.

01

One definition

Define once and reuse across teams so metric disagreements stop consuming delivery time.

02

Traceable governance

Themes, lineage, and permissions make metrics auditable instead of turning into spreadsheet folklore.

03

AI-ready

A stable semantic layer gives ChatBI and AI agents much better context and higher answer quality.

HENGSHI metrics platform

Open platform

BI PaaS as an open analytics 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.

Embedded analytics 01

Embed finished analytics into your product with room for tailored reporting experiences.

Support granular embedding for applications, dashboards, and single charts while passing both data parameters and UI controls from the host system.

Embed finished analytics into your product with room for tailored reporting experiences.
Capability embedding 02

Assemble your own BI module and let end users analyze inside the product they already use.

Embed dataset development, dashboard creation, and self-service analysis modules while keeping tenant workspaces isolated and governed.

Assemble your own BI module and let end users analyze inside the product they already use.
Deep customization 03

Use HENGSHI as the analytics layer while reshaping the surrounding workflow and front-end interaction.

All major platform actions expose APIs, making it practical to create bespoke frontend operations and delivery flows around the analytics engine.

Use HENGSHI as the analytics layer while reshaping the surrounding workflow and front-end interaction.

HENGSHI CLI

Give AI agents a real BI execution layer with 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.

Agent skills HQL Dashboards Dry-run
Book a CLI demo

CLI demos, agent integration, and rollout design can all be discussed quickly.