AskTable
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Capture business knowledge once, support everyone’s data needs

AskTable brings enterprise data, semantic configuration, permission governance, and multi-surface querying into one layer.

Real Data Access

Data Sources

Business Systems

ERP / CRM / Yonyou

Database

MySQL / PostgreSQL

Data Warehouse

ClickHouse / StarRocks

Documents

Excel / CSV / Feishu Base

Public Data

Weather / News / Market

Multi-Cloud

Alibaba / Tencent / Volcano

AskTable

Analytics Layer

Data Access·Databases, warehouses, files, multi-cloud
Knowledge Layer·Metrics, metadata, docs, preferences
Governance·Row, field, and masking controls
Query Anywhere·Web, Feishu, API, CLI

Trusted Answers in Scope

Business Insights

AI Digital Employee

Reusable business skills

Consumer Business

Retail / E-commerce / Hardware

Manufacturing

Efficiency / Quality / Equipment

SOE Groups

Group governance

More than Text-to-SQL: AskTable answers with a shared business knowledge layer and permission boundaries, so results are fast, verifiable, and governed.

Connect Data
Configure Semantics
Govern Access
Ask Anywhere
AskTable vs General AI Agents

Not a general agent, but an AI analytics layer on top of real enterprise data

AskTable connects large models with real enterprise business data, a business knowledge layer, permission governance, and multi-surface workflows, so AI returns verifiable answers under the right permissions.

General AI

Handles general language, knowledge, and content tasks

AskTable

Conversational data agent platform for real enterprise data

01

Private deployment

Keep data inside the enterprise environment for sensitive operations, finance, and member analytics.

02

Connect any data in minutes

Connect databases, warehouses, domestic databases, Excel / CSV, Feishu Base, and custom sources through DAP extensions.

03

Permission-aware answers

AI recognizes identity, role, and data scope. The same question should return different answers for different users.

04

Reusable business knowledge layer

Turn metadata, business documents, analysis preferences, and expert skills into one shared layer for consistent answers.

05

Multi-surface and agent reuse

Use the same capability through Web, Feishu, MCP, API, and CLI, then turn repeated analysis into agents and skills.

Let AI serve real business with the right environment, the right data, and the right permissions.

Customer Cases

Empowering everyone to easily and enjoyably gain insights from data

医药流通
医药流通01
Pharmaceutical Company

Business Users Query Directly Without Technical Background

Business departments rely on IT support for data access with long response cycles; traditional BI tools have long implementation cycles and high costs.

Business users query with natural language for instant access to sales and inventory data; supporting private deployment with data staying within the network.

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乳制品
乳制品02
Dairy Products Company

Generate Deep Analysis Reports with One Statement

Data scattered across Excel, legacy ERP, HR systems, and SaaS platforms; executives want insights with one statement but current processes rely on manual aggregation; no dedicated AI talent, need easy-to-use products.

Unified access to multi-source heterogeneous data, Excel can be uploaded directly; natural language drives dynamic workflows, auto-generating structured analysis reports; quick value verification, build while using.

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医药零售
医药零售03
Pharmaceutical Retail Chain

Precisely Attribute Gross Margin Issues

Don't know where the root cause of revenue growth but margin decline lies; store-level analysis capability insufficient, granularity only to chain level; large number of SKUs unsold (no sales for 14 days), affecting cash flow.

Progressive multi-dimensional breakdown: channel → category → store to locate anomalies; quantify discount impact: theoretical vs actual gross margin comparison; auto attribution analysis to identify common characteristics of underperforming stores.

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新能源
新能源04
New Energy Company

From Fixed-Format Questions to Progressive Natural Language Dialogue

Already using a major vendor's BI + AI query solution but insufficient capability; must ask in fixed format, cannot follow up; attribution analysis requires manual judgment.

Support progressive natural language dialogue with auto attribution analysis; combine maintenance manuals for actionable operational suggestions; private deployment meeting state enterprise data security requirements.

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服装零售
服装零售05
Fashion Brand Franchisee

From Statistical Filtering to Intelligent Instruction Execution

Existing systems can only do statistical filtering, cannot execute evaluation based on preset instructions; rely on manual Excel export with low efficiency; brand franchise system has data compliance concerns.

AI assists with ordering, promotion, repurchase decisions based on historical data; multi-source data integration analysis; natural language interaction for intuitive store operation display.

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云计算
云计算06
Cloud Computing CompanyCloud Computing Company

Sales Performance Data, Available Anytime, Anywhere

Sales staff need to open computers and manually operate when querying customer sales data, usage, and personal performance, which is cumbersome and inconvenient.

AskTable integrated into AI assistant, sales departments can query performance data via natural language anytime, anywhere, without computer operation, making decisions more efficient.

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电商零售
电商零售07
E-commerce Retail & MarketingE-commerce Retail & Marketing

AI Empowers Retail, Improving Query Experience

Pinkr Tech provides SCRM systems for thousands of SMEs in e-commerce, but complex data query operations affect decision-making efficiency.

AskTable embedded into Pinkr, business users can query store sales, member consumption data anytime, helping merchants operate efficiently.

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FAQ

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