Scenario Experience
Feishu
Choose your preferred way to join
AskTable brings enterprise data, semantic configuration, permission governance, and multi-surface querying into one layer.
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
Business Insights
Chain Stores
Views / Revenue Share
Store Management
Wind Power / Solar
dataIntelligence.industries.manufacturingSub
dataIntelligence.industries.soeSub
More than Text-to-SQL: AskTable answers with a shared business knowledge layer and permission boundaries, so results are fast, verifiable, and governed.
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
Keep data inside the enterprise environment for sensitive operations, finance, and member analytics.
Connect databases, warehouses, domestic databases, Excel / CSV, Feishu Base, and custom sources through DAP extensions.
AI recognizes identity, role, and data scope. The same question should return different answers for different users.
Turn metadata, business documents, analysis preferences, and expert skills into one shared layer for consistent answers.
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.
DigTable gathers, stores, and models data. AskTable powers Q&A, analytics, and agent calls, forming one enterprise AI data intelligence path.
Empowering everyone to easily and enjoyably gain insights from data
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.
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.
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.
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.
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.
Cloud Computing CompanySales 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.
E-commerce Retail & MarketingPinkr 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.
Product updates and in-depth technical articles about AskTable AI
Latest news and updates from AskTable
Answers to your questions about AskTable
AskTable is supported by talented people and teams in generative AI and database fields
